Mondai

Workshop: Navigating the Interplay of Explainability and Privacy in AI
2024-02-08 08:00 - 2024-02-09 17:00 (Europe/Amsterdam) | Aula Conference Centre, Mekelweg 5, Delft, 2628CC, Nederland
The Delft Design for Values Institute hosts a workshop series on Value and Value Conflicts. On February 8 and 9 they are Navigating the Interplay of Explainability and Privacy in AI.
In the ever-evolving landscape of artificial intelligence, where ethical considerations intersect with innovation, the Delft Design for Values Institute (DDfV) aims to develop a workshop series on values and value conflicts in AI systems, with a specific focus on their application in real-world domains. With their workshop series, they are dedicated to supporting the DDFV Institute in becoming a crucible of knowledge, fostering discussions that will guide AI development towards a more responsible and equitable future. Together, you will delve into the intricate web of values, biases, and choices that underlie AI systems, recognizing that the deployment and use of these powerful techniques in real-world domains such as healthcare, finance, and beyond carry unique responsibilities and challenges.
Their inaugural workshop is hosted by Dr. Megha Khosla, Assistant Professor in the Multimedia Computing Group in the Intelligent Systems Department at TU Delft. In this series they will hone in on the values of explainability and privacy, addressing their critical role in the development of AI models for healthcare and medicine. The DDfV recognizes that in this field, the stakes are exceptionally high, as AI technologies have the potential to revolutionize patient care, diagnosis, and treatment. However, with great innovation comes even greater responsibility. You will explore the intricate interplay of these values, highlighting the need and challenges of making our methods more transparent while preserving the privacy of employed data.
Interested? You can find the full programme and register by clicking the button below:
Full Programme and RegistrationThe Delft Design for Values Institute
Design for values requires the integration of different kinds of expertise and skills. It requires knowledge of and expertise in design, philosophical knowledge of values and relevant moral theories, and domain knowledge of specific technologies. TU Delft is uniquely positioned to bring such knowledge and skills together in one institute. It is well known for its excellence in engineering and design, but it also has unique expertise in philosophy and ethics of technology. In the last few decades, researchers from TU Delft have internationally played a prominent role in (further) developing the design for values approach.
The Delft Design for Values Institute (DDfV) is a collaboration between five of TU Delft’s faculties: Technology, Policy and Management (TPM), Industrial Design Engineering (IDE), Architecture and the Built Environment (ABE), Civil Engineering and Geosciences (CEG) and Electric Engineering, Mathematics, and Computer Science (EEMCS). The institute contributes to the realization of the mission of TU Delft “to make a significant contribution towards a sustainable society” and to train “scientists and engineers with a genuine commitment to society” in order to contribute to “technological innovations with both economic and social value”.
Do you want to learn more about the DDfV? You can learn more about the organisation here and read up on their mission and vision here!

Meet & Greet with Roland Busch, President and CEO of Siemens AG
2024-02-15 10:00 - 10:45 | Mondai | House of AI – Delft, Molengraaffsingel 29, Delft, 2629 JD
Mondai | House of AI is pleased to host the TU Delft Meet & Greet with Roland Busch, president and CEO of Siemens AG!
Join us for a Meet & Greet on February 15th where you will have the unique chance to engage in a Q&A session with Roland Busch. Direct dialogue with Roland will give you the opportunity to delve deeper into Siemens’ innovative initiatives and future challenges. Come and gain insights into the strategy that drives Siemens as a tech company, Roland’s vision on technology and the role AI and digital technologies can play now and in the future!
Inspiration and interaction
During the Meet & Greet you can engage in a dynamic and inspirational discussion with Roland Busch. Delve into Roland’s leadership philosophy, Siemens’ vision for the future, the industrial metaverse and the broader landscape of innovation and technology. Our moderator, Irene Rompa, will guide a dynamic and engaging discussion.
Event Details
09:30 – 10:00 Doors open
10:00 – 10:45 Meet & Greet with Roland Busch, moderated by Irene Rompa
Siemens: technology to transform the everyday
Siemens is a leading technology company – focused on industry, infrastructure, transport, and healthcare – that transforms the everyday of billions of people. Combining the real and the digital worlds like no other, Siemens creates technology with purpose. Embracing technology, collaboration and uniting their actions across economies and industries to accelerate a sustainable future, for customers around the world.
About Roland Busch
With a career of over 30 years with Siemens, Dr. Roland Busch has held the position of President and CEO of Siemens AG since February 2021. With a doctorate in physics, he’s a problem solver by nature and committed to innovation.

TU Delft AI Lunch: AI Innovations in Health
2024-02-15 12:00 - 13:30 | Mondai | House of AI – Delft, Molengraaffsingel 29, Delft, 2629 JD
New year, new TU Delft AI Lunch!
On Thursday 15 February (12:00 – 13:30) join us for AI Lunch: AI Innovations in Health. This panel lunch is moderated by Helma Torkamaan, Assistant Professor in AI for Health Systems in the Systems Engineering section at the Faculty of TPM. Join the conversation on current AI innovations in healthcare being developed or researched at TU Delft. How is AI currently being used in healthcare, specifically in curative and preventive domains and other health functions? What are the challenges and breakthroughs in integrating AI technologies in health systems? Learn from the insights of AI researchers and labs at TU Delft who contribute to these breakthroughs.
This event includes free lunch for which registration is required (help us reduce food waste!)
Panellists

Moderator: Helma Torkamaan
Assistant professor AI for Health Systems (Faculty of TPM)
Helma is a computer scientist and specializes in the interdisciplinary application and development of human-centered AI. Her work focuses on designing innovative digital solutions and methods for complex health challenges in different areas, such as mental health, pain in cancer, and behavior change among others. She leverages her expertise in health recommender systems, ubiquitous computing, persuasive design, and multi-objective personalization to enhance the experiences and outcomes for both stakeholders and users.

Panellist: Derek Lomas
Assistant professor of Positive AI (Faculty of IDE)
He designs data-informed smart systems for human wellbeing, bringing humanist values into AI systems. He is a classicist, futurist, cognitive scientist and proponent of the magic of resonance in design. Lomas has produced over 40 learning and assessment games that have been played by millions of children. His design consultancy, “Playpower Labs”, provides UX design, data science and software development services.

Panellist: Caroline Figueroa
Assistant professor in Digital Health (Faculty of TPM)
Dr. Figueroa is a medical doctor by background and combined her clinical internships for medicine with PhD research on the neuroscience of depression at the University of Amsterdam. Dr. Figueroa focuses her research on developing and testing personalized digital health tools to help individuals lead healthier lives. She focuses on tailoring these tools to the needs of underserved populations, such as people from ethnic and gender minority backgrounds, low-income individuals, and those with severe mental illness. Among other projects, she studies mobile apps that use artificial intelligence to help individuals manage their mental health and increase their physical activity. She developed frameworks to conduct digital health research through a social justice and feminist intersectionality approach.

Panellist: Mikolaj Stryja
PhD on 4D reinforcement learning for cancer treatment (Faculty of AS)
As a member of the Biological Intervention Optimisation AI Lab (BIOLab), the aim of Mikolaj Stryja’s research is to develop novel machine and deep learning methods in order to overcome some of these challenges and further personalize radiotherapy treatments, particularly by using Generative Adversarial Networks (GANs) and Reinforcement Learning (RL) approaches. By focusing on both algorithmic innovation and practical implementation aspects, he believes his research will contribute to more accurate and effective radiotherapy treatments, ultimately having a positive impact on patients’ lives.

Panellist: Marcela Tuler de Oliveira
Assistant Professor in Trustworthy Data Systems (Faculty of TPM)
Dr. ir. Marcela Tuler de Oliveira stands out as a Telecommunications Engineer shaping the future of cross-organizational data sharing. Her expertise lies in leveraging Distributed Ledger Technology (DLT) for secure, traceable, and accountable data platforms, with impactful solutions spanning sectors like healthcare, aviation, and smart cities. As the task leader for the H2022 EU ExtremeXP project (2023-26), she’s driving innovations in data management and access control using DLT. Besides her research, she’s a passionate educator at TU Delft, teaching and mentoring the next wave of tech innovators.

Panellist: Sepinoud Amizi
Assistant Professor in Biomedical Data Analytics (Faculty of TPM)
Sepinoud received her PhD in 2015 from Åbo Akademi University (Finland) and she holds the title of Docentship (equivalent to Associate Professor) in Computer Science at Åbo Akademi University since 2018. She has 10+ years of professional experience in teaching and research on biomedical topics, and data analytics. Her main research interests are developing explainable AI (XAI) approaches in critical domains, e.g., medical application domain and the use of AI in identifying blind spots related to inclusion and diversity. She is also a passionate advocate for women involvement in technological fields and was the “Women in Science (WiDS) Ambassador” in Finland from 2019 to 2023. As a side research interest, she is also looking into using AI for gender equality and try to use data to make the world a better place to live for all people from all genders and backgrounds.

About the Delft AI (Lab) Lunch series
The Delft AI (Lab) Lunch is a monthly meet-up hosted by the TU Delft AI Labs & Talent community at Mondai | House of AI.
Every month, a Delft AI Talent moderates a panel to discuss challenges and developments made in their field. During these events, you can participate, learn, make connections, inspire and be inspired by and with the Delft AI Labs. We invite all interested staff and students from TU Delft to join these sessions. Please contact community manager Charlotte Boelens for more information about this series or the TU Delft AI Labs & Talent Programme.
Join this series in 2024 on: 15 February | 21 March | 18 April | 16 May | 4 June: Spring Symposium | 13 June | 11 July
Note for TU Delft PhDs
The TU Delft AI Lunch series is eligible for earning discipline related skills GSC with the ‘Form for earning GSC for TU Delft AI(-related) seminars’. Check with your local Faculty Graduate School (FGS) if your FGS offers this option for earning Discipline Related Skills GSC; and with your supervisors if they accept our seminars on your Doctoral Education (DE) list. If you already have a form, don’t forget to bring it with you.

Justice in AI Workshop: Dilemma choices in algorithms
2024-03-07 10:00 - 12:30 | Mondai | House of AI – Delft, Molengraaffsingel 29, Delft, 2629 JD
Mondai | House of AI is pleased to host the Justice in AI Workshop: Dilemma choices in algorithms, organised by the the Delft Design for Values Institute!
Based on what kind of values can you make choices in algorithms? How do you weigh the consequences of these choices? Discover how ethical and moral values, such as justice, can be integrated in AI.
Together with the Delft Digital Ethics Centre, the Delft Design for Values Institute organises this workshop with Algorithm Audit. This independent non-profit organization audits algorithms, implements technical tooling and wants to serve as a knowledge platform on the responsible use of algorithms.
Programme
The workshop will focus on an actual case that Algorithm Audit worked on. They are actively looking for the perspectives of the academic community on their work: the workshop is going to be highly interactive! After an introduction, participants will split in groups lead by moderators to work together on questions and dilemmas. The workshop will end with a summary of the discussions.
Everyone is welcome to signup! There will be no lunch, but some morning snacks. Since it is a highly interactive workshop, there is limited space. If we receive a lot of registrations, we have the possibility to select the participants in order to ensure a diverse audience.
The event will take place in person and there will be no hybrid option for joining. For more informatie about the organisers and the sign up link, click the button below!
More information & Sign up here!

Digitalzh Kick-off voor Ondernemers
2024-03-12 14:30 - 18:30
Ben jij een ondernemer die wil wel meer zou willen digitaliseren om bedrijfsvraagstukken als personeelstekorten, hoge kosten voor materialen en energie en inefficiënte productieprocessen op te kunnen lossen?
Voor die ondernemers organiseert onze partner Digitalzh op 12 maart een Kick-off event in het World Horti Center in Naaldwijk. Jij kunt hier middels praktijkvoorbeelden, interactieve workshops en deskundige begeleiding concrete handvatten ophalen om digitale oplossingen effectief in te zetten. Zie je dit wel zitten? Meld je hieronder gratis aan.
Meld je hier gratis aan𝐇𝐞𝐭 𝐩𝐫𝐨𝐠𝐫𝐚𝐦𝐦𝐚:
14.30: Inloop
15.00: Plenair programma met inspirerende ondernemers
– Adrienne Vertooren, directeur van i_lab
– Edwin Pompe, directeur van Schilte
– Koos Smoor, manager fleet performance & innovation bij Kotug
– Binnenkort maken we ook een vierde spreker bekend, werkzaam binnen de tuinbouw!
16.30: Pauze
16.45: Interactieve workshop naar keuze:
– Slim onderhoud (door Wiek Wijnands van Kensan)
– Slim automatiseren (door Mark Bruijnen van RoboHouse)
– Slim plannen (door Jeroen Soeterbroek van Harborn Digital)
17.45: Netwerkborrel
18.30: Einde programma
Details:
dinsdag 12 maart 2024
14.30-18.30 uur
World Horti Center in Naaldwijk

TU Delft AI Lunch: Inclusive AI
2024-03-21 12:00 - 13:30 | Mondai | House of AI – Delft, Molengraaffsingel 29, Delft, 2629 JD
Mondai | House of AI is happy to host the TU Delft AI Lunch!
On Thursday 21 March (12:00 – 13:30) join us for AI Lunch: Inclusive AI. This panel lunch is moderated by Olya Kudina, Assistant Professor in Ethics & Philosophy of Technology the Faculty of TPM, and Nazli Cila, Assistant Professor of Human-Agent Partnerships at the Faculty of IDE. Join the conversation on exploring how AI can be inclusive from different perspectives. This panel will delve into navigating challenges and strategies for creating more inclusive AI systems, from addressing biases to offering different perspectives and lessons. Learn from the insights of AI researchers to broaden your understanding of the intersection between AI and inclusivity!
This event includes free lunch for which registration is required (help us reduce food waste!)
Panellists

Moderator: Nazli Cila
Assistant professor Professor of Human-Agent Partnerships (Faculty of Industrial Design Engineering)
Nazli focuses on collaborations with autonomous agents, such as smart products, robots, and AI systems, and their socio-technical implications. She integrates empirical work (i.e., experimentation, future modelling, and prototyping) with philosophical, ethical, and practical issues regarding trust, responsibility, control, and intelligence. Her mission is to create foundational theory on Human-Agent Partnerships and reveal interaction patterns for meaningful, aesthetic, empowering collaborations with agents.

Moderator: Olya Kudina
Assistant professor of Ethics & Philosophy of Technology (Faculty of Technology, Policy & Management)
Olya is an interdisciplinary researcher in philosophy/ethics of technology who explores the relation between human values and technologies. Her recent focus has been on AI and democracy in the framework of the AI DeMoS Lab that she founded and co-leads. To anticipate the ethical challenges and opportunities of technologies, Olya thinks it is essential to combine different academic practices and fields.

Panellist: Cristina Zaga
Assistant Professor of Human-Centered Design (ET, DesignLab, University of Twente)
Cristina’s research aims to foster societal transitions towards justice, care, and solidarity, with a focus on health care, automation, and digitalization of work, and health-transitions technology. She develops transdisciplinary approaches, drawing from design research methodologies to tackle societal challenges through emergent embodied social learning and critical theories blending-in a justice take on post-human/more-than-human design. Cristina also leads the Social Justice and AI networks, working towards mitigating the dehumanizing effects of AI and promoting social and environmental justice.

Panellist: Odette Scharenborg
Associate Professor of Intelligent Systems (EEMCS)
Odette’s research aims to build inclusive speech technology, i.e. making speech technology available for everyone irrespective of how they speak or what language they speak. In her research she considers technical aspects as well as ethical and societal aspects. She has an interest in anything and everything speech, ranging from human to automatic speech processing. She uses different research techniques including human listening experiments, EEG, and deep neural networks. Odette is the president of the International Speech Communication Association (ISCA): The largest international society on speech science and technology.

Panellist: Cynthia Liem
Associate Professor of Intelligent Systems (EEMCS)
Cynthia’s research focuses on the broadening of perspectives: the algorithmic surfacing of undiscovered information that may stimulate the development of new interests in users, techniques to ensure measurement and construct validity in human-interpreted data-driven decision-making, and methodological considerations in conducting transdisciplinary research into responsible and trustworthy AI. Cynthia is a member of the National Young Academy and recently won the Women in AI Netherlands Diversity Leader Award, acknowledging her efforts in making AI more inclusive for underrepresented groups, both in research and through public engagement.

About the Delft AI (Lab) Lunch series
The Delft AI (Lab) Lunch is a monthly meet-up hosted by the TU Delft AI Labs & Talent community at Mondai | House of AI.
Every month, a Delft AI Talent moderates a panel to discuss challenges and developments made in their field. During these events, you can participate, learn, make connections, inspire and be inspired by and with the Delft AI Labs. We invite all interested staff and students from TU Delft to join these sessions. Please contact community manager Charlotte Boelens for more information about this series or the TU Delft AI Labs & Talent Programme.
Join this series in 2024 on: 15 February | 21 March | 18 April | 16 May | 4 June: Spring Symposium | 13 June | 11 July
Note for TU Delft PhDs
The TU Delft AI Lunch series is eligible for earning discipline related skills GSC with the ‘Form for earning GSC for TU Delft AI(-related) seminars’. Check with your local Faculty Graduate School (FGS) if your FGS offers this option for earning Discipline Related Skills GSC; and with your supervisors if they accept our seminars on your Doctoral Education (DE) list. If you already have a form, don’t forget to bring it with you.

Escaping the Echo Chamber: The Quest for the Normative News Recommender Systems and a new notion of Computer Science
2024-04-24 16:00 - 18:00 | Mondai | House of AI – Delft, Molengraaffsingel 29, Delft, 2629 JD
Mondai | House of AI is pleased to host the new edition of the Distinguished Speaker Series:
Escaping the Echo Chamber: The Quest for the Normative News Recommender Systems and a new notion of Computer Science Recommender systems and social networks are often faulted to be the cause for creating Echo Chambers – environments where people mostly encounter news that match their previous choices or those that are popular among similar users, resulting in their isolation inside familiar but insulated information silos. Echo chambers, in turn, have been attributed to be one cause for the polarization of society, which leads to the increased difficulty to promote tolerance, build consensus, and forge compromises. To escape these echo chambers, we propose to change the focus of recommender systems from optimizing prediction accuracy only to considering measures for social cohesion.
This proposition raises questions in three spheres: In the technical sphere, we need to investigate how to build “socially considerate” recommender systems. To that end, we develop a novel recommendation framework with the goal of improving information diversity using a modified random walk exploration of the user-item graph. In the social sphere, we need to investigate if the adapted recommender systems have the desired effect. To that end, we present an empirical pilot study that exposed users to various sets (some diverse) of news with surprising results. Finally, in the normative sphere, these studies raise the question what kind of diversity is desirable for the functioning of democracy.
Reflecting the consequences of these findings for our discipline, this talk highlights that computer science needs to increasingly engage with both the social and normative challenges of our work, possibly producing a new understanding of our discipline. It proposes similar consequences for other disciplines in that they increasingly need to embrace all three spheres.
Distinguished Speaker: Abraham Bernstein, Prof., PhD
is Full Professor at the Department of Informatics (Institut für Informatik) of the University of Zurich. He mainly conducts research on the Semantic Web and Knowledge Discovery. His work draws from both social science (organizational psychology/sociology) and technical foundations (computer science, artificial intelligence).
Before coming to Zurich he was an Assistant Professor at the Information Systems Department of New York University’s Stern School of Business and received a Ph.D. at MIT’s Sloan School of Management, where he worked with Prof. Thomas W. Malone at the Center for Coordination Science.

The seminar starts 16.00 sharp! Conversation and contemplation can continue over drinks and snacks after the lecture,
We hope to see you there!

Seminar Series on Meaningful Human-AI Interactions for a Digital Society - #1: Designing for Meaningful Human-AI Interactions
2024-05-08 12:00 - 13:00 | Mondai | House of AI – Delft, Molengraaffsingel 29, Delft, 2629 JD
A Seminar Series on Meaningful Human-AI Interactions for a Digital SocietyEvent #1: Designing for Meaningful Human-AI Interactions
With the increasing creation, use, and implementation of novel AI systems in every aspect of our society, we must ensure that AI complements us by providing meaningful engagement, centering systems on our human values, and implementing such systems with due consideration of society at large. In this series, we will bring together experts from diverse fields such as human-computer interaction (HCI), philosophy, design, and law with policymakers and practitioners in a mixture of single-speaker seminars, multidisciplinary panels, and expert-led workshops to define what it means to have meaningful human-AI interaction; how to design for these interactions in AI systems; and how to promote such interactions through legislation and policy making.
The kickoff event will be May 8th at noon to discuss how to design meaningful human-AI interactions for a digital society. Through presentations and discussion with panelists Dr. Mike Lensink (The Green Land), Dr. Dorian Peters (University of Cambridge), and Dr. Matthew Dennis (TU Eindhoven), we will discuss: what makes human-AI interactions meaningful? What features must be considered to ensure “meaningfulness”? How do we design for meaning in an ethically-responsible manner? The event will be moderated by Dr. Jie Yang (TU Delft).
All experts, policymakers, and practitioners with an interest in human-AI interactions are welcome to attend!
This event is supported by the National Digital Society Programme, Mondai | House of AI, the TU Delft AI Initiative, Web Information Systems (WIS), and the Digital Ethics Centre.
(de voertaal van dit event is Engels)
SpeakersMike Lensink (34) is as a researcher, facilitator, and advisor specialised in the ethics of technological innovation, data and algorithmic decision making. Mike has a background in philosophy, and has previously worked as an academic researcher at the University Medical Center Utrecht, where he wrote a dissertation on the ethics and responsible governance of stem cell banks. He currently works at The Green Land, an agency that supports public sector organisations in the Netherlands with responsible and humane use of data and algorithms.
In his work, Mike is particularly concerned with assessing the impact of algorithmic systems on the lived experience of human beings, and investigating the dynamics of the interaction between algorithmic systems, its users (staff), and citizens, in order to translate these insights into more humane technological innovations. Over the past years, he has worked together with a variety of governmental organisations, supporting them with various approaches to “putting ethics into practice”, i.e. operationalising ethics within and organisational processes, developing strategy and governance, and embedding ethical considerations in concrete technological solutions.
Dorian Peters is Associate Director at the Leverhulme Centre for the Future of Intelligence at the University of Cambridge as well as a Research Fellow at Imperial College London. A designer and design researcher, she specialises in Human-computer Interaction for learning, health, and wellbeing, and on digital ethics in practice. Her books include Positive Computing: Technology for Wellbeing and Human Potential (MIT Press), and Interface Design for Learning (Pearson).
Matthew J. Dennis is an assistant professor in ethics of technology at TU Eindhoven in the Netherlands. He is also the co-director of Eindhoven Centre for the Philosophy of Artificial Intelligence, and a Senior Researcher in the Ethics of Socially Disruptive Technologies research consortium (ESDiT). He specialises in the ethics of artificial intelligence, autonomy and well-being, and the future of work. His recent publications focus on intercultural perspectives (Buddhism & Confucianism) on how to flourish with emerging technologies. He has recently held visiting positions at the University of Oxford’s Institute for Ethics in Artificial Intelligence (2023), Erasmus Centre for Data Analytics (2023), University of Amsterdam’s Institute for Advanced Studies (2022), and University of Cambridge’s Centre for the Future of Intelligence (2020).

TU Delft AI Lunch: AI4Freight
2024-05-16 12:00 - 13:30 | Mondai | House of AI – Delft, Molengraaffsingel 29, Delft, 2629 JD
Mondai | House of AI is happy to host the next edition of the TU Delft AI Lunch: AI4Freight
The role of AI in tackling the challenges faced by the logistics sector and exploring pathways for academia-industry collaboration
The complex landscape of logistics presents businesses with various operational challenges across the supply chain. Artificial Intelligence offers tools to transform this sector by breaking down these complexities into streamlined and smart operations. Through AI, businesses gain the ability to predict, adapt, and respond dynamically and in real time, revolutionizing how logistic operations are performed today. What is the role of academia in empowering the logistics sector in the face of opportunities and challenges using AI technologies? At the intersection of AI and freight logistics, panellists will discuss various both barriers and innovation from different perspectives: from challenges faced by industry to novel AI solutions and their practical implementation.
This event includes free lunch for which registration is required (help us reduce food waste!)
Panellists

Moderator: Mahnam Saeednia
Assistant Professor of Freight and Logistics (Faculty of CEG)
Mahnam’s area of research addresses current challenges of freight transport sector, specifically in the domains of railway freight, intermodal freight transportation, automation, digitalization and energy transition. To achieve this, she utilizes techniques such as agent technology, distributed optimization, discrete events simulation, and AI. Additionally, she is keen on exploring novel and innovative methods in this domain, including bio-inspired and self-organization algorithms. Previously, she was R&D project lead at Siemens Mobility (Hacon Ingenieurgesellschaft mbH) and a postdoctoral researcher at Swiss Federal Institute of Technology (ETH Zurich) where she was a recipient of Swiss National Science Foundation (SNSF) grant.

Panellist: Cornelis Versteegt
Partner & project manager at Macomi

Cornelis Versteegt is the founder and owner of Macomi, a company that provides Decision Support Systems based on simulation, prescriptive analytics and Artificial Intelligence. He received his PhD from TU Delft on automated logistic systems under the supervision of prof.dr. H.G. Sol. He has a MSc in Systems Engineering, Policy Analysis and Management. His expertise lies in the areas of logistics and transportation.

Panellist: Neil Yorke-Smith
Associate Professor of Socio-Technical Algorithmics (Faculty of EEMCS)
Neil Yorke-Smith directs the Socio-Technical Algorithmic Research (STAR) Lab at TU Delft. His research addresses a fundamental question of the AI era: how can technology help people make decisions in complex socio-technical situations? Neil is a Senior Member of AAAI, a Senior Member of ACM, and a member of CLAIRE and ELLIS. In addition to directing the STAR Lab, Neil currently serves as manager of the Dutch Citizens and Society in the Energy Transition (CaSET) ELSA AI Lab.

About the Delft AI (Lab) Lunch series
The Delft AI (Lab) Lunch is a monthly meet-up hosted by the TU Delft AI Labs & Talent community at Mondai | House of AI.
Every month, a Delft AI Talent moderates a panel to discuss challenges and developments made in their field. During these events, you can participate, learn, make connections, inspire and be inspired by and with the Delft AI Labs. We invite all interested staff and students from TU Delft to join these sessions. Please contact community manager Charlotte Boelens for more information about this series or the TU Delft AI Labs & Talent Programme.
Join this series in 2024 on: 15 February | 21 March | 16 May | 1 July |
Join the yearly Spring Symposium on 4 June 2024. Theme: AI Education
Note for TU Delft PhDs
The TU Delft AI Lunch series is eligible for earning discipline related skills GSC with the ‘Form for earning GSC for TU Delft AI(-related) seminars’. Check with your local Faculty Graduate School (FGS) if your FGS offers this option for earning Discipline Related Skills GSC; and with your supervisors if they accept our seminars on your Doctoral Education (DE) list. If you already have a form, don’t forget to bring it with you.

Spring Symposium - AI Education
2024-06-04 09:00 - 17:00 | Mondai | House of AI – Delft, Molengraaffsingel 29, Delft, 2629 JD
Spring Symposium – AI EducationPlease reserve the 4th of June in your calendar for the Spring Symposium on AI Education!
Hosted by the TU Delft | AI Initiative at Mondai | House of AI, this event will shine a spotlight on AI education. Join us for a day filled with insights from TU Delft’s leading experts, as we delve into the fostering of AI education such innovative best-practises for teaching AI, interdisciplinary AI education, and AI skills for the future engineer.
Register now!
(De voertaal van dit event is Engels)
In the morning session, gain insights into ‘AI and the changing world for graduates’ with real-world examples on the expectations from future engineers. The afternoon session will focus on practical AI education with workshops, discussions, and actionable takeaways.
Programme
09.00 – 09.30 Walk-in and Registration
09.30 – 12.15 AI and the Changing World for Graduates
12.15 – 13.00 Lunch and Exhibitions
13.00 – 15.00 Workshops and Discussions
15.00 – 16.15 Closing and a Fun Surprise!
16.15 – 17:00 Networking Drinks

Spring Event 2023
Morning Programme: ‘AI and the changing world for graduates’ An inspiring keynote programme to highlight the growing presence of AI in various disciplines.
Notable speakers will discuss AI in their respective fields:
Open and Connected Futures: Reimagining Design Education in the Age of AI
By: Kees Kaan and Georg Vrachliotis (Faculty Architecture and Built Environment, TU Delft)
Georg Vrachliotis and Kees Kaan, leading experts in the built environment, explore the intersection of architecture and AI. Georg Vrachliotis explores the shifting landscape of knowledge discovery in the AI era, unveiling new horizons in architectural innovation. Meanwhile, Kees Kaan offers a pragmatic and business-oriented outlook on AI’s impact within architecture, providing invaluable real-world insights into this transformative technology.
Kees Kaan is a distinguished Professor of Architectural Design – Complex Projects and currently chairs the Department of Architecture at the Faculty of Architecture and the Built Environment. With a visionary approach, his research and studio work focus on ‘The PROJECT’ within the contemporary city and region, emphasizing critical thinking and narrative construction for practice. Beyond academia, Kees Kaan is renowned as the founder of KAAN Architecten, recognized for transformative projects like the Supreme Court of the Netherlands, the Royal Museum of Fine Arts in Antwerp, and the Netherlands Forensic Institute.
Georg Vrachliotis, a distinguished full professor in the Theory of Architecture and Digital Culture at TU Delft, brings a wealth of experience and insight to the intersection of AI and architecture. Vrachliotis heads the Design, Data and Society Group (DDS) at TU Delft, as well as the flagship project ‘The New Open’. From 2016, he was dean of the Karlsruher Institut für Technologie (KIT) Faculty of Architecture and Chair for Architecture Theory (2014-2020).
AI for Physicists and Physicists for AI
By: Qian Tao (Faculty of Applied Sciences, TU Delft)
Qian Tao will take us on a journey from working at the academic hospital where AI is making a huge impact on Radiology, to the corridors of TU Delft Imaging Physics where she does pioneering work on developing trustworthy AI with physics principles. Qian advocates for integrating AI into the new physics education, aiming to prepare graduates for the evolving scientific landscape and job market. AI is beyond a mysterious black box from the perspective of engineering, Qian provides her insights on the symbiotic relationship between AI and physics.
Dr. Qian Tao, with extensive expertise in biomedical engineering and pioneering AI work in radiology, brings a wealth of experience to her role. Having spent over a decade at LUMC conducting multidisciplinary research on cardiac MRI and AI-based medical image analysis, she joined TU Delft to expand her exploration of data- and knowledge-driven AI. Since 2021, Dr. Tao has led the CHEME AI Lab at TU Delft’s Department of Imaging Physics, focusing on developing trustworthy AI methodologies for critical healthcare applications, particularly in medical imaging, to enhance AI’s reliability and impact on scientific and clinical advancements.

Educating Tomorrow’s Lawyers
By: Cees Zweistra (Erasmus University Rotterdam)

Cees Zweistra explores the future of legal education shaped by developments in technology. As the legal landscape changes, education too must follow suit with innovative programs that integrate AI into law studies. Learn about how AI developments create many opportunities, while also fuelling discussions around ethical considerations. Cees Zweistra offers insight into why teaching students about AI’s technical aspects is essential for lawyers to stay relevant in today’s evolving legal landscape.
Cees Zweistra is assistant professor of ethics, law and technology at Erasmus University Rotterdam. He studied both law and philosophy at Utrecht University and obtained a PhD in the ethics and philosophy of technology from Delft University of Technology. His research is focused on understanding how technologies are co-shaping the future of the law and legal profession.
Afternoon Programme: practical AI education with workshops, discussions and actionable takeaways An enriching afternoon programme designed to equip educators with insights to foster AI education. Workshops and sessions include:

Spring Event 2023
Visualisation and AI: More than just communicating results
By: Thomas Höllt, Assistant Professor at the Faculty of Electrical Engineering, Mathematics & Computer Science
How to use data visualisation? Visualization is commonly used for communication of research results, from plots in scientific papers to illustrations in science communication. In this lecture, we will discuss the basics for creating good, legible visualizations of such results, but also go beyond just communication. We will discuss the benefits of using visualization in combination with machine learning (ML) to gain deeper insight into the data and to better understand ML methods themselves.
AI Pedagogy through a Design Lens
By: Kars Alfrink, researcher at the Faculty of Industrial Design Engineering
How can a design view shape the pedagogical approach to AI? Explore the intersection of design and AI education in this workshop. We will discuss practical insights from the five-year run of the AI & Society IDE master elective, including the unique contributions of studio-based teaching and thinking-through-making learning activities.
Exploration of AI tools for research software
By: Carlos Utrilla Guerrero & Halford Dace, Research Data & Software Team, TU Delft Library
Generative Artificial Intelligence (AI) and Large Language Models (LLMs) are reshaping research tasks. This workshop will explore the usage of generative AI in research, including code assistance, integration into research software development, and the exchange of experiences and best practices. The agenda covers essential topics: introducing LLMs, examining the impact of code assistants on research software development, and exploring responsible use and legal implications of generative AI tools like GitHub Copilot, concluding with a practical session using GitHub Copilot for software documentation.
Machine Learning Education in the different faculties: Best Practices, Tips and Sharing Materials
By: Gosia Migut, Assistant Professor at the Faculty of Electrical Engineering, Mathematics & Computer Science
Bianca Giovanardi, Assistant Professor in the Department of Aerospace Structures and Materials
How do we teach machine learning? Do you want to learn and share best practices, tips and educational resources? Then this session is for you! In this workshop we share some conclusions from Machine Learning Teachers Community meetups and we invite you to also share your best practices and tips. We are also developing a platform (OER4AI) to share machine learning education materials between TU Delft teachers. We are looking for feedback to improve this platform and make it useful for you! In conclusion: an interactive session to foster more collaborations between teachers.
Impact with your AI Education
By: Bertien Broekhans, Life Long Learning portfolio manager AI, Data & Digitalisation
Are you passionate about AI education? Have you developed or are you developing AI courses for campus education? Want to expand your impact? Consider developing your course into a Massive Online Open Course (MOOC)! By developing online course materials for the edX platform, support professionals to keep on track. Moreover these support learning flexibility for your campus students. This can ease your workload while extending the reach of your AI education. Join our workshop to learn from educators who have successfully adapted campus courses into MOOCs. Let’s brainstorm together on future course development opportunities!
(Re)defining education in the age of AI
By: Marcell Varkonyi, Open Education, TU Delft
Technological advancements, such as AI, present new challenges to education, both in terms of how these technologies may be integrated into educational processes, and in terms of the role these need to take up in curricula. While these are important considerations to make, they often eclipse another equally important question: to what end do we educate? This session revolves around the fundamental question: what is the purpose of education, and (how) do the developments around AI change the way we approach this question? We will explore this question through small groups and plenary discussions in this session.
Register now for the Spring Symposium via the form above or below!

Seminar Series on Meaningful Human-AI Interactions for a Digital Society - #2: Promoting Meaningful Human-AI Interactions: Societal and Legislative Perspectives
2024-06-05 11:30 - 13:00 | TU Delft Building 36 – Lipkenszaal (01.150), Mekelweg 4, Delft, Nederland
A Seminar Series on Meaningful Human-AI Interactions for a Digital SocietyEvent #2: Promoting Meaningful Human-AI Interactions: Societal and Legislative Perspectives
With the increasing creation, use, and implementation of novel AI systems in every aspect of our society, we must ensure that AI complements us by providing meaningful engagement, centering systems on our human values, and implementing such systems with due consideration of society at large. In this series, we will bring together experts from diverse fields such as human-computer interaction (HCI), philosophy, design, and law with policymakers and practitioners in a mixture of single-speaker seminars, multidisciplinary panels, and expert-led workshops to define what it means to have meaningful human-AI interaction; how to design for these interactions in AI systems; and how to promote such interactions through legislation and policy making.
The second event of this series will be June 5th from 11:30am – 1pm and will discuss the role of legislation in promoting meaningful human-AI interaction. Through presentations and discussion with panelists Dr. Merel Noorman (Tilburg University), Dr. Els de Busser (Leiden University), and Dr. Dayana Spagnuelo (TNO), we will discuss: how can legislation support meaningful human AI-interactions? How do we ground AI interactions in the values and needs of public stakeholders? And: How should public bodies interact with AI? The event will be hosted by Drs. Giorgia Pozzi and Sarah Carter (TU Delft).
All experts, policymakers, and practitioners with an interest in human-AI interactions are welcome to attend!
This event is supported by the National Digital Society Programme, Mondai | House of AI, the TU Delft AI Initiative, Web Information Systems (WIS), and the Digital Ethics Centre.
(de voertaal van dit event is Engels)
SpeakersMerel Noorman is assistant professor in AI, Robotics, and STS at the Tilburg Institute for Law, Technology, and Society (TILT), Tilburg University. Her research focuses on the regulation and governance of AI. She is interested in the relationships between AI and democracy in critical infrastructures, such as energy networks. She studied Artificial Intelligence and Science & Technology studies at the University of Amsterdam and Edinburgh University and received her PhD from Maastricht University. Since then, she has co-initiated and worked on various research projects in the U.S. and the Netherlands, studying the ethical and social aspects of complex and intelligent computer technologies. She has also worked as advisor for the Dutch Council for Social Development (Raad voor Maatschappelijke Ontwikkeling) and was managing director for the software company VicarVision.
Dr. Els De Busser is Assistant Professor Cyber Security Governance at the Institute of Security and Global Affairs at Leiden University. She is the Principal Investigator of the project Cyber Security by Integrated Design (C-SIDe project) funded by the Dutch Research Council.
Els teaches students and practitioners on a broad range of topics including the effects of digitalization on human rights, data protection and privacy, legal aspects of cyber security and AI and human rights. She specializes in multidisciplinary education and research in these topics as well. Els is also a researcher in the The Hague Program for International Cyber Security and a member of the Standing Committee of Experts on International Immigration, Refugee and Criminal Law (also known as the Meijers Committee).
Dr. Dayana Spagnuelo is a researcher at TNO specialised in information security and its interplay with data protection and other legal requests, as well as privacy coordinator for TNO Unit ISP. Having researched in the past how some of the data protection principles, such as Privacy, Transparency and Accountability, should be realised in technical systems, she now turns her attention to how current solutions can help to, and how future ones should be tailored to, accomplish the upcoming requests of the new digital regulatory framework.

Book Launch: 'Human Freedom in the Age of AI' by Filippo Santoni de Sio
2024-06-11 14:00 - 16:00 | Mondai | House of AI – Delft, Molengraaffsingel 29, Delft, 2629 JD
Mondai | House of AI is pleased to host the book launch of ‘Human Freedom in the Age of AI‘ by Filippo Santoni de Sio
The book Human Freedom in the Age of AI explains how artificial intelligence (AI) may affect our freedom at work, in our daily life, and in the political sphere. The author Filippo Santoni de Sio, associate professor of ethics of technology at TU Delft and a leading expert in the field of AI ethics, provides a philosophical framework to help make sense of and govern the ethical and political impact of AI in these domains. AI offers employers new forms of control of the workforce, opening the door to new forms of domination and exploitation; it may reduce our capacity to remain in control of and responsible for our decisions and actions, thereby affecting our free will and moral responsibility; and it may increase the power of governments and tech companies to steer the political life, thereby affecting the possibility of a free and inclusive political participation.
It is still possible to promote human freedom in our interactions with AI, but this requires designing AI systems that help promote workers’ freedom, strengthen human control and responsibility, and foster a free, active, and inclusive democratic participation. From ‘freedom as non-domination’ to ‘meaningful human control’ and value-sensitive- and critical design, the book critically discusses and connects a broad variety of topics in ethics, political philosophy and design studies, paving the way for an original, comprehensive and multidisciplinary approach to AI Ethics, centred on the concept of social and political freedom.
In this event the author Filippo Santoni will presents the book and engage in an in-person conversation with two Dutch-based experts in the ethics and politics of AI:
Author: Filippo Santoni De Sio
Associate Professor in Ethics of Technology at the Faculty of Technology, Policy, and Managment
Filippo Santoni De Sio is an Academic philosopher and professor specialized in interdisciplinary work in ethics of technology, with a special interest in the ethics of AI. His drive to pave new paths in the field led him to write Human Freedom in the Age of AI, published in March 2024.
His research is focused on the questions as to how emerging technologies – especially AI systems – can affect our concepts and practices of freedom, moral and legal responsibility, and democracy; and how a philosophical understanding of the philosophical concepts and practices can in turn help understand and inform the design and development of emerging technologies.
Discussant: Cristina Zaga
Assistant professor of the Human-Centred Design group and DesignLab at the University of Twente
Cristina’s research aims to foster societal transitions towards justice, care, and solidarity, with a focus on care and the future of work with AI and robots. She develops transdisciplinary approaches, blending-in design justice, speculation and more-than-human design. Cristina also leads the Social Justice and AI network, working towards mitigating the dehumanizing effects of AI and promoting social and environmental justice. Her award-winning work has received many accolades nationally and internationally, including the NWO Science Price for DEI initiatives (2022), the Dutch High Education Award (2022), and the Google Women Techmaker Award and scholarship (2018).
Discussant: Uğur Aytaç
Assistant Professor, Department of Philosophy and Religious Studies at Utrecht University
Ugur’s research investigates how varying conceptualizations of power and domination should shape our normative judgments about the legitimacy of socio-political arrangements, including digital platforms, economic institutions, and states. Fundamental questions such as ‘what is political power?’, ‘how can we assess its legitimacy in different institutional domains? and ‘how should we address any legitimacy deficits arising from unaccountable powers?’ have driven his research from his PhD in Amsterdam to the projects he undertakes as an Assistant Professor in Utrecht.
He also takes academic citizenship seriously, aiming to help cultivate a community among philosophers in the Netherlands. He is co-coordinator of the political philosophy study group at the Dutch Research School of Philosophy. In this capacity, he co-organizes regular workshops where participants receive feedback on their research.

Delft FinTech Summit: Pioneering Finance by Collaboration and Learning
2024-06-26 12:00 - 18:00 | Mondai | House of AI – Delft, Molengraaffsingel 29, Delft, 2629 JD
The Delft FinTech Lab is pleased to host the second Delft FinTech summit, together with Mondai | House of AI!
Delft FinTech Summit: Pioneering Finance by Collaboration and Learning Join us for an extraordinary day dedicated to the confluence of finance and technology at the Delft FinTech Summit. Discover how finance shapes society and expedite the adoption of FinTech innovations.
Technology adoption is accelerating the financial industry at an unprecedented rate, transforming both FinTech companies and conventional financial institutions. Following the resoundingly successful launch last year, the Delft FinTech Lab invites you to join us at Delft University of Technology for an unparalleled opportunity to engage with peers across various financial sectors and explore the future of finance driven by technological impetus.
Discover how finance shapes society through diverse topics such as Sustainable investing strategies for a better tomorrow, predicting household financial distress, revolutionizing finance with AI, and building a resilient financial system, digital Euro among many others from speakers from Robeco, ING, PerfectXL, Delft University of Technology, Erasmus University Rotterdam and many others.
Sign up now to secure one of the limited spots and discover your technological edge in finance.
Programme
12.00 – 13.00 Walk-in and Lunch
13.00 – 13.20 Welcome and Strategy Delft FinTech lab by Arie van Deursen & Venkatesh Chandrasekar
13.20 – 13.40 European FinTech: Past progress and future prospects Joachim Schwerin, European Commission
13.40 – 14.00 Using ML for a Resilient Financial System by Preventing Money Laundering by Kubilay Atasu, TU Delft
14.00 – 14.15 Convergence of Payment Infrastructure and Financial markets by Leonard Franken, AFM
14.15 – 14.30 Break
14.30 – 14.45 Incident Management in a Software-Defined Business by Eileen Kapel, ING
14.45 – 15.25 Startup presentations – Opportunities for AI in Finance with PerfectXL, PocketCFO, and Djeeni
15.25 – 15.40 Break
15.40 – 16.00 FinTech and RegTech: A software engineering perspective by Domenico Bianculli, University of Luxembourg
16.00 – 16.20 How Collaborative Ecosystems Accelerate Innovation by Liakos Papapoulos, LP Trading and Innovation Advisory Services
16.20 – 16.40 Anatomy of Household Financial Distress with TU Delft and Erasmus University of Rotterdam
16.40 – 16.45 Closing
16.45 Drinks!

TU Delft AI Lunch - The unprecedented environmental impacts of AI: a transdisciplinary discussion
2024-07-02 12:00 - 14:00 | Mondai | House of AI – Delft, Molengraaffsingel 29, Delft, 2629 JD
Mondai | House of AI is happy to host the next edition of the TU Delft AI Lunch:
The unprecedented environmental impacts of AI: a transdisciplinary discussion

While AI is frequently touted as a panacea for numerous global issues, including tackling chronic diseases, economic revitalization, and addressing societal needs such as national security challenges and the Climate Crisis, this narrative frequently overlooks the significant environmental impacts stemming from the increasing demand for AI tools. These costs include unparalleled demand of rare metals, massive energy expenditure and an unprecedented impact on land use, water consumption and energy systems. For instance, Microsoft’s most recent environmental report for 2022 after the launch of Open AI generative AI services reveals a significant 34% increase in its worldwide water consumption from 2021 to 2022, reaching nearly 1.7 billion gallons. Given recent accelerations in investment of new data centers, these dramatic numbers are expected to continue impacting ecosystems around the globe. During this panel, we aim to open up a discussion to bring the environmental implications of AI into integral and actionable view. We will discuss how the growing dependence of AI functionalities and their underlying computational infrastructures contributes to environmental impacts, and what is needed in science, engineering, policy making and (global) politics to acknowledge and address the steep costs associated with these impacts. We focus on how to bring together different disciplines and stakeholders across engineering, computer science, political economy and other fields to build an integral understanding of the problem and what challenges as well as actionable strategies we should pursue to curb the environmental impacts of AI.
This event includes free lunch for which registration is required (help us reduce food waste!)
Panellists

Benedetta Brevini
Visiting Professor at the Institute for Public Knowledge, New York University.
Benedetta’s research is grounded in a critical political economy that investigates the social,political, economic and environmental implications of data-driven communication systems and in particular the relationship between Data Capitalism, AI and the Climate Crisis. Before joining the academy, she worked as journalist in Milan, New York and London for CNBC, RAI and the Guardian. She is the author of several books including Is AI good for the Planet(2022), Amazon: Understanding a Global Communication Giant(2020), Public Service Broadcasting online (2013) and the editor of Beyond Wikileaks(2013), Carbon Capitalism and Communication: Confronting Climate Crisis(2017), Climate Change and the Media(2018). She is currently working on a new volume for Polity entitled “Communication systems, Technology and the climate emergency”.

Olya Kudina
Assistant Professor of Ethics & Philosophy of Technology (Faculty of TPM)
Olya is an interdisciplinary researcher in philosophy/ethics of technology who explores the relation between human values and technologies. Her recent focus has been on AI and democracy in the framework of the AI DeMoS Lab that she founded and co-leads. To anticipate the ethical challenges and opportunities of technologies, Olya thinks it is essential to combine different academic practices and fields.

June Sallou
Postdoc researcher on green software & green AI (Faculty of EEMCS)
June’s research focuses on software engineering and sustainability, and more specifically how Approximate Computing can be applied to develop more sustainable (software) systems and green AI. “The energy and computational costs of traditional AI practices are not only high in financial terms, but they also have major impacts on our planet’s resources. The use of ICT is constantly increasing, with estimates that its energy consumption could reach as much as 21% of the global total by 2030. And climate change is something I am personally very concerned about, especially since it is largely caused by human activities. As a software engineer, I feel a strong responsibility to contribute to the solution, and not contribute to the problem.”

Moderator: Roel Dobbe
Assistant professor in Data-driven/Algorithmic Systems and Safety, Justice and Sustainability (Faculty of TPM)
Roel got to know Silicon Valley while living in the San Francisco Bay Area and doing his PhD on AI and control engineering at the Berkeley AI Research (BAIR) Lab. He works on an integrative systems theory and design approach for artificial intelligence and algorithms, which will allow for more accurate work on well-functioning systems, as well as a better understanding of risks. He is also co-founder of the AI Now Institute in New York where, among other things, he researches the relationship between AI and climate change

About the Delft AI (Lab) Lunch series
The Delft AI (Lab) Lunch is a monthly meet-up hosted by the TU Delft AI Labs & Talent community at Mondai | House of AI.
Every month, a Delft AI Talent moderates a panel to discuss challenges and developments made in their field. During these events, you can participate, learn, make connections, inspire and be inspired by and with the Delft AI Labs. We invite all interested staff and students from TU Delft to join these sessions. Please contact community manager Charlotte Boelens for more information about this series or the TU Delft AI Labs & Talent Programme.
Join this series in 2024 on: 15 February | 21 March | 16 May | 2 July |
Join the yearly Spring Symposium on 4 June 2024. Theme: AI Education
Note for TU Delft PhDs
The TU Delft AI Lunch series is eligible for earning discipline related skills GSC with the ‘Form for earning GSC for TU Delft AI(-related) seminars’. Check with your local Faculty Graduate School (FGS) if your FGS offers this option for earning Discipline Related Skills GSC; and with your supervisors if they accept our seminars on your Doctoral Education (DE) list. If you already have a form, don’t forget to bring it with you.

Meet the Brightest Minds in AI in Engineering from Top Universities in Europe
2024-08-28 14:00 - 17:30 | Mondai | House of AI – Delft, Molengraaffsingel 29, Delft, 2629 JD
Meet the brightest minds in AI in Engineering from top universities in Europe!

Learn about the latest research in Artificial Intelligence for Engineering
Get inspired by key corporate players on the promises, opportunities and challenges of Artificial Intelligence for Engineering
Meet talent through inspiring pitches, engaging poster sessions & network drinks

This event is organised by Mondai, the ’House of AI’ on the Campus of Delft University of Technology (TU Delft), together with our partner FME, AI Hub South Holland and NLAIC, as part of the IDEA League Summer School’s “Artificial Intelligence for Engineering Applications” led by professor Andrea Coraddu.
The event brings together some of the brightest minds in Europe from IDEA league universities. It is a great opportunity to learn about the latest developments in Artificial Intelligence for Engineering Applications, meet upcoming European AI Talent, and hear from start-ups and corporates about their views and cutting edge applications in Artificial Intelligence for Engineering.
Programme
13.45 – 14.15 Walk-in
14.15 – 15.35 Introduction and talk by prof. Andrea Coraddu (TU Delft), talk by prof. Luca Oneto (Univerista di Genova), Giacomo Lastrucci (TU Delft) and PhD Pitches
15.35 – 16.30 Industry Presentations by Matthieu Worm (Siemens), Jurgen Bastiaansen (Festo), and PercivAI
16.30 Drinks and poster session!
And, our already exciting programme had got even more interesting! With an extra pitch by PercivAI, a startup with expertise in autonomous systems, and a talk by TU Delft talent Giacomo Lastrucci, who will tell us more about AI for chemical process engineering.
Speakers
Luca Oneto, Associate Professor in Computer Engineering at Università di Genova
Trustworthy AI for Industrial Applications
The integration of Artificial Intelligence (AI) in industrial applications promises enhanced efficiency, precision, and innovation. However, ensuring the trustworthiness of AI systems is paramount to their successful adoption and long-term viability. This seminar will explore the critical dimensions of trustworthy AI, emphasizing fairness to prevent biases that could compromise ethical standards and operational integrity. Privacy will be examined to safeguard sensitive industrial data against breaches and misuse. Robustness will be highlighted to ensure AI systems maintain performance under diverse conditions. The importance of explainability will be discussed to facilitate transparency and accountability in AI-driven decisions. Additionally, the seminar will delve into the concept of physics-informed AI, which integrates physical laws into AI models to improve accuracy and reliability. Finally, the implications of the AI Act on industrial applications will be reviewed, outlining regulatory frameworks designed to foster safe and ethical AI deployment. Participants will gain a comprehensive understanding of how these elements collectively contribute to the development and implementation of trustworthy AI in industry.
Luca Oneto, born in 1986 in Rapallo, Italy, completed his BSc and MSc in Electronic Engineering at the University of Genoa in 2008 and 2010, respectively. In 2014, he earned his PhD in Computer Engineering from the same institution. From 2014 to 2016, he worked as a Postdoc in Computer Engineering at the University of Genoa, where he then served as an Assistant Professor from 2016 to 2019. Luca co-founded the company ZenaByte s.r.l. in 2018. In 2019, he became an Associate Professor in Computer Science at the University of Pisa, and from 2019 to 2024, he held the position of Associate Professor in Computer Engineering at the University of Genoa. Currently, he is an Associate Professor in Computer Engineering at the University of Genoa. He has been coordinator and local responsible in numerous industrial, H2020, and Horizon Europe projects. He has received prestigious recognitions, including the Amazon AWS Machine Learning Award and the Somalvico Award for the best young AI researcher in Italy. His primary research interests lie in Statistical Learning Theory and Trustworthy AI. Additionally, he focuses on data science, utilizing and improving cutting-edge machine learning and AI algorithms to tackle real-world problems.
Matthieu Worm, Distinguished key expert for Simulation & Digital twin at Siemens
Advancing Industrial AI: Siemens’ Innovations in Engineering Solutions
Industrial AI refers to the application of AI in an industrial context designed to meet the rigorous requirements and standards of the most demanding industrial environments. With the ability to handle big data from machines and to detect complex patterns, Industrial AI is helping to supercharge digital and sustainability transformation with speed and scale.
In his presentation Matthieu Worm will elaborate on how Siemens is using AI to improve efficiency in engineering tools. This has a wide scope, ranging for support through industrial copilots and LLM through optimization of products or complete processes to fully autonomous systems. Siemens will have a demonstration of Siemens Industrial CoPilot present during the event.
Matthieu is a TU Delft alumni, graduating in Industrial Design in 2022. He is now part of Siemens Corporate Core Technology team focusing on Simulation & Digital Twins.
Jurgen Bastiaansen, Manager Innovation Unit at Festo
AI in Engineering at Festo
Festo has developed the artificial intelligence tool Festo Automation Experience – Festo AX for short – which allows engineers to extract high added value from the data produced by their systems using machine learning algorithms. It is designed to address three key areas: preventive maintenance, energy and quality optimization, enabling customers to increase productivity and reduce costs.
Besides the fact that in industry AI is now mainly used to monitor industry processes and explore technical (im)possibilities, we also give a glimpse into the future, where AI – in combination with high-end technology (including from Festo) – will be used to grow algae in a controlled way. Our earth’s natural resources are becoming increasingly scarce, imagine what can be achieved with these and future technologies to be developed.
Jurgen has a background in the automation industry for over 20 years. Since 7 years he is responsible for the Innovation Unit within the North West Europe cluster at Festo.
Andrea Coraddu, Associate Professor Department of Maritime and Transport Technology, TU Delft
From Predictive to Prescriptive Analytics: Challenges and Advances for Sustainable Shipping Energy Systems
Prescriptive Analytics describes automating a decision-making process starting from data without human intervention, which requires knowledge coming from multiple aspects of Artificial Intelligence informed by a multitude of data sources. For maritime applications, these requirements are not always available, and Prescriptive Analytics has limited applications as the sector still needs final decisions undertaken by human operators. Additionally, constraints and operators’ preferences need to exploit data describing the specific context in the form of ontologies and leveraging data and information not structured to achieve practical results. In this talk, the path towards Prescriptive Analytics is discussed in the context of challenges and advances for sustainable shipping energy systems.
Andrea Coraddu (Member, IEEE) was born in Pietrasanta, Italy, in 1979. He received the Laurea degree in naval architecture and marine engineering from the University of Genoa, Italy, in 2006, and the Ph.D. degree from the School of Fluid and Solid Mechanics, University of Genoa, in 2012. His Ph.D. dissertation was titled, “Modeling and Control of Naval Electric Propulsion Plants.” He was an Associate Professor with the Department of Naval Architecture, Ocean and Marine Engineering, University of Strathclyde, from October 2020 to August 2021. Currently, he is an Associate Professor of intelligent and sustainable energy systems with the Maritime and Transport Technology Department, Delft University of Technology, Delft, The Netherlands. His relevant professional and academic experiences, include working as an Assistant Professor with the University of Strathclyde, a Research Associate with the School of Marine Science and Technology, Newcastle University, and as a Research Engineer as part of the DAMEN Research and Development Department, Singapore. He is also a Postdoctoral Research Fellow with the University of Genoa. He has been involved in a number of successful grant applications from research councils, industry, and international governmental agencies focusing on the design, integration, and control of complex marine energy and power management systems enabling the development of next-generation complex and multi-function vessels that can meet the pertinent social challenges regarding the environmental impact of human-related activities.
About the IDEA League
The IDEA League, a strategic alliance between five leading European universities of science and technology, believes that we have the power to shape the future. By joining forces, we will create valuable connections that inspire innovation and the pursuit of ambitious goals.
Through cross-border, bottom-up collaboration, we provide the environment for students, researchers and staff at our partner universities to share a collective wealth of knowledge, experience and resources. By doing so, we aim to connect and inspire a new generation of European science and technology graduates, champion innovation and entrepreneurship and steer Europe towards a more competitive and compassionate future.

Seminar Series on Meaningful Human-AI Interactions for a Digital Society - #3: Defining “Meaningful” Human-AI Interactions for a Digital Society
2024-09-03 12:00 - 13:30 | Online
A Seminar Series on Meaningful Human-AI Interactions for a Digital SocietyInterested in how to design AI to be meaningful, transparent, and ethical? Then join us for the continuation of our Meaningful-Human AI Interaction event series! Building off our previous events, we will explore how to define meaningful human-AI interactions and deploy AI responsibly with a group of interdisciplinary experts.
Event #3: Promoting Meaningful Human-AI Interactions: Societal and Legislative Perspectives
Explore how to define and promote meaningful human-AI interactions with Marc Steen (TNO). Marc will present an “Extend Error Matrix” that understands AI in its societal context and can help us define meaning and promote interdisciplinary collaboration towards responsible AI. The session will be moderated by Stefan Buijsman (TU Delft) and Birna van Riemsdijk (University of Twente).
SpeakerMarc Steen, Senior Research Scientist at TNO: Responsible Innovation
Talk: We need better images of AI and better conversations about AI
This presentation concerns a critique of the ways in which the people involved in the development and application of AI systems (and indeed: journalists and the general public) often visualize and talk about AI systems. Often, they visualize such systems as shiny humanoid robots or as free-floating electronic brains. Such images convey misleading messages; as if AI works independently of people and can reason in ways superior to people. Instead, we propose to visualize AI systems as parts of larger, sociotechnical systems. Here, we can learn, for example, from cybernetics. Similarly, we propose that the people involved in the design and deployment of an algorithm would need to extend their conversations beyond the four boxes of the Error Matrix, for example, to critically discuss false positives and false negatives. We present two thought experiments, with one practical example in each. We propose to understand, visualize, and talk about AI systems in relation to a larger, complex reality. We also propose to enable people from diverse disciplines to collaborate around boundary objects, for example: a drawing of an AI system in its sociotechnical context; or an ‘extended’ Error Matrix. Such interventions can promote meaningful human control, transparency, and fairness in the design and deployment of AI systems.

Legal Design Futures: Co-creating the New Center for Law, Design & AI
2024-09-19 10:30 - 16:00 | Mondai | House of AI – Delft, Molengraaffsingel 29, Delft, 2629 JD
Mondai | House of AI is pleased to host the kick-off of the new Convergence Center for Law, Design & AI!The Convergence Center for Law, Design & Artificial Intelligence is an initiative by Erasmus School of Law and TU Delft. Our mission is to explore areas where design methods and technology can be used to develop innovations in legal systems and processes.
We aim to do this by bringing subject matter experts from across disciplines to create ideas, strategies and solutions through collaborative, human-centered and participatory way.
By examining how AI can be harnessed to democratise legal expertise, practices, and discourse, our goal is to provide valuable insights into effective AI applications within legal design. Our center seeks to serve as a hub for thought leadership, research, and co-creation, where the future of law, design, and AI is shaped with a shared commitment to positive societal impact.
Speakers: Sascha van Schendel, Matthijs van Dijk and Arnoud Engelfriet

Programme: ‘Law, Design & AI’ This center represents a collaborative effort between TU Delft and Erasmus University. We promise a day filled with insights & discussions on the intersection of law, design and artificial intelligence.
10:00 Walk in
10:30 Opening and Introduction
11:00 Perspectives of the Center
12:30 Lunch
13:30 Defining the Priorities of the Center
Practical sessions on:
Building Networks
Developing Research Methods
Learning from Cases/Practice
15:30 Discussion and Closing
16:00 Drinks

Symposium and Opening Centre for Meaningful Human Control
2024-10-01 09:00 - 18:00 | Mondai | House of AI – Delft, Molengraaffsingel 29, Delft, 2629 JD
Mondai | House of AI is glad to host the Symposium and Opening of the new Centre for Meaningful Human Control of the TU Delft!Hosted in collaboration with the Centre for Meaningful Human Control and the TU Delft AI Initiative.
As AI algorithms rapidly revolutionize various sectors – from healthcare through public services to transportation – they also raise concerns over their potential to spiral beyond human control and responsibility. In 2018, TU Delft launched the AiTech initiative to address the transdisciplinary challenges related to designing systems under Meaningful Human Control. Concurrently, the project “Meaningful Human Control over Automated Driving Systems” (2017-2021) further developed and operationalised this concept in the context of driving automation. These and other initiatives have produced impactful research, fostered community building – both national and international, and influenced key policy documents by Dutch and EU authorities.
In this event we invite you to celebrate with us two recent milestones from our MHC community! The release of the first Research Handbook on Meaningful Human Control and the launch of the Centre for Meaningful Human Control.
Register here!This event is a unique opportunity to engage with leading academics and practitioners in the field! Exchange perspectives – philosophical, legal, and technical – on the challenges and approaches towards keeping meaningful human control over technology.
Programme
08.30 – 09.00 Walk-in and Registration
09.00 – 10.15 Welcome by David Abbink (Scientific Director CMHC) and Luciano Cavalcante Siebert (Co-Director CMHC), interactive session by Nazli Cila and Deborah Forster (Research Team CMHC), keynote by Carles Sierra (Artificial Intelligence Research Institute, Spanish National Research Council)
10.15 – 10.40 Break and Handbook Gallery
10.40 – 12.30 Keynotes by Johannes Himmelreich (Syracuse University), and Tanya Krupiy (Newcastle University), and a Panel Discussion with Authors of the Handbook
12.30 – 13.30 Lunch
13.30 – 14.50 Welcome by Arkady Zgonnikov (Co-Director CMHC). Keynotes by David Abbink (Scientific Director CMHC) and Kim van Sparrentak (European Parliament)
14.25 – 14.50 Break
14.50 – 16.40 Keynotes by Barbara Holder (Embry-Riddle Aeronautical University) and Ilse Harms (Dutch Vehicle Authority), and an interactive session on bringing MHC research to practice
16.40 – 17.00 Official Launch of the Centre for Meaningful Human Control
17.00 Celebratory Drinks!
Morning Programme: Academic Challenges of Meaningful Human Control Exciting keynotes provide an integrated overview from various academic perspectives – ethical, legal, design and engineering. And, an interactive session with the authors and editors provides a change to deep-dive into the Handbook on Meaningful Human Control.
On the Engineering of Social Values - Carles Sierra (Artificial Intelligence Research Institute)
On the Engineering of Social Values
By: Carles Sierra (Artificial Intelligence Research Institute)
Ethics in Artificial Intelligence is a wide-ranging field encompassing many open questions regarding the moral, legal and technical issues of using and designing ethically-compliant autonomous agents. Under this umbrella, the computational ethics area is concerned with formulating and codifying ethical principles into software components. In this talk, I will look at a particular problem in computational ethics: engineering moral values into autonomous agents. I will focus on the essential role of human communities in defining social values and their associated norm-based social contracts.

Carles Sierra is the Director of the Artificial Intelligence Research Institute (IIIA) of the Spanish National Research Council (CSIC) located in Barcelona. He is the President of EurAI, the European Association of Artificial Intelligence. He has been contributing to Artificial Intelligence research since 1985 in the areas of Knowledge Representation, Auctions, Electronic Institutions, Autonomous Agents, Multiagent Systems and Agreement Technologies. He is a Fellow of the European Association of AI, EurAI, and recipient of the ACM/SIGAI Autonomous Agents Research Award 2019.
For Knowledge and Commitment — Or: What’s the Point of Meaningful Human Control? - Johannes Himmelreich (Syracuse University)
For Knowledge and Commitment — Or: What’s the Point of Meaningful Human Control?
By: Johannes Himmelreich (Syracuse University)
Johannes suggests that Meaningful Human Control (MHC) may be missing the point. Theories of MHC typically concentrate on intention, intervention, and action; and the theories seek to warrant moral responsibility and avoid harms. That, he takes it, is the point of MHC. But this typical focus on intention, action, and intervention misses this point, or so he argues. To ensure responsibility, knowledge matters more than intention or intervention. And to avoid certain outcomes, a commitment to refrain from acting may matter more than maintaining human control. In fact, with partially superhuman Artificial Intelligence we need both. We need to *know* when AI outperforms humans to then *commit* to defer to AI. This often avoids harmful outcomes without undermining moral responsibility.
Johannes Himmelreich is a philosopher who teaches and works in a policy school. He is an Assistant Professor in Public Administration and International Affairs in the Maxwell School at Syracuse University. He works in the areas of political philosophy, applied ethics, and philosophy of science. Currently, he researches the ethical quandaries that data scientists face, how the government should use AI, and how to check for algorithmic fairness under uncertainty. He published papers on “Responsibility for Killer Robots,” the trolley problem and the ethics of self-driving cars, as well as on the role of embodiment in virtual reality. He holds a PhD in Philosophy from the London School of Economics (LSE). Prior to joining Syracuse, he was a post-doctoral fellow at Humboldt University in Berlin and at the McCoy Family Center for Ethics in Society at Stanford University. During his time in Silicon Valley, he consulted on tech ethics for Fortune 500 companies, and taught ethics at Apple.
Governance of the Human-AI Coupling - Tanya Krupiy (Newcastle University)

Governance of the Human-AI Coupling
By: Tanya Krupiy (Newcastle University)
Juliane Beck and Thomas Burri discuss the fact that the debate over what constitutes meaningful human control over artificial intelligence systems has been largely confined to the context of military applications of artificial intelligence. Scholars, such as Jonathan Kwik and Frank Flemisch et al, have proposed various definitions for the term meaningful human control in the context of the use of artificial intelligence systems. Article 14 of the Artificial Intelligence Act 2024 gives effect to the aspiration to have human oversight over the operation of high-risk artificial intelligence systems. This presentation will examine what duties the Netherlands has under the Convention on the Elimination of All Forms of Discrimination against Women (CEDAW) in regard to governing human-artificial intelligence coupling in the context of the organisations employing artificial intelligence as part of the decision-making process. It will conclude that the Netherlands needs to enact legislation in order to comply with its international human rights law obligations under CEDAW. This stems from the fact that there is a tension between obligations flowing from the CEDAW and the Artificial Intelligence Act 2024.

Tanya Krupiy is a lecturer in digital law, policy and society at Newcastle University. She has expertise in international human rights law, international humanitarian law and international criminal law. Tanya holds a Master of Laws with distinction in public international law from the London School of Economics and Political Science. She gained a Doctor of Philosophy in law from the University of Essex. She received funding from the Social Sciences and Humanities Research Council of Canada to carry out a postdoctoral fellowship at McGill University in Canada. Thereafter, she was a postdoctoral fellow at Tilburg University. Tanya’s research appears in Oxford University Press, University of Melbourne and Brill publications among others.

Afternoon Programme: Pragmatic Challenges of Meaningful Human Control In the afternoon we focus on the practical challenges of meaningful human control. Via talks and interactive sessions around real-world challenges from international experts we take a closer look at sectors like the aviation and automotive industry, and Dutch and European policy making. We also take the time to explore how you might interact with its network and expertise.
At the end of the day we also officially launch and celebrate our Centre on Meaningful Human Control!
Tech Regulation: the way towards Ethical AI - Kim van Sparrentak (European Parliament)

Tech Regulation: the way towards Ethical AI
By: Kim van Sparrentak (European Parliament)

Kim van Sparrentak is a Dutch politician who has been serving as a Member of the European Parliament for the GroenLinks political party since 2019. She co-wrote legislation that limited the influence of major tech companies and that granted municipalities greater discretion in regulating which properties can be rented out for short-term homestays through platforms such as Airbnb. Van Sparrentak was re-elected in June 2024 as the fourth candidate on the shared GroenLinks–PvdA list, which received a plurality in the Netherlands of eight seats.

Who’s flying this thing?! Considerations for a shared Human-Automation Future - Barbara Holder (Embry-Riddle Aeronautical University)
Who’s flying this thing?! Considerations for a shared Human-Automation Future
By: Barbara Holder (Embry-Riddle Aeronautical University)

Barbara Holder is Associate Professor and Presidential Fellow in the College of Aviation at Embry-Riddle Aeronautical University (ERAU). Before joining ERAU in November 2021, Holder had worked since 2015 as a fellow in Advanced Technology at Honeywell Aerospace, where she studied human-machine issues across a wide range of aircraft. Earlier, she spent 15 years with The Boeing Company. There, she was an associate technical fellow and lead scientist of the Flight Deck Concept Center. Holder was a post-doctoral research fellow at NASA Ames Research Center where she investigated how pilots come to understand the auto-flight system of the Airbus A320 while flying the line.
Holder is chair of the Human Factors Subcommittee to the U.S. Federal Aviation Administration’s (FAA) Research, Engineering and Development Advisory Committee. She is also a member of the FAA’s Air Carrier Training Aviation Rulemaking Committee’s Flight Path Management Working Group. She is a fellow of the Royal Aeronautical Society. She has nine patents and multiple scholarly publications.
The Practical Challenges of Interacting with Automated Cars - Ilse Harms (Dutch Vehicle Authority))
The Practical Challenges of Interacting with Automated Cars
By: Ilse Harms (Dutch Verhicle Authority)
Driving a car is a complex and dynamic task. It entails the execution of tasks varying from motor-executive tasks, such as keeping the car within its lane, to more cognitive tasks such as understanding the driving environment to decide whether it is safe to overtake, till keeping track off which exit to take. These days, in-vehicle systems are increasingly assisting with, or taking over, part of the driving tasks. Even up to the point that humans feel that the car is actually driving itself. Under specific conditions, some cars actually can take over full control over the driving task. This interplay between the human driver and the machine driver has design implications for the vehicle, which need to be assessed in vehicle type approval. Considering her work at the Dutch Vehicle Authority, Ilse will share with you some of the practical challenges related to human control in the context of assisted and automated driving

“Human Factors is an integral part of mobility.” This combination is also the recurring theme in Ilse Harms’s career. Ilse is a traffic psychologist who enjoys working at the intersection of theory and practice. She conducted her PhD research at the University of Groningen while working for the Dutch government.
Currently she works at RDW – the Dutch Vehicle Authority – where she is a leading figure in the field of human factors and vehicle automation. Furthermore, Ilse has successfully worked to get the topic of human factors in Euro NCAP’s Vision 2030. At Euro NCAP she is both the alternate director for the Netherlands and the Chair for the HMI & Human Factors Working Group.
A Moment of Celebration! We are very excited to celebrate the official launch of the Centre for Meaningful Human Control over systems with autonomous capabilities with you. The mission of the Centre is to connect academics and practitioners to better conceptualise, design, implement, and assess systems under meaningful human control. We strive to be a lighthouse for collaboration among multiple stakeholders: to leverage interdisciplinary expertise, existing initiatives at TU Delft, and an international network of collaborators at the forefront of research and practice on meaningful human control.
Register here!

Climate & AI Workshop Event
2024-10-03 14:30 - 17:00 | Mondai | House of AI – Delft, Molengraaffsingel 29, Delft, 2629 JD
On October 3rd 14:30 – 17:00 at Mondai | House of AI, TU Delft will have a first joint event between the Climate Action Programme and the AI Initiative. The event will bring together local researchers working on AI and climate related domains to explore relevant overlaps and related opportunities. Purpose is to (further) delve into generating and shaping innovative ideas together. The programme includes introductions from the Pro Vice Rectors Herman Russchenberg (Climate) and Geert-Jan Houben (AI), short pitches from researchers, breakout groups on 3 themes and will be concluded with a borrel..
The following thematic crossroads will be further defined during this Climate & AI event and relevant opportunities explored:

AI & Water and Infrastructure
AI & Weather and Climate Risks
(Green) AI & Sustainability

These previously announced themes will be on the programme of a secondary Climate & AI event (date to be announced):

AI & Finance and Governance
AI & City Development and Urban Mobility

Programme
14:30 – 14:45 Walk in and drinks
14:45 – 15:30 Opening with introduction by Geert-Jan Houben & Herman Russchenberg
15:30 – 16:30 Breakout per theme
16:30 – 17:00 Plenary closing with call to action
17:00 – 18:00 Borrel & (interthematic) networking
This event is aimed (early/earlier career) faculty staff of all TU Delft faculties. Are you a phd or postdoc and interested in these themes? Or are you an interested faculty staff member who can’t join the event on October 3rd but do you want to stay updated about follow up? Get in touch with the organisation team via Charlotte Boelens.
AI and Climate / Climate and AI at TU Delft
In March 2024, the Climate Action Programme (CAP) dedicated their monthly lecture to ‘AI and Climate’ with a talk on “Machine-learning for understanding atmospheric physics” by Geet George (CEG) and Jing Sun (EEMCS) – recording and presentations available here. The CAP Academic Career Trackers of their 17 flagships recently also delved into AI with Angela Meyer (CEG) and AidroLab. A growing number of AI researchers also contribute to climate-related topics. A great example of this was the poster by Damla Akoluk (TPM), a PhD candidate from the HIPPO Lab, who presented her work on aggregation at the Climate Action Festival. Read more about how this inspiring day went here. The last TU Delft AI Lunch of 2023/2024 was themed “The unprecedented environmental impacts of AI: a transdisciplinary discussion” with panellists Benedetta Brevini (New York University), Olya Kudina (TPM), Fanny Hidvégi (Policy Director at the AI Collaborative) and moderator Roel Dobbe (TPM).
Are you interested in the intersection of AI & Climate and want to join or learn more about this growing climate/AI community at TU Delft? Join this workshop by registering above or below, or reach out to Climate Action Programme (Climate-Action@tudelft.nl) or AI Initiative (AI-Initiative@tudelft.nl)

Seminar Series on Meaningful Human-AI Interactions for a Digital Society - #4: Meaningful human-AI Interactions in Healthcare
2024-10-08 12:00 - 13:30 | Social Data Lab at EEMCS 28, Van Mourik Broekmanweg 6, Delft
A Seminar Series on Meaningful Human-AI Interactions for a Digital SocietyInterested in how to design AI to be meaningful, transparent, and ethical? Then join us for the continuation of our Meaningful-Human AI Interaction event series! Building off our previous events, we will explore how to define meaningful human-AI interactions and deploy AI responsibly with a group of interdisciplinary experts.
Event #4: Meaningful Human-AI Interactions in Healthcare
Engage in a discussion around how AI can support healthcare. Panelists Ujwal Gadiraju (TU Delft), Asra Aslam (University of Leeds), and Rik Wehrens (Erasmus University) will tackle the challenges of designing and deploying AI to meaningfully support healthcare workers and their patients.

Symposium - Feminist AI: Shaping Ethical Futures
2024-11-19 14:00 - 17:00 | Mondai | House of AI – Delft, Molengraaffsingel 29, Delft, 2629 JD
Symposium – Feminist AI: Shaping Ethical FuturesShaping a more inclusive and ethical AI landscape
We are excited to officially launch the Feminist Generative AI Lab through the Symposium “Feminist AI: Shaping Ethical Futures”. Please join the Feminist Generative AI Lab, Mondai | House of AI and Convergence AI, D&D on November 19th.
When – Symposium on November 19th 14.00 – 17.00 and PhD workshop on November 20th in the morning
Where – Mondai | House of AI, Next Delft (TU Delft Campus) and online (More info to come)
What – We explore the intersections of artificial intelligence, ethics, and feminist approaches to technology in a dialogue about the future of AI through a feminist lens. It is a conversation for all genders about less dominant alternatives, bridging binary oppositions, and embracing pluralism and differences in the design and development of AI. Join us to network, exchange ideas, explore questions on how to adopt feminist theories as a force of change, and collaborate across academia, practice and for a more inclusive and ethical AI landscape!
Programme
13.30 – 14.00 – Arrival and Check-in
14.00 – 14.10 – Welcome & Introduction
14.10 – 15.00 – Keynotes by:
Eleanor Drage, Senior Research Fellow, Leverhulme Centre for the Future of Intelligence, University of Cambridge
Abigail Oppong, Independent Researcher, Ghana
15.00 – 15.15 – Break and refreshments
15.15 – 16.00 – Keynotes by:
Laura Forlano, Professor, College of Art, Media and Design (CAMD), Northeastern University
Joana Varon, Founder Executive Directress, Coding Rights; Tech and Human Rights Fellow, Harvard Kennedy School
16.00 – 16.15 – Break and refreshments
16.15 – 17.00 – Panel discussion + Q&A with audience
Panel Moderator: Sally Wyatt, Professor of Digital Cultures, Faculty of Arts and Social Sciences, Maastricht University
17.00 – 18.00 – Closing remarks, followed by drinks and networking
Eleanor Drage
Bio:
Eleanor is a Senior Research Fellow at the University of Cambridge, and Co-Director of the AI: Narratives and Justice Programme. She is PI on the HEAT project, an AI ethics and regulation project that helps companies respond to the EU AI act. She also uses feminist and anti-racist ideas to improve society’s understanding of AI. She is the co-host of the award-winning The Good Robot Podcast, where she interviews top scholars and technologists about AI ethics. She has also worked with Google DeepMind, The Financial Times, The United Nations Data Science & Ethics Groups, CNN, BNP Paribas, The Open Data Institute (ODI), and the Institute of Science & Technology. She’s co-editor of The Good Robot: Feminist Voices on the Future of Technology (Feb 2024), and Feminist AI: Critical Perspectives on Algorithms, Data and Intelligent Machines (Oct 2023).
Keynote Abstract:
Can the EU AI Act be Feminist?
In this talk, Eleanor introduces HEAT, a somewhat anarchic regulation tool that takes a feminist approach to helping companies meet the EU AI Act’s obligations. She explains why feminism brings the AI Act to life, addresses its shortcomings, and makes the Act meaningful and interesting for technologists. We explore why addressing ‘bias’ isn’t enough, ‘diversity in tech teams’ needs to be properly defined and explained, and there’s no such thing as an AI ethics expert.
Laura Forlano
Bio:
Laura Forlano, a Fulbright award-winning and National Science Foundation funded scholar, is a disabled writer, social scientist and design researcher. She is Professor in the departments of Art + Design and Communication Studies in the College of Arts, Media, and Design and Senior Fellow at The Burnes Center for Social Change at Northeastern University. She is the author of Cyborg (with Danya Glabau, MIT Press 2024) and an editor of three books: Bauhaus Futures (MIT Press 2019), digitalSTS (Princeton University Press 2019) and From Social Butterfly to Engaged Citizen (MIT Press 2011). She received her Ph.D. in communications from Columbia University.
Keynote Abstract:
In this keynote talk, Laura Forlano will draw on her new book, Cyborg (MIT Press), co-authored with Danya Glabau in order to examine the question of whether 21st century technologies—from smartphones to medical devices to the commonplace use of artificial intelligence—have made cyborgs of us all? The book takes feminist cyborg theory as their starting point to explore the myriad ways that technology traverses our daily lives and practices and to ask: how do social and cultural factors—from gender to race, class to ability—affect how technologies are imagined, developed, put to use, and, crucially, resisted? Forlano and Glabau present an approach called “critical cyborg literacy” that brings together insights from critical feminist, race, and disability thinkers in an effort to reframe popular and scholarly conversations around the affordances of cyborg theory and to reimagine the cyborg in light of emerging technologies like automation and AI.
Joana Varon
Joana Varon is the Executive Directress and Creative Chaos Catalyst at Coding Rights and a researcher affiliated to the Berkman Klein Center for Internet and Society at Harvard University. Alumni at Mozilla Foundation and at the German Institut für Auslandsbeziehungen (IFA). Using creativity, hacker knowledge to disseminate feminist and decolonial approaches to technologies, she is co-creator of several projects operating in the interplay between activism, arts and technologies, such as Tech Cartographies, The Compost Engineers, Oracle for Transfeminist Tech, Musea Mami, Chupadados – the data sucker, Safer Nudes, among others.
Abigail Oppong
Bio:
Abigail Oppong is a renowned advocate for AI ethics, focusing on addressing biases in NLP and health systems and enhancing fairness in AI technologies, especially for underserved communities. Named among the 100 Women in AI Ethics in 2023, she collaborates with academia, industry, and NGOs to develop responsible AI systems tailored to local needs. Abigail’s expertise in data science and machine learning underpins her efforts to shape ethical AI governance, particularly in Africa. Her interdisciplinary approach and previous experience in the nonprofit sector enrich her contributions to AI ethics, emphasizing the importance of localization, trust, culture, and representation in technological development. Her passion for community development influenced her research journey to investigate how local organizations can be empowered in the age of emerging technologies.
Abstract:
An Invisible Lens on AI: Developing Inclusive Technologies for Diverse Communities
Addressing gender bias in AI systems, particularly for low-resourced African languages and the continent’s rich cultural diversity, tends to be a challenge. In this talk, I will explore how using methods like informal sessions, participant observation, digital content analysis, and AI model character analysis could help mitigate these biases. The insight gained from this research extends to assessing the current landscape of AI Technologies for marginalized communities in sectors such as health. Emphasizing a more feminist and community-centered approach, this talk will highlight the importance of designing technologies that truly serve local needs, gearing more into case studies that reveal the power dynamics influencing AI development across various stakeholders in the low-resourced settings and pointing out the ethical implications for sustainable impact.
PhD workshopNovember 20th (morning) at Mondai | House of AI, Next Delft at TU Delft campus
The PhD workshop investigates feminist approaches to generative AI by bringing together PhDs and other scholars from various fields to engage in cross- and inter-disciplinary discussions. Participants will have the opportunity to share their ideas and gain valuable feedback on their projects. More info to come!
Register here for the PhD WorkshopLab DirectorsDr. Sara Colombo (Co-Director), Assistant Professor in Designing responsible AI at the Faculty of Industrial Design Engineering, TU Delft. Dr. Colombo’s research explores innovative approaches for the ethical design of AI applications and the critical examination of their societal impact. Her work involves engaging communities in envisioning AI futures with an emphasis on inclusivity and a participatory approach.
Dr. Francisca Grommé (Co-Director), Assistant Professor in Digitalisation in Work and Society at the EUR department of Sociology, and AIPact TopTalent Research fellow. As an ‘ethnographer of data and AI’ she follows these technologies across different domains of work to understand how they affect marginalized groups, social justice, governance arrangements and the quality of work.
The Feminist Generative AI Lab is an initiative of TU Delft and Erasmus University Rotterdam and is funded by Convergence. For more information on the programme or the lab please check Convergence AI, D&D or Mondai | House of AI.

PhD workshop Symposium - Feminist AI: Shaping Ethical Futures
2024-11-20 10:00 - 12:30
PhD WorkshopsIn addition to the symposium, we have PhD workshops on the 20th (morning) at Mondai | House of AI, Next Delft at TU Delft campus.
The PhD workshop investigates feminist approaches to generative AI by bringing together PhDs and other scholars from various fields to engage in cross- and inter-disciplinary discussions. Participants will have the opportunity to share their ideas and gain valuable feedback on their projects.
The workshops are organised by the Feminist Generative AI Lab, Mondai | House of AI and Convergence AI, D&D.
Important Note: Due to limited seating for the PhD workshop, registration does not guarantee a spot. Participants will be selected based on their research interests, with priority given to PhD candidates.
Programme November 20, 10:00 – 12:30
Duration: 2.5 hrs
Confirmed discussants (more details will follow): Laura Forlano, Joana Varon, Iohanna Nicenbaum
Location: Mondai, Molengraaffsingel 8, Delft
While AI is increasingly part of daily realities, concerns are arising from the lack of diversity in gender, race, and cultural narratives throughout its development and application. In this PhD workshop, we will explore the potential of feminist approaches, asking how AI can be informed by feminist theories, and be used in feminist projects (Adam, 1998).
The aims of the workshop are, first, to support PhDs in developing their projects through feedback and exchange. Second, to connect projects from different disciplines (computer science, social science, design, humanities, and more) and envision current and future directions of research.
The workshop takes ‘care’ as a starting point, and explores what it means to care for each other, including the more-than-human-world. We will work on ways to create a space where we not only exchange ideas and feedback, but where we can also engage with the world to pay attention to and care for those marginalized and erased by hegemonic practices.

NL AIC Diner Pensant - AI-hub Zuid-Holland
2024-11-26 17:00 - 20:00 | Mondai | House of AI – Delft, Molengraaffsingel 29, Delft, 2629 JD
De Nederlandse AI Coalitie (NL AIC) en de AI-hub Zuid-Holland organiseren het Diner Pensant bij Mondai | House of AI te TU Delft. De gelegenheid voor de makers & shapers van AI om samen te komen!
Na wereldwijde voorbeelden van discriminerende algoritmes, waaronder ook de Nederlandse toeslagenaffaire en DUO, is de roep om risicobeheersing wetgeving van AI gegroeid en gerealiseerd via de EU AI Act. Naast regelgeving over de impact en ethische aspecten van hoog-risico AI is er nu ook wettelijk vastgelegd dat algoritmen gevalideerd moeten worden op technisch inhoudelijke gronden.

Thema van de avond:
Hoe kunnen we er met het bedrijfsleven, juristen, wetenschappers, beleidsmakers, en mensen uit de praktijk voor zorgen dat AI-ontwikkeling een inhoudelijke waarborg krijgt?

Uit een recente review van 15 bekende AI impact assessments blijkt dat er überhaupt geen rekening wordt houden met wiskundige validatie. Daarop komt nog dat volgens een recent onderzoek van de Algemene Rekenkamer “het op valt dat de door ons onderzochte organisaties niet standaard beschikken over de expertise die nodig is voor risicobeheersing van het algoritme.”
Tot op heden is er geen invulling voor een integrale toetsing waarin het fundament van AI, namelijk de wiskunde, ook mee wordt genomen, maar waar de wet nu wel om vraagt.
Met oog op deze nieuwe wetgeving, de groeiende roep van het bedrijfsleven en de verantwoordelijkheid van de opleiders, vragen Marieke Kootte en Vandana Dwarka van de TU Delft in dit Diner Pensant aandacht voor de rol van wiskundige validatie als aanvulling op de bestaande ethische en impact-gedreven toetsing. Onder het genot van een goede maaltijd gaan we het gesprek aan met AI-experts en deelnemers aan het diner om vanuit verschillende expertises, achtergronden en disciplines te verkennen hoe deze toetsen – validatie, impact en ethiek – een integrale bescherming zouden kunnen bieden tegen discriminerende algoritmes.
Programma
16.30 – 17.00 Inloop en Ontvangst
17.00 – 17.15 Opening en Introductie
17.15 – 18.00 Open themadiscussie: “Waarborg inhoudelijke AI-ontwikkeling”
18.00 Netwerk Diner
NL AIC en het Diner Pensant
Het is voor de NL AIC belangrijk om in gesprek met de makers & shapers van AI inzichten, uitdagingen en suggesties op te halen om die mee te kunnen nemen in gesprekken met beleidsmakers of in de vorming van departementale digitale strategieën. De 7 regionale AI Hubs in Nederland organiseren elk een Diner Pensant met partners, ondernemers, overheden en andere stakeholders in het regionale AI-ecosysteem. Naast inhoudelijke discussies is er zodoende natuurlijk ook gelegenheid om elkaar beter te leren kennen en samenwerkingsmogelijkheden te verkennen.

Themavraag: Hoe waarborgen wij samen de inhoudelijke AI-ontwikkeling?
Hoe kunnen we er met het bedrijfsleven, juristen, wetenschappers, beleidsmakers, en mensen uit de praktijk voor zorgen dat AI-ontwikkeling een inhoudelijke waarborg krijgt?
Bij deze waarborg komen veel verschillende disciplines kijken: wiskunde, rechten, ethiek, informatica, etc. Deze disciplines weten elkaar vaak niet te vinden en de rol van wiskunde is nog ondergeschikt bij de ontwikkeling van AI. Een recente fiod vacature van de Belastingdienst vroeg bijvoorbeeld voor de ontwikkeling van hoog-risico algoritmes enkel praktijkervaring en geen kennis van statistiek, lineaire algebra of numerieke wiskunde.
De dringende vraag is, hoe kunnen we al deze aspecten verenigen en waarborgen? Om deze, op dit moment nog losse expertises te harmoniseren, zouden bijvoorbeeld net als advocaten, artsen, tolken en accountants, AI-engineers een beroepsopleiding moeten volgen. Hier worden niet alleen de modellen wiskundig gevalideerd en gestress-test, maar leren ze verantwoordelijkheid te nemen door de ethische gevolgen en impact van hun handelen in de praktijk te ervaren.
Graag willen we hier samen met jullie over nadenken tijdens dit Diner Pensant. We brengen verschillende disciplines en werkvelden samen. Deelvragen die we onder andere willen stellen zijn de volgende:
• Hoe kijken jullie vanuit de praktijk naar de rol van opleiders ?
• Welke rol zien we per sector bij het inbedden van de wiskundige waarborg?
• Welke concrete resources hebben we per sector (technologie, rechten, governance en opleiding) nodig om deze invulling vorm te geven?
• Wat kunnen we leren van andere beroepen die een grote impact hebben op burgers?
• Welke praktische bezwaren zijn er tegen meer wiskunde op de AI werkvloer?
• Hoe laten we een techneut praten met een jurist?
Lees meer
Recente voorbeelden, zoals de toeslagenaffaire en de problematiek bij DUO, hebben laten zien dat algoritmen, die onder AI vallen, kunnen discrimineren. Om dit te voorkomen wordt er steeds meer risicobeheersing wetgeving opgesteld, waaronder de Europese AI Act, die ook voor Nederland geldt. In deze act is nu wettelijk vastgelegd dat naast de impact en ethische aspecten van AI, hoog-risico algoritmen gevalideerd moeten worden op inhoudelijk technische gronden, zoals nauwkeurigheid en robuustheid van het algoritme zelf.
Hoewel we al meerdere impact assessments voor AI voorbij hebben zien komen, bestaat er nog geen raamwerk voor de inhoudelijke invulling van begrippen als nauwkeurigheid en robuustheid van het algoritmen. Dit, terwijl de wet daar nu wel om gaat vragen en de tijd dringt.
Uit een recente review van 15 bekende impact assessments, blijkt dat er überhaupt geen rekening wordt houden met wiskundige validatie. Daarop komt nog dat volgens een recent onderzoek van de Algemene Rekenkamer “het op valt dat de door ons onderzochte organisaties niet standaard beschikken over de expertise die nodig is voor risicobeheersing van het algoritme.”
Ongeacht de verschillende expertises die samen komen bij AI-ontwikkeling, moeten we voor inhoudelijke validatie van algoritmes en invulling van termen als ‘nauwkeurigheid’ en ‘robuustheid’ toch bij wiskundigen zijn. Dit, omdat vaak enkel expliciete vormen van discriminatie, zoals selecteren op etniciteit en religie, herkenbaar is. Om AI-ontwikkelaars bewuster te maken van de impliciete varianten, is kennis van de passende wiskundige toetsen en de aannames daarachter nodig. Mede hierom is in Silicon Valley recent een convenant ondertekend (MathMatters) door alle grote AI Tech giganten waarin ze oproepen tot een stevige wiskundige basis bij hun toekomstige werknemers. Deze wiskundige kennis kan een inherente bescherming tegen discriminerende algoritmes bieden, maar wordt op dit moment in de praktijk niet of nauwelijks gevraagd aan AI-ontwikkelaars.
Met oog op deze nieuwe wetgeving, de groeiende roep van het bedrijfsleven en de verantwoordelijkheid van de opleiders, vragen we in dit Diner Pensant aandacht voor de rol van (wiskundige) validatie als aanvulling op de bestaande ethische en impact-gedreven toetsing. Met verschillende expertises en disciplines willen we verkennen hoe deze toetsen (validatie, impact en ethiek) een integrale bescherming zouden kunnen bieden tegen discriminerende algoritmes.

TU Delft AI Lunch - Inclusive AI: Caring with and for AI
2024-12-11 12:00 - 13:30 | Mondai | House of AI – Delft, Molengraaffsingel 29, Delft, 2629 JD
Mondai | House of AI is happy to host the new edition of the TU Delft AI Lunch:
Inclusive AI: Caring with and for AIWhat does it mean to realize care as a design requirement in the deployment of robots, and more generally in human-machine interactions? And more broadly, what is required to propel a care-based vision within the design of AI systems? Care can be understood as an ethical framework for responsible technology development, as well as for engineering education. In practice, it translates to embracing the principles of interrelation, co-dependence, diversity, and inclusion – combining social, technological, and institutional levels of AI development. But how exactly does this translate into engineering and design practice?
Join us for an interactive discussion to explore what it means to care with, and for, AI, and to kick-off the new series on Inclusive AI!
This event includes free lunch for which registration is required (help us reduce food waste!)
Programme
12.00 – 12.30 Walk-in and Lunch
12.30 – 13.30 Panel Discussion on Inclusive AI with Olya Kudina (TPM), Nazli Cila (IDE), Laura Marchal-Crespo (ME), Sara Colombo (IDE), and Arkady Zgonnikov (ME)
Panellists

Olya Kudina
Assistant Professor of Ethics & Philosophy of Technology (Faculty of TPM)
Olya is an interdisciplinary researcher in philosophy/ethics of technology who explores the relation between human values and technologies. Her recent focus has been on AI and democracy in the framework of the AI DeMoS Lab that she founded and co-leads. To anticipate the ethical challenges and opportunities of technologies, Olya thinks it is essential to combine different academic practices and fields.

Nazli Cila
Assistant Professor, Faculty of Industrial Design Engineering
Nazli is an Assistant Professor at the Department of Human-Centered Design, Faculty of Industrial Design Engineering. Her work combines interaction design with humanities, integrating empirical work (i.e., experimentation, future modelling, and prototyping) with practical and ethical issues surrounding collaborations with agents. Nazli is co-director of the AI DeMoS Lab.

Laura Marchal-Crespo
Associate Professor, Faculty of Mechanical Engineering
Laura is an Associate Professor at the Department of Cognitive Robotics, Faculty of Mechanical Engineering. She is also affiliated with the ARTORG Center for Biomedical Engineering Research, University of Bern. Laura carries out research in the general areas of human-machine interfaces and biological learning, and, specifically, in the use of robotic assistance and virtual reality to aid people in learning motor tasks and rehabilitate after neurologic injuries.

Sara Colombo
Assistant Professor, Faculty of Industrial Design Engineering
Sara’s research explores innovative approaches for the ethical design of AI applications and the critical examination of their societal impact. Her work involves engaging communities in envisioning AI futures with an emphasis on inclusivity and a participatory approach.

Arkady Zgonnikov
Assistant Professor, Faculty of Mechanical Engineering
Arkady’s research bridges the fields of cognitive science and robotics by developing cognitive models of human behaviour in human-robot interactions. He works in collaboration with some of the world’s best researchers in robotics and AI to incorporate cognitive models into the design of autonomous robots and automated driving systems. Arkady is co-director the newly launched Centre for Meaningful Human Control.

About the series Inclusive AI
Inclusivity can be understood as a desirable quality of AI systems, encompassing a broad range of pressing societal and technical challenges for the responsible development and deployment of AI systems. It manifests in machine learning through concerns related to fairness, bias, and trustworthiness; societal issues currently underrepresented in discourse (e.g., feminism, neurodiversity, disability studies, care ethics, intersectionality, more-than-human perspectives); and, in engineering and robotics application domains such as healthcare, mobility, urban AI, and the future of work. This new series aims to bring together a growing research community on campus to exploring these topics and foster an interdisciplinary exchange.
This lunch will be the first in a series of three panel discussions on Inclusive AI throughout 2024-25. Stay tuned for details on the second lunch in spring 2025.
The Delft AI (Lab) Lunch series
This series is part of the monthly Delft AI (Lab) Lunches, a recurring meet-up hosted by the TU Delft AI Labs & Talent community at Mondai | House of AI.
Every month, we host a panel to discuss challenges and developments made at the intersection of AI and a specific field. During these events, you can participate, learn, make connections, inspire and be inspired by and with the Delft AI Community. We invite all interested staff and students from TU Delft to join these sessions. Please contact community manager Charlotte Boelens for more information about this series or the TU Delft AI Labs & Talent Programme.

Note for TU Delft PhDs
The TU Delft AI Lunch series is eligible for earning discipline related skills GSC with the ‘Form for earning GSC for TU Delft AI(-related) seminars’. Check with your local Faculty Graduate School (FGS) if your FGS offers this option for earning Discipline Related Skills GSC; and with your supervisors if they accept our seminars on your Doctoral Education (DE) list. If you already have a form, don’t forget to bring it with you.

AI & Mobility Day
2025-01-17 09:00 - 16:00 | Mondai | House of AI – Delft, Molengraaffsingel 29, Delft, 2629 JD
AI & Mobility Day – Discovering the Future Today
The world of transport, mobility and logistics is on the brink of an unprecedented transformation, driven by rapid developments in artificial intelligence (AI). This technology has the potential not only to revolutionise the way we move, but also to address fundamental efficiency, sustainability and safety challenges.
Imagine a future where traffic congestion is a thing of the past thanks to intelligent traffic systems that use real-time data to optimise traffic flows. Or imagine autonomous vehicles that not only improve road safety but also make mobility more accessible to all. AI makes it possible to optimise logistics chains, allowing goods to reach their destinations faster and with less environmental impact. However, with these advances also come important questions and responsibilities. How do we integrate AI ethically and responsibly into our transport systems? How do we ensure user privacy and security in an increasingly connected world? And how do we ensure that technological innovations contribute to societal goals and do not lead to new forms of inequality?
A day full of inspiration and interaction
During TU Delft’s festive Dies Natalis week “Making Sense of Mobility”, Mondai | House of AI is pleased to host a day full of inspiration, innovation and interaction, where together we will shape the future of AI in mobility.
In cooperation with the TU Delft | AI Initiative, AI-hub Zuid-Holland, Mobility Innovation Centre Delft (MICD) and the Transport & Mobilitity Institute (TMI) we bring together leading experts from science, industry and government to address these questions.
This AI & Mobility Day you can expect:

In-depth keynote presentations from renowned speakers sharing their views on the impact of AI on mobility and society.
Interactive sessions where you will gain hands-on experience with the latest AI applications and methodologies.
Panel discussions on ethics and policy, where we explore the complex issues surrounding privacy, security and human autonomy.
Networking opportunities with professionals, researchers and policymakers to exchange knowledge and initiate new collaborations.
Opening of the DIAMonDlab, our new innovation centre that will be a hub for pioneering research and development at the intersection of AI and mobility.
AI and Mobility demo & poster market, an interactive space where research projects will present their latest insights.

The day is aimed at anyone involved or interested in the future of mobility – from engineers and data scientists to policymakers and entrepreneurs. Whether you want to learn about the latest technological innovations, discuss the ethical implications or expand your network, this event offers something for everyone. Places are limited, so be quick! Let’s shape the mobility of the future together and ensure that AI has a positive and sustainable impact on our society.
AI & Mobility Day (preliminary programme)
09.00 – 09.30 Check in & coffee
09.30 – 12.30 AI & Mobility: Innovation, ethics & the road to the future
12.30 – 13.30 Break with lunch & market
13.30 – 16.00 AI & Mobility: Innovation, ethics & the road to the future
16.00 Drinks
SpeakersProf.dr.ir. Serge Hoogendoorn
Distinguished Professor Smart Urban Mobility (TU Delft)

Professor Serge P. Hoogendoorn is an expert in the field of traffic and transportation engineering. He is a distinguished professor in Smart Urban at Delft University of Technology in the Netherlands.
With a strong focus on traffic flow theory, pedestrian and crowd dynamics, and intelligent transportation systems, Professor Hoogendoorn has significantly contributed to advancing knowledge in traffic and transportation domain.
His research encompasses the development of mathematical models and simulation tools to understand and improve traffic flow and pedestrian movement in urban environments.
He has published extensively in academic journals and has been involved in numerous national and international research projects aimed at enhancing the efficiency and safety of transportation networks.
Professor Hoogendoorn is also recognized for his work on data-driven approaches and the application of artificial intelligence in transportation systems. His efforts in integrating traditional engineering principles with innovative data science methodologies are testaments of his the pursuit for smarter, more efficient urban transportation solutions.
Dr. Sascha Hoogendoorn-Lanser
Director Mobility Innovation Centre Delft (MICD)
Dr. Sascha Hoogendoorn-Lanser, Director of the Mobility Innovation Centre Delft and part of TU Delft’s Innovation & Impact Centre, leads strategic initiatives that shape the future of transportation.
Her work focuses on advancing innovative technologies and policies to create a sustainable, safe, inclusive, and future-proof mobility system, encompassing optimized passenger transport and resilient freight infrastructure. Sascha leads AIM-TT (AI Learning Initiative for Multi-modal Traffic and Transportation), a collaborative effort with private and public stakeholders.
This initiative explores the potential of AI in the MTL domain, emphasizing practical learning from real-world applications. It focuses on co-developing knowledge through use cases, each tailored to different temporal and spatial scales, transportation modes, application contexts (e.g., regular operations and disruptions), data availability, and other critical factors.
Prof.dr.ir. Geert-Jan Houben
Pro Vice Rector Magnificus Artificial Intelligence, Data and Digitalisation (TU Delft)
© 2017 Mark Prins
As PVRM AI, Geert-Jan Houben leads the TU Delft activities in the field of AI, data and digitalisation, for education, for research and valorisation, and for relevant support. This includes leading the TU Delft AI Initiative, the university-wide program to coordinate and support all activities and developments around AI and education, research and innovation.
It also includes the establishment and support of TU Delft AI Labs to promote cross-fertilisation between AI experts and scientists who use AI in their education and research.
The role of the PVRM AI also includes the representation of TU Delft in regional, national and international co-operation on this theme.
Marco Hennipman
Business Development Manager at Siemens Mobility
Marco Hennipman is currently the Teamlead digital business and innovation at Siemens Mobility Netherlands. He is a TU Delft alumni who, since his graduation, has been specializing in building IT solution within the mobility domain.
He is passionate about improving travelers experience via Demand Responsive Transport, Traveler Flow and Mobility as a Service solutions.
Dr. Emir Demirović
Assistant Professor at Faculty of EEMCS (TU Delft), co-lab director XAIT Lab
Emir is an Assistant Professor at the Algorithmics group at the Department of Software and Computer Technology. His primary research interest lies in solving complex real-world problems through combinatorial optimisation and its integration with machine learning. His research includes both developing general-purpose algorithms and applications.
Dr. Yanan Xin
Assistant Professor at Faculty of CEG (TU Delft), co-lab director DAIMoND Lab
Yanan Xin is an assistant professor at the Department of Transport and Planning at TU Delft, co-director of the DAIMoND (Digitization and AI for Mobility Network Dynamics) lab.
With a goal of promoting responsible AI transformation in transportation, her research interests cover interpretable machine learning, spatial causal inference, mobility-based anomaly detection, and the intersection between mobility and energy.
Dr. Marco Rinaldi
Assistant Professor at Faculty of CEG (TU Delft), co-lab director DAIMoND Lab
Marco Rinaldi is assistant professor in Advanced Traffic Management. His research involves computational modelling and problem-solving for Multimodal Traffic Management, investigating aspects of data collection, availability and processing, as well as applications of novel techniques (AI) for fast, responsive and resilient decision support systems.
Dr. Holger Caesar
Assistant Professor at Faculty of ME (TU Delft), ELLIS Scholar
Dr. Holger Caesar is an Assistant Professor in TU Delft’s Intelligent Vehicles group, specializing in deep learning for autonomous vehicle perception and planning.
Prior to joining TU Delft, he worked in a major autonomous vehicle company and developed leading datasets and methods for 3D object detection.
Dr.ir. Simeon Calvert
Assistant Professor at Faculty of CEG (TU Delft), co-lab director CityAI Lab & lab director ADaS Lab
Dr. Simeon Calvert is associate professor of Smart & Automated Driving in the department of Transport & Planning at the TU Delft. He is director and founder of the Automated Driving & Simulation (ADaS) research lab and co-director of the CityAI-lab for research on urban behaviour using AI.
He is also a board member of the Centre for Meaningful Human Control over AI, the interdisciplinary research program for responsible autonomous technology. His research is focussed on the impacts of technology on road traffic through experimentation, conceptualization and simulation.
Dr. Arkady Zgonnikov
Assistant Professor at Faculty of ME (TU Delft), co-lab director HERALD Lab
Arkady Zgonnikov is an interdisciplinary cognitive scientist specializing in modeling human driver behavior and applications of human models for automated driving.
Arkady’s work bridges diverse disciplines such as cognitive science, artificial intelligence, and ethics of technology. He is a co-director of the HERALD Lab (Human-aware robust AI for automated driving) and a director for partnerships and collaborations at the Centre for Meaningful Human Control.
Robert Jan ter Kuile
Future of Mobility, Deloitte
Robert Jan ter Kuile leads the Future of Mobility theme within Deloitte. He works with public as well as private clients in the transition to clean mobility and livable cities, because it is the collaboration between public and private sectors which will enable a new mobility system.
Robert Jan has been working in mobility eco system since he graduated in Transport and Planning at TU Delft in 2006.
Sebastian Schwinn
Manager Mobility & Transport, d-fine
Sebastian Schwinn is Manager at d-fine, where he is mastering analytical, quantitative, and technological challenges of clients in the area of mobility and transportation.
His project experience covers data modelling in public traffic, the development of data platforms for advanced analytics, and implementations of data-driven use cases – such as an on-demand mobility analytics platform or prediction models for traffic jam detection.
Before joining d-fine more than five years ago, he had studied mathematics and received his PhD at TU Darmstadt.
Prof.dr.ir. Hans van Lint
Professor of Traffic Simulation and Computing at Faculty of CEG (TU Delft)
Hans van Lint is Antonie van Leeuwenhoek professor traffic simulation and computing at the transport and planning department of the CEG faculty, with a mission  to contribute to the science of describing, modeling, simulating and predicting road traffic over all spatiotemporal scales, and using that knowledge to build applications for practice that help solve some key problems on our planet: traffic (un)safety, emissions, congestion.
Hans acquired over 11 ME in grants to support his mission, graduated 17 PhD students with 8 in the pipeline and is highly active in many international projects and collaborations.
Erik-Sander Smits
CEO of Arane
Erik-Sander Smits is a partner at Arane, with extensive experience as a data scientist and consultant in traffic management.
He specializes in data-driven research and has contributed to the development of innovative traffic management solutions in various urban areas. Passionate about practical innovation, he strives to bring cutting-edge solutions into real-world applications.
Dr.ir. Mahnam Saeednia
Assistant Professor at Faculty of CEG (TU Delft)
Mahnam Saeednia is an Assistant Professor at the Faculty of Civil Engineering and Geosciences at TU Delft in the department of Transport and Planning.
Mahnam’s area of research addresses current challenges of freight transport sector, specifically in the domains of automation, digitalization and energy transition.
Prof.dr. Tina Comes Professor of Decision-Making & Digitalisation at Faculty of TPM (TU Delft)
(C) Roel Dijkstra Fotografie / Foto: Robert Vos
Prof. Tina Comes is a Professor in Decision Theory & ICT for Resilience at the TU Delft (NL). Her research combines behavioural insights and value considerations with computational models and AI.
She recently chaired the Evidence Review Report on Strategic Crisis Management in the EU under Science Advice for Policy-Makers by European Academies. She is a member of the Norwegian Academy of Technological Sciences and the Academia Europaea, and she serves as Editorial Board Member for Nature Scientific Reports. Dr. Neil Yorke-Smith
Associate Professor at Faculty of EEMCS (TU Delft)
Neil Yorke-Smith directs the Socio-Technical Algorithmic Research (STAR) Lab at TU Delft. His research addresses a fundamental question of the AI era: how can technology help people make decisions in complex socio- technical situations?
Yorke-Smith is an Associate Professor in the Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS/EWI), Delft University of Technology.
Demo & poster market
With contributions from: CityAI Lab, DAIMoND Lab, HERALD Lab, RAIL Lab, XAIT Lab and MICD.
Making Sense of Mobility
This event is part of TU Delft’s 183nd Dies Natalis celebrations with the theme Making Sense of Mobility. From 13 to 17 January we invite all students, employees, alumni, partners and peers to take part in one of our events of the Making Sense of Mobility week and join the Dies Natalis anniversary ceremony. With debates, lectures, demo’s and a Mobility Innovation event, there should be something to meet your needs. Let’s shape the future of mobility together.

Climate & AI Workshop #2
2025-03-10 14:30 - 17:30 | Mondai | House of AI – Delft, Molengraaffsingel 29, Delft, 2629 JD
Mondai | House of AI is glad to host the second Climate & AI workshop with the Climate Action Programme and the TU Delft | AI Initiative On Monday March 10th (14:30 – 17:30) at Mondai | House of AI, the Climate Action Programme and the TU Delft AI Initiative are co-organising their second worskhop together. The event will bring together local researchers working on Al and climate and explore relevant overlaps and related opportunities. Purpose is to (further) delve into generating and shaping innovative ideas together. The programme includes introductions on behalf of both university-wide programmes, short pitches from researchers, breakout groups on 3-5 themes and will be concluded with a borrel. A minimum of 5 participants per theme is required.
The following thematic crossroads will be further defined during this Climate & AI event and relevant opportunities explored:

AI for Sustainable Energy Transition
Urban Data Analytics
AI & Earth (Systems)
Sustainable Materials & Manufacturing
AI for Climate Policy Support

(De voertaal van dit event is Engels)
Programme
14.30 – 14.45 Walk in and drinks
14.45 – 15.30 Opening
15.30 – 16.45 Breakout per theme
17.00 Borrel & (interthematic) networking
This event is aimed (early/earlier career) faculty staff of all TU Delft faculties. Are you a phd or postdoc and interested in these themes? Or are you an interested faculty staff member who can’t join the event on March 10th but do you want to stay updated about follow up? Get in touch with the organisation team via Charlotte Boelens.
AI and Climate / Climate and AI at TU Delft
Read the recap of the first Climate/AI Workshop (3 October 2024) here.
In March 2024, the Climate Action Programme (CAP) dedicated their monthly lecture to ‘AI and Climate’ with a talk on “Machine-learning for understanding atmospheric physics” by Geet George (CEG) and Jing Sun (EEMCS) – recording and presentations available here. The CAP Academic Career Trackers of their 17 flagships recently also delved into AI with Angela Meyer (CEG) and AidroLab. A growing number of AI researchers also contribute to climate-related topics. A great example of this was the poster by Damla Akoluk (TPM), a PhD candidate from the HIPPO Lab, who presented her work on aggregation at the Climate Action Festival. Read more about how this inspiring day went here. The last TU Delft AI Lunch of 2023/2024 was themed “The unprecedented environmental impacts of AI: a transdisciplinary discussion” with panellists Benedetta Brevini (New York University), Olya Kudina (TPM), Fanny Hidvégi (Policy Director at the AI Collaborative) and moderator Roel Dobbe (TPM).
Are you interested in the intersection of AI & Climate and want to join or learn more about this growing climate/AI community at TU Delft? Join this workshop by registering above or below, or reach out to Climate Action Programme (Climate-Action@tudelft.nl) or AI Initiative (AI-Initiative@tudelft.nl).

TU Delft AI Lunch - Inclusive AI: Approaches to Digital Inclusion
2025-03-12 12:00 - 13:30 | Mondai | House of AI – Delft, Molengraaffsingel 29, Delft, 2629 JD
Mondai | House of AI is happy to host the new edition of the TU Delft AI Lunch:
Inclusive AI: Approaches to Digital Inclusion Realising inclusive digital systems requires the development of tools and methods that can achieve identified goals. This often takes the form of mitigating negative effects that lead to digital exclusion, for example biases. However, it can also incorporate positive values as design requirements such as fairness, contestability, and accessibility. Ideally, this leads to digital tools and systems that promote participatory processes and just outcomes. But, by what metrics or standards should we evaluate these approaches? Is a fair system necessarily reliable and accurate, or are trade-offs required? How can ‘digital inclusion’ be operationalised as a design requirement at different levels, from algorithms to design processes to artifacts and infrastructures?
What do you think about the current approaches to digital inclusion? Join us for an interactive discussion to explore how to make inclusive AI actionable.
This event includes free lunch for which registration is required (help us reduce food waste!)
(This event will be held in English)
Programme
12.00 – 12.30 Walk-in and Lunch
12.30 – 13.30 Panel Discussion on Inclusive AI with Nazli Cila (IDE), Alessandro Bozzon (IDE), Kars Alfrink (IDE), Emir Demirović (EEMCS), Roberto Rocco (ABE), Marie-Therese Sekwenz (TPM)
Moderators & Panellists

Moderator: Nazli Cila
Assistant Professor, Faculty of Industrial Design Engineering
Nazli is an Assistant Professor at the Department of Human-Centered Design, Faculty of Industrial Design Engineering. Her work combines interaction design with humanities, integrating empirical work (i.e., experimentation, future modelling, and prototyping) with practical and ethical issues surrounding collaborations with agents. Nazli is co-director of the AI DeMoS Lab.

Moderator: Alessandro Bozzon
Professor, Faculty of Industrial Design Engineering
Alessandro is Professor of Human-Centered AI and head of the Department of Sustainable Design Engineering, Faculty of Industrial Design Engineering. His research lies at the intersection of human-computer interaction, human computation, user modelling, and machine learning – developing methods and tools that support the design, development, control, and operation of AI-enabled systems that are well-situated to actual human characteristics, values, intentions, and behaviours.

Panellist: Kars Alfrink
Postdoc, Faculty of Industrial Design Engineering
Kars is a researcher in the Department of Sustainable Design Engineering, focusing on contestable AI. His research investigates how to design public AI systems so that they remain subject to societal control. Before entering academia, Kars spent over 15 years as an interaction design consultant, entrepreneur, and community organizer- experiences that now shape his research.

Panellist: Emir Demirović
Assistant Professor, Faculty of Electrical Engineering, Mathematics and Computer Science
Emir is an Assistant Professor at the Algorithmics group. He leads the Constraint Solving (“ConSol”) research group, is co-director of the Explainable AI in Transportation Lab (“XAIT”) as part of the Delft AI Labs, and is an ELLIS Scholar. His primary research interest lies in solving complex real-world problems through combinatorial optimisation and its integration with machine learning.

Panellist: Roberto Rocco
Associate Professor, Faculty of Architecture and the Built Environment
Roberto is an Associate Professor of Spatial Planning and Strategy at the Department of Urbanism. He specialises in governance for the built environment and social sustainability, as well as issues of governance in regional planning and design. This includes issues of spatial justice as a crucial dimension of sustainability transitions.

Panellist: Marie-Therese Sekwenz
PhD Candidate, Faculty of Technology, Policy and Management
Marie-Therese is a PhD candidate at the Department of Multi-Actor Systems and a member of the AI Futures Lab. In her research she asks questions addressing aspects of rights and justice, focused on content moderation, platform governance and regulation, AI and socio-technical and legal system design. Marie-Therese is also active as a journalist for the Austrian Broadcasting Agency (ORF).

About the series Inclusive AI
Inclusivity can be understood as a desirable quality of AI systems, encompassing a broad range of pressing societal and technical challenges for the responsible development and deployment of AI systems. It manifests in machine learning through concerns related to fairness, bias, and trustworthiness; societal issues currently underrepresented in discourse (e.g., feminism, neurodiversity, disability studies, care ethics, intersectionality, more-than-human perspectives); and, in engineering and robotics application domains such as healthcare, mobility, urban AI, and the future of work. This new series aims to bring together a growing research community on campus to exploring these topics and foster an interdisciplinary exchange.
This lunch is the second in a series of discussions on Inclusive AI throughout 2024-25. Stay tuned for details on upcoming events!
The Delft AI (Lab) Lunch series
This series is part of the monthly Delft AI (Lab) Lunches, a recurring meet-up hosted by the TU Delft AI Labs & Talent community at Mondai | House of AI.
Every month, we host a panel to discuss challenges and developments made at the intersection of AI and a specific field. During these events, you can participate, learn, make connections, inspire and be inspired by and with the Delft AI Community. We invite all interested staff and students from TU Delft to join these sessions. Please contact community manager Charlotte Boelens for more information about this series or the TU Delft AI Labs & Talent Programme.

Note for TU Delft PhDs
The TU Delft AI Lunch series is eligible for earning discipline related skills GSC with the ‘Form for earning GSC for TU Delft AI(-related) seminars’. Check with your local Faculty Graduate School (FGS) if your FGS offers this option for earning Discipline Related Skills GSC; and with your supervisors if they accept our seminars on your Doctoral Education (DE) list. If you already have a form, don’t forget to bring it with you.

AI in Bioscience: Redefining Frontiers
2025-04-15 - 2025-04-16 | Mondai | House of AI – Delft, Molengraaffsingel 29, Delft, 2629 JD
Mondai is pleased to once again host the AI4b.io Symposium
AI for Bioscience: Redefining FrontiersWe are excited to invite you to the fourth AI4b.io Symposium, where cutting-edge Artificial Intelligence meets the complex challenges of Bioscience. Immerse yourself in two days of inspiring presentations and posters that dive into diverse topics ranging from large-scale factory scheduling to the genetic manipulation of microorganisms. Explore the intersection of AI and bioscience with engaging interdisciplinary discussions across various fields, such as

Scheduling in process industries
Fluid dynamic modeling
Lab automation
Optimal experimental design
Microbiome precision feed
Metabolic engineering
Molecular machine learning
Human-aware constrained optimization

This event offers a unique platform to exchange ideas, present innovative research, and forge meaningful connections across academia and industry. Whether you’re advancing theoretical frameworks or driving practical applications, this symposium fosters collaboration to push the frontiers of AI in bioscience.
(De voertaal van dit event is Engels)
Register here!Confirmed Speakers
Karoline Faust
Associate Professor in Microbiological Bioinformatics at KU Leuven
Gabriel D Weymouth
Professor of Ship Hydromechanics at TU Delft
Vitor A.P. Martins dos Santos
Professor of Biomanufacturing and Digital Twins, Wageningen University & Research
Daniel Probst
Assistant Professor, Wageningen University and Research

Call for AbstractsAI4b.io invites AI practitioners, researchers, and innovators to share their work through poster and oral presentations. This is a valuable opportunity to showcase your expertise and contribute to the growing field of AI in bioscience!
To participate, please submit your abstract following the required abstract format. Applications are welcome from academia, established companies, and start-ups alike.
Abstract Submission Deadline: February 12th, 2025
About AI4b.io
The Artificial Intelligence Laboratory for Bioscience (AI4b.io) is a collaboration between dsm-firmenich and Delft University of Technology. AI4b.io is aiming at long-term innovation in the fields of Artificial Intelligence and Bioscience to develop biobased products and to optimize biobased production technologies. Their mission is to develop a deep understanding of how novel AI technology (methods, techniques, theories, and algorithms) can strengthen the effectiveness and efficiency of relevant research and/or business processes in the biotech industry.
For five years, five PhD researchers will work in the lab. Research topics will include, among other things, Digital twin and smart plant scheduling, Digital twin for large-scale fermentation, Digital twin of lab automation processes and self-learning platforms and Machine learning for iterative metabolic engineering.

Upstream - Women in AI Connect
2025-05-20 15:30 - 18:00 | Molengraaffsingel 29, Delft, Molengraaffsingel 29, Delft, 2629 JD
Registration​WAI Connect: Women in AI Benelux X AI-Hub Zuid-Holland (side event of Upstream festival)​(De voertaal van dit evenement is Engels – this event will be held in English)
AI-Hub Zuid-Holland and Women in AI Benelux are proud to host Women in AI Connect during #Upstream2025.
Join us and thousands of changemakers on May 20 in Delft as we create new connections to shape a future proof economy.
Sign up for our event via the link and don’t forget to claim your Upstream Pass via www.upstreamfestival.com.
Women in AI
WAI Connect events are networking gatherings organized by Women in AI Benelux with regional AI hubs in The Netherlands and other partners in Benelux. These events feature expert presentations, and networking sessions. They showcase women AI leaders sharing specialized knowledge across fields like healthcare and NLP, connecting theory with practical applications.
​We aim to highlight women’s contributions while fostering community within the Benelux AI ecosystem.
Programme
​15:30 | Walk in
​16:00 – 16:30 | When AI Meets UX: What It Means for Researchers, Designers, and Product Managers, Jie Li, Chief Scientific Officer at Human-AI Symbiosis Alliance (H-AISA)
​16:30 – 16:40 | Break
​16:40 – 17:10 | Artificial (im)perfection, Tessa Bruijne, Research Scientist Digital Society at TNO Vector
​17:10 – 18:30 | Networking, drinks and bites
Confirmed Speakers
Jie Li
Human-Computer Interaction Researcher, User Experience Researcher, Columnist at ACM Interactions, Cake Designer
Tessa Bruijne
Research Scientist at TNO

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AI PhD & Postdoc Spring Symposium
2025-06-12 13:00 - 17:30 | Mondai | House of AI – Delft, Molengraaffsingel 29, Delft, 2629 JD
Mondai | House of AI is happy to host AI PhD & Postdoc Spring Symposium, together with the TU Delft AI Initiative and the AI PhD Committee! (De voertaal van dit event is Engels)

Are you a PhD or postdoc researcher at TU Delft working on AI-related topics? You are cordially invited!

We are excited to announce the next edition of the Spring Symposium dedicated to the AI PhD & postdoc community, including the yearly Poster Event! Hosted on June 12th (13:00 – 17:30) at Panorama XL@Mondai | House of AI, the event includes poster pitches, an interactive panel discussion on interdisciplinary publication, keynotes from final year PhDs, and the ever-important borrel. It’s an excellent opportunity to present your research and network with fellow AI-focused scholars across campus.
Programme (preliminary) 13:00 – 17:30

Keynotes & talks from final year PhDs working in/with AI at TU Delft
Panel discussion on interdisciplinary research & publications
Poster market: You are invited to contribute to this event with your own poster! See poster requirements on below. Final deadline for participating with poster: June 4th

The afternoon session will end in a casual manner with drinks, refreshments and an opportunity for networking. More details to be announced so keep an eye on this page for more updates on speakers and panellists.
Posters Researchers at all stages of their PhD and working in all different areas of AI are welcome:

Machine learning and foundational AI techniques
Human-centered AI systems
Application of AI
Fairness, bias, legal, and ethical considerations of AI
Education and AI
Design with AI
Reflexive and critical research on AI
And more…

Requirements

A0 size – printing available via AI Initiative

PDF (Portrait mode, 300 DPI)

The reuse of existing A1 or A0 posters is allowed
Submissions can be made via the registration form available on this page

Register & submit your poster by Wednesday, 4 June.
Any questions? Please contact the AI PhD Committee at AI-PhD-Committee@tudelft.nl
Speakers Keynotes & talks from final year PhDs
The Learning Curve: Lessons after 5 Years of Training by Alexander Garzón
Alexander Garzón is a final-year Ph.D. candidate at the AIdroLab, at the intersection of AI and water engineering. Over the past few years, he has been developing machine learning models—mainly graph neural networks—to help simulate drainage infrastructure more efficiently. In this talk, he will share some of the highs and lows from his PhD journey, the tools that made a difference, and what he wishes he knew when he started.
Understanding 3D Urban Environments from Point Cloud Data by Shenglan Du

Shenglan Du is a last-year PhD candidate from the Architecture faculty. She has a background in remote sensing and Geo information science from Wuhan, China. Her research interests include deep learning for 3D data analysis, 3D segmentation, and 3D modelling.
The Development of a Reflective & Slow AI Design Practice by Vera van der Burg
Vera van der Burg is a designer and researcher pursuing her PhD at the Technical University in Delft’s Designing Intelligence Lab, where she challenges conventional AI narratives by repositioning these systems as reflective tools rather than mere optimization machines. Viewing AI as a material to be disentangled and explored, she emphasizes annotation and training phases as spaces for designers to examine their own practices and subjectivities. Through publications, workshops, talks, and installations, she reveals AI’s potential to create productive friction in creative processes, reimagining human-AI interactions beyond automation.
Designing Trustworthy Human-AI Collaboration: The Interdependence and Trust Analysis Framework by Carolina Centeio Jorge
Carolina Centeio Jorge (pronunciation [kɐɾulˈinɐ] [sẽ tˈɐju] [ʒˈɔɾʒɨ]) is a PhD candidate in the Interactive Intelligence, focusing on mental models in the context of human-AI teams. Her goal is to enable interactive and intelligent agents (e.g., robots) to understand their human teammates and respond to them transparently and effectively. Specifically, she has been investigating the concept of artificial trust in decision-making within human-AI teamwork, particularly in modelling context-dependent human trustworthiness for collaboration scenarios.

Panel on AI-related interdiscplinary research & publishing

Panelists

The aim of this panel is to give insights in AI-related interdisciplinary research. It can be challenging to find the right conferences or journals to publish such work, for example because it is difficult to completely fit in one corner of the research scope. Join us to learn from the experiences of our panelists in finding suitable outlets for publishing AI-related interdisciplinary work, finding the right narrative styles based on your audience (when facing people from either of two disciplines), and related research challenges.
This panel is moderated by Fatemeh Mostafavi (PhD at AiDAPT Lab and Faculty of A+BE) and other members of the AI PhD Committee

Jie Yang (Faculty of Electrical Engineering, Mathematics & Computer Science)
Jie Yang is an assistant professor at TU Delft and the manager of the ICAI Lab GENIUS on Generative AI development and usage in large organizations. Before joining TU Delft, Jie was a scientist at Amazon (Seattle) and a senior researcher at the University of Fribourg (Switzerland). His research interests span computer science, AI ethics, and human-computer interaction, with a focus on developing human-centered computation for robust AI systems, especially for natural language processing (NLP) systems. His work has received six “best paper” awards or nominations at premier AI and information systems conferences, including ACM TheWebConf/WWW (both 2022 and 2023), AAAI/ACM AIES (2023), AAAI HCOMP (2022), ACM SIGIR (2024), and ACM HT (2017). His work finds application across a wide range of societal domains, via collaboration with medical centers, libraries, and industrial companies, and funded through national and international projects. Jie serves as an associate editor for the Journal of Human Computation and Frontiers of Artificial Intelligence, and regularly serves on the senior program committees of TheWebConf/WWW, AAAI, and CIKM.
Cristina Zaga (University of Twente)
Cristina Zaga is an Assistant Professor of Human-Centred Design group and DesignLab at the University of Twente. Cristina’s research aims to develop methodology to foster societal transitions towards justice, care, and solidarity. She has developed Responsible Futuring, a transdisciplinary approach to imagine future worth wanting and foster more-than human communities of belonging. She is currently working on approaches to Design for Resistance to contest and re-imagine the future of work and care with robots and AI. She leads the JEDAI network, a transdisciplinary collective, working towards mitigating the dehumanizing effects of AI and promoting social and environmental justice. Her award-winning work has received many accolades, including the NWO Science Price for DEI initiatives (2022), the Dutch High Education Award (2022), and the Google Women Techmaker Award and scholarship (2018). She was selected as top 3 Diversity Leaders in AI in the Netherlands.
Martin Sand (Faculty of Technology, Policy & Management)
Martin Sand works as an Assistant Professor of Ethics and Philosophy of Technology at TPM. He is interested in a broad range of topics from technological utopianism and justice to the problems of responsibility and moral luck in innovation. His work falls uncomfortable between philosophy and ethical research, Science and Technology Studies, Utopian Studies and Technology Assessment.
Seyran Khademi (Faculty of Architecture and the Built Environment))
Seyran Khademi is an Assistant Professor at the Faculty of Architecture and the Built Environment (ABE) at TU Delft, where she also serves as co-director of the AiDAPT Lab. Her interdisciplinary research integrates computer vision into architectural design, focusing on how data and deep learning can be applied to architectural representations—including drawings, renders, photographs, 3D models, and maps. In 2020, she was awarded a Research-in-Residence Fellowship at the Royal Library of the Netherlands, where she developed visual recognition tools for the children’s book collection. Prior to that, in 2017, she joined the Computer Vision Lab as a postdoctoral researcher on the ArchiMediaL project, developing computer vision and deep learning methods for the automatic detection of buildings and architectural elements in archival and street-view imagery. Seyran earned her Ph.D. in statistical signal processing and optimization from TU Delft in 2015. She continued her postdoctoral work in intelligent audio and speech algorithms before joining the computer vision lab. She holds an MSc in Signal Processing from Chalmers University of Technology in Gothenburg, Sweden, awarded in 2010.
Luciano Cavalcante Siebert (Faculty of Electrical Engineering, Mathematics & Computer Science)
Luciano Cavalcante Siebert is an assistant professor at TU Delft’s Faculty of Electrical Engineering, Mathematics, and Computer Science (INSY department/Interactive Intelligence group). His research focus is on Responsible Artificial Intelligence. Luciano serves as the director of technology at the the Centre for Meaningful Human Control and co-director of the AiBLE lab. His interdisciplinary research aims to develop practical methods to ensure AI remains under meaningful human control. By integrating ethical and human behavior theories, Luciano proposes interactive approaches that enable agents to elicit and align with human values and norms, while empowering humans to maintain control and responsibility.
Arkady Zgonnikov (Faculty of Mechanical Engineering)
Arkady Zgonnikov is an interdisciplinary cognitive scientist specializing in cognitive modeling of human behavior in human-robot interactions, with a particular focus on automated driving. He earned his MSc in Applied Mathematics from Saint Petersburg State University in 2009 and his PhD in Computer Science and Engineering from The University of Aizu in 2014. His early research concentrated on the mathematical modeling of intermittent motor control in human operators. In 2015, Arkady joined the Department of Psychology at the University of Galway as an Irish Research Council Postdoctoral Fellow, where he studied the response dynamics of decision making. In 2017, he returned to The University of Aizu to explore the interplay between decision making and motor behavior. In 2019, he joined the Department of Cognitive Robotics at Delft University of Technology as a postdoctoral researcher and was promoted to assistant professor in 2020. Arkady’s current research aims to understand human cognition in traffic interactions through both mathematical and data-driven modeling. He is deeply concerned with the ethical and societal impacts of robotics and AI technology, striving to develop concrete methods that empower humans to meaningfully control artificial intelligent systems.
