Mondai

Symposium - Feminist AI: Shaping Ethical Futures
2024-11-19 14:00 - 17:00 (Europe/Amsterdam) | 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.

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.

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)

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!

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

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.

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.

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.

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!

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.

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.
(This event will be held in English)
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.

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!
(This event will be held in English)
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!

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.

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.
(This event will be held in English)
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).

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!

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.

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!

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.

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.

Workshop: Navigating the Interplay of Explainability and Privacy in AI
2024-02-08 08:00 - 2024-02-09 17:00 | 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!

Dutch Functional Programming Day 2024
2024-01-05 09:30 - 17:00 | Aula Conference Centre, Mekelweg 5, Delft, 2628CC, Nederland
TU Delft is set to host the coming Dutch Functional Programming Day!
The Dutch Functional Programming Day (also known as FP Day) is an annual gathering of researchers, students, and practitioners sharing a common interest in functional programming. The day features talks that cover the latest advances in research, teaching and applications in the area of functional programming and (implementation of) functional languages.
Coffee and lunch breaks provide ample opportunity for networking with your colleagues and meeting new people. Experts and newcomers to the field are equally welcome and colleagues from neighbouring countries are welcome to attend; the FP Day will be held in English.
For more information and registration, click the button below!
Go to Event Page

Machine Learning Teachers Get Together
2023-12-19 12:30 - 13:30 | Mondai | House of AI – Delft, Molengraaffsingel 29, Delft, 2629 JD
Mondai | House of AI is happy to host the Machine Learning Teachers Get Together!Programme
Filippo Santoni de Sio, Associate Professor in the Ethics of Technology (TPM), will lead the session to cultivate critical thinking in Machine Learning education. Join us to delve into discussions about Machine Learning teaching experiences, learning materials and gather useful tips and ideas.
Walk-in is 12:30 – 12:45, and the session starts 12:45 sharp!
During the meeting a free lunch will be served. If you have any allergy related dietary needs, please let the organiser know via email or by registering.
Register here!

DIR 2023
2023-11-27 09:00 - 18:00 | Mondai | House of AI – Delft, Molengraaffsingel 29, Delft, 2629 JD
Mondai | House of AI is happy to host the 21st Dutch-Belgian Information Retrieval Workshop on November 27, 2023!The 21st Dutch-Belgian Information Retrieval (DIR) Workshop is a forum where researchers and practitioners in Information Retrieval come together to connect, exchange ideas, and discuss the latest developments in IR and related research areas. DIR has an established tradition dating back to the year 2000, making DIR2023 the 21st edition. You can find an almost complete list of previous editions here.
You can find more information about the event, such as the schedule and the keynotes, on the event page. You can buy tickets via the designated Eventbrite. We hope to see you there!
Click here to go to the Event page!Click here to go to the Ticket page!

AI Lab Lunch: BioMorphic Lab & SensorAI Lab
2023-11-23 12:00 - 13:30 | Mondai | House of AI – Delft, Molengraaffsingel 29, Delft, 2629 JD
During this Lab Lunch the BioMorphic Lab and the SensorAI Lab will present themselves and their latest developments!
(This event will be held in English)
The BioMorphic Intelligence Lab is all about biologically inspired solutions for aerial robotics. Aerial robots are now ubiquitous. Thanks to their nimbleness, manoeuvrability, and affordability, drones are used in many sectors to monitor, map, and inspect. As a next step, flying robots offer more when interacting with their surroundings via anthropomorphic-like manipulation capabilities. Some overarching challenges remain for this new class of aerial robots, and solutions inspired by biology can be implemented across three key areas for robot performance: sensing their environment, processing this information, and acting upon the results.The BioMorphic Intelligence Lab aims to tackle robustness and efficiency challenges for interacting drones, using biologically inspired solutions for both the ‘body’ and the ‘brain’ and applying embodied intelligence and neuromorphic AI techniques.
The SensorAI Lab focuses on developing AI for Sensor Networks. Sensors are everywhere and technological advances have made sensors more available and more accurate over recent years, opening up many exciting applications. The field of sensor fusion focuses on combining data from different types of sensors in order to extract more information than that available from each sensor alone. AI can also be used: new models can be established using data from sensors and sensor networks. The Sensor AI Lab unites the fields of sensor fusion and AI, bringing physical knowledge into AI to enable the extraction of more information from available sensor data.

Register via the button above or below!Note for TU Delft PhDs
Per 4 seminars from the AI (-related) seminar series: Human-Centred Artificial Intelligence Systems (HCAIS) Deep Dive; and Delft AI Lab Lunches, PhD candidates from partaking TU Delft faculties can earn 0.5 GSC for up to 1.5 GSC (category: Discipline Related Skills). Check with your local Faculty Graduate School if they offer this option for earning GSC; and with your supervisors if they accept our seminars on your Doctoral Education list. If you already have form, don’t forget to bring it with you
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, two Delft AI Labs present their work and 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 2023 on: 19 January with HIPPO & AI DeMoS Lab | 16 February with BIOLab & DI_Lab | 23 March with MACHINA and SLIMM Lab | 20 April with AiBLE & AiDAPT Lab | 11 May with AidroLab & XAIT Lab | 21 September with AI Futures Lab & IRIS Lab | 26 October with DeTAIL & SELF LAb | 23 November with BioMorphic Lab & SensorAI Lab | 14 December AI Lab Lunch Christmas Special

AI Lab Lunch: DeTaiL Lab & SELF Lab
2023-10-26 12:00 - 13:30 | Mondai | House of AI – Delft, Molengraaffsingel 29, Delft, 2629 JD
During this Lab Lunch the DeTaiL Lab and the SELF Lab will present themselves and their latest developments!
(This event will be held in English)
DeTAIL is all about training & innovation in tensor-based AI methods for biomedical signals. Within the DeTAIL Lab, the team focuses on both the development of novel low-rank tensor methods and their application for biomedical signal processing, thereby enabling a much faster, and therefore more energy-sustainable, training of AI models from large datasets without any loss of accuracy.
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The SELF Lab is the Smart Edge Lab for Healthcare. Today’s AI solutions are extremely power-hungry and are unsuitable for energy-constrained Internet-of-Things (IoT)-edge devices. Deploying AI at the edge requires new computing engines with energy efficiencies 100 to 1000 times better than current state-of-the-art technologies. The SELF Lab targets the design and development of smart edge computing engines. They demonstrate their superiority for personalized healthcare, such as early epilepsy detection (a neurological disease that manifests as a brain-wide phenomenon).

Register via the button above or below!Note for TU Delft PhDs
Per 4 seminars from the AI (-related) seminar series: Human-Centred Artificial Intelligence Systems (HCAIS) Deep Dive; and Delft AI Lab Lunches, PhD candidates from partaking TU Delft faculties can earn 0.5 GSC for up to 1.5 GSC (category: Discipline Related Skills). Check with your local Faculty Graduate School if they offer this option for earning GSC; and with your supervisors if they accept our seminars on your Doctoral Education list. If you already have form, don’t forget to bring it with you
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, two Delft AI Labs present their work and 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 2023 on: 19 January with HIPPO & AI DeMoS Lab | 16 February with BIOLab & DI_Lab | 23 March with MACHINA and SLIMM Lab | 20 April with AiBLE & AiDAPT Lab | 11 May with AidroLab & XAIT Lab | 21 September with AI Futures Lab & IRIS Lab | 26 October with DeTAIL & SELF LAb | 23 November with BioMorphic Lab & SensorAI Lab | 14 December AI Lab Lunch Christmas Special

Design & AI Symposium 2023
2023-10-18 13:00 - 2023-10-19 17:30 | Mondai | House of AI – Delft, Molengraaffsingel 29, Delft, 2629 JD
Register HereWe invite you to the 2023 Design & AI Symposium where we are asking: How are designers shaping possible futures? The symposium will be held on the campus of TU Delft and is presented by the Faculty of Industrial Design Engineering. At this event, you’ll be able to join fellow designers and businesses to explore the intersection of design and the future of AI.
AI has captured the imagination of the public, science and industry, but it also poses new risks and potentials that are reshaping human relationships with technology, labor, creativity, and the environment. Can design help ensure that these systems are practical, just, sustainable and used for the benefit of society?

Program

Day 1 – Wednesday the 18th
13:00 – Welcome
13:15 – Panel – Shaping the Future(s)
Moderated by Maria-Luce Lupetti
Panelists: Baptiste Caramiaux, Cristina Zaga, Kars Alfrink, Grace Turtle
14:25 – Break
14:30 – Panel – Artefacts from the Future(s)
15:15 – Break
15:30 – Breakout Talks and Workshops
DCODE Live Podcast :Acts of interfacing, Mondai Room (ground floor)
Workshop 1, Next Level Room (ground floor)
Workshop 2, Next Serendipity (1st floor)
Talks 1 – Next 2U + Connection (1st floor)
17:00 – Wrap Up
17:15 – Drinks and Networking

Day 2 – Thursday the 19th
10:00 – Welcome
10:10 – Introduction – Importance of Design & AI
Stephan Wensveen, Professor Eindhoven University of Technology (TU/e)
10:15 – Keynote – The Future of Responsible AI by Design
Shalini Kurapati, PhD, CEO Clearbox AI
10:45 – Keynote – Future trends relevant to AI
Elsje van Niekerk, Co-Founder Oltmans van Niekerk
11:15 – Break
Interactivities & Demos, Mondai Room
11:30 – Breakout Talks and Workshops
Interactivities & Demos, Mondai Room (ground floor)
Workshop 3, Next Level (ground floor)
Workshop 4, Next Serendipity (1st floor)
Talks 2, Next 2U + Connection (1st floor)
12:45 – Catered Lunch
13:45 – Breakout Talks and Workshops
Interactivities & Demos, Mondai Room (ground floor)
Unconference, Next Level Room (ground floor)
Policy experiment: how can EU policies empower the crossover between design and AI? Next 2U + Connection (1st floor)
15:15 – Break
15:30 – Keynote – Imagining our Future, in Code
Kyle McDonald, Artist working with code
16:30 – Town Hall
17:15 – Wrap Up
17:30 – Drinks and Networking

Featured Workshops, Talks, Panels, and Demos

Day 1, Wednesday October 18
15:30
Workshops 1 & 2, Next Level Room (ground floor), Next Serendipity (1st floor)
Talks 1, Next 2U + Connection (1st floor)
DCODE Live Podcast : Acts of interfacing, Mondai Room (ground floor)

Day 2, Thursday October 19
11:15 to end of day
Interactivities & Demos, Mondai Room (Ground Floor),
11:30
Workshops 3 & 4, Next Level (ground floor), Next Serendipity Room (1st Floor)
Talks 2, Next 2U + Connection (1st floor)
13:45
Unconference, Next Level Room (ground floor)
Policy experiment: how can EU policies empower the crossover between design and AI? Next 2U + Connection (1st floor)

Register Here

Artificial Intelligence Minors Symposium
2023-10-04 14:30 - 17:30 | Mondai | House of AI – Delft, Molengraaffsingel 29, Delft, 2629 JD
Artificial Intelligence is rapidly changing the way we do research and the day to day operation in our profession inside and outside of academia. The field of Artificial Intelligence involves both the development of computational techniques and the societal impact of these techniques. Introducing these technologies into society will have a profound impact on future generations, and hence requires skilled professionals with understanding of AI. Erasmus University Rotterdam and TU Delft have developed AI minor programmes, each with its own approach, to prepare students for the role of AI in their future.
The aim of this symposium is to inform you about these AI minors that have been developed within the AI Convergence alliance. During this symposium we give short presentations about the different curricula and how they were aligned and developed in close collaboration with each other, while maintaining their own signature and emphasizing different views on AI.
After the presentations we want to discuss how future AI education could be developed in the next few years and how new collaborations could take shape. We would like to end this short symposium with drinks and some time to talk to one another.
Programme:
14.30 Walk-in at Mondai, TU Delft
14.45 Opening – Dr. Willem-Paul Brinkman (TU Delft, Computer Science)
15.00 Presentations AI Minors​

Erasmus University Rotterdam – Minor programme: AI in Society
TU Delft – Minor programme: Engineering with AI

15.45 Short break
16.00 Discussion about collaborative AI education
16.45 Drinks
17.30 End
We hope to see you at Mondai on October 4!
This event is organized by:
Workgroup AI Education in Convergence
Dr. Willem-Paul Brinkman (TU Delft)
Dr. Christoph Lofi (TU Delft)
Prof.dr. Evert Stamhuis (EUR)
Michele Murgia (EUR)
Susanne van Aardenne (TU Delft)
Wendy Jansen (TU Delft)

DynPOWER 2023
2023-09-25 09:00 - 19:30 | Mondai | House of AI – Delft, Molengraaffsingel 29, Delft, 2629 JD
7th International Workshop on Dynamic Stability Challenges of the Future Power Grids DynPOWER 2023
The 7th international workshop on dynamic stability challenges of the future power grids ‘DynPOWER’ will take place in Mondai | House of AI, Delft, Netherlands, on 25 September 2023. After a series of successful workshops in the past years in Winterthur, Switzerland, the organizing committee decided to bring the community together outside of Switzerland for the first time to discuss, interact, and work on some of the most pressing problems facing energy systems.
The 2023 workshop will cover a broad range of topics around power systems dynamics and applications of big data and machine learning to dynamic simulators in two separated sessions. The speakers will represent transmission system operators, leading technological companies and respected universities. The workshop will allow attendees to engage our speakers with real-time questions and discussions thanks to the hybrid modality.
This year we expect to host attendees on site, and as in our previous events, the presentations will be streamed to give access to our international audience that we have gained over the last years. Moreover, the 2023 edition has few novelties for the in-person attendees such as technical tours and one poster session where participants can have the chance to exhibit their own work.

Register on the Workshop page here!Programme
08:15 – 09:00 Registration, Reception, and Official Opening Ceremony by Jochen Cremer
09:00 – 09:15 Session 1 – Dynamic Stability Aspects, Chaired by Rafael Segundo & Petr Korba
09:15 – 09:55 “Power System Challenges and Needs due to the Energy Transition in the Netherlands” by Jorrit Bos, TenneT, Netherlands
09:55 – 10:35 “System Stability Rising Challenges, Overview of the French Situation” by Thibault Prévost, RTE, France
10:35 – 10:50 Break
10:50 – 11:30 “Development of a Nordic Wide Area Monotoring Platform for Co-ordinated Stability Movement” by Kjetil Uhlen, Statnett, Norway
11:30 – 12:10 “Technical Challenges for the Grid of the Future: Perspective of the Chilean System Operator” by Jaime Peralta, Cordinator Electrico Nacional, Chile
12:10 – 13:30 Techinal Tour of The Green Village and the Electrical Sustainable Powe Laboratory (ESP Lab) on TU Delft Campus
13:30 – 14:30 Lunch
14:30 – 14:45 Session 2 – Smart Algorithms for Stability Issues, Chaired by Jochen Cremer
14:45 – 15:25 “Harmonic Stability Assessment of the Hybrid Power Systems” by Aleksandra Lekic, TU Delft, Netherlands
15:25 – 16:05 “Real-time Simulation and HIL Testing for Power System Stability” by Kati Sidwall, RTDS, Canada
16:05 – 16:20 Break
16:20 – 17:00 “Dynamics of Ultra-High Share Inverter-Based Resource Power Systems: U.S. Case Studies” by Bri-Mathias Hodge, NREL, United States
17:00 – 17:40 “On Grid Restoration using Inverter-Based Generation” by Adolfo Anta, Austrian Institute of Technology, Austria
17:40 Drinks! And,
17:40 – 19:30 Poster Session, moderated by Mert Karacelebi, TU Delft, Netherlands
Technical Tour
For the in-person attendees, there is a technical tour that include the visits to the Green Village and Electrical Sustainable Power Laboratory, both located inside TU Delft campus, and are very close to each other.
The Green Village is a field lab for sustainable innovation in the urban environment where you can test on neighbourhood-, street- and building level. The Green Village is a place where people can live, work and learn, exempt of standard rules and regulations. More information can be found in the official website.
The Electrical Sustainable Power Laboratory is a facility containing high voltage equipment, Real Time Digital Simulators RTDS, state-of-the-art power electronics laboratory, photovoltaics, electromobility and many other things! Read more here.

Poster Session Are you working on solving dynamic stability challenges of the future power grids? Then come to share your work with us. This year we open a poster session invitation, where drinks and snacks will be prepared for all attendees to enjoy technical discussions and learn more about your work.
To participate in the poster session is very simple, please fill in the additional online form and follow the instruction (deadline to submit a poster was 15.09.2023)

Data-driven Innovations for the Energy Transition
2023-09-21 14:00 - 18:00 | Mondai | House of AI – Delft, Molengraaffsingel 29, Delft, 2629 JD
Join us for the Data-driven Innovation for the Energy Transition workshop!Mondai | House of AI is pleased to host the workshop, organised in collaboration with the NL AIC working group Energy & Sustainability, TU Delft Powerweb and the TU Delft AI Initiative.
(This event will be held in English)
During the workshop we look forward to bring together the Commit2Data community on energy with the NL AIC working group on Energy & Sustainability. The Commit2Data programme is coming to an end; the research and innovations its projects have delivered are worth exploring further. With this workshop we wish to present the research outcomes of the projects that focus on Energy and Big data. And together we want to determine the follow up research questions, the next innovation and the implementation steps.
By bringing together a community of experts, policy makers, companies and students that want to learn from these insights on big data applications we can close the gap between research, working and learning. Let’s work towards new collaborations!
Programme
14:00 – 14:30 Walk-in and Coffee
14:30 – 14:40 Welcome by Mathijs de Weerdt, chair of the NL AIC working group Energy & Sustainability
14:40 – 14:55 Talk by Marjan Popov on Protection of Electricity Networks through Simulation
14:55 – 15:10 Talk by Simon van Mourik on Flexible energy management in greenhouses
15:10 – 15:25 Talk by Eric Pauwels on Energy Intranets
15:25 – 15:40 Talk by Machteld van den Broek on Multidimensional Big Data Modelling
15:40 – 16:10 Break
16:10 – 16:25 George Rouwhorst on Neighborhood Energy & Data Management Integration System
16:25 – 16:40 Talk by Vincent Campfens (startup company Bluegen.ai) about the use of synthetic data for accelerating research and development of data-driven and AI techniques for the energy transition
16:40 – 17:10 Panel discussion moderated by Neil Yorke-Smith, lab manager of the Citizens and Society in the Energy Transition (CaSET) ELSA lab
17:10 – 17:15 Close
17:15 Drinks!
Register via the button above or below!
Commit2Data on Energy
Commit2Data is the national public-private research and innovation programme in the field of big data and applications. Started in 2015, the programme includes more than 50 projects, more than 200 private parties participate, and 83 PhDs, 57 postdocs, 5 TNO and 18 NLeSC engineers who work in the sub-programmes, among others. All universities in the Netherlands are involved in Commit2Data. Six of the multidisciplinary and collaborative projects focused on Energy and Big Data. The following will be presenting their work:

Protection of Electricity Networks through Simulation – Marjan Popov
Greenhouses as Flexible Energy Sources – Simon van Mourik
Energy Intranets – Eric Pauwels
Multidimensional Big Data Modelling – Machteld van den Broek
Neighborhood Energy & Data Management Integration System – George Rouwhorst

AI Lab Lunch: AI Futures Lab & IRIS Lab
2023-09-21 12:00 - 13:30 | Mondai | House of AI – Delft, Molengraaffsingel 29, Delft, 2629 JD
During this AI Lab Lunch the AI Futures Lab and the IRIS Lab will present themselves and their latest developments!
(This event will be held in English)
The AI Futures Lab is all about AI for Rights & Justice in Remore Work. This lab team explores configurations of people and AI around rights and justice, aiming to expand both scientific knowledge and public understanding of AI capabilities. The empirical research focus of this lab extends from remote work to robotics and security. Their goal is a tangible and vibrant set of prototypes, experiences and theories that map out ways in which design can be engaged to deploy AI and machine learning in support of rights and justice. By prototyping new relationships ‘WITH AI’ that are respectful of agency, rights, and justice, we will open up spaces for new developments ‘IN AI’.
The IRIS Lab (Intelligent & Reliable Imaging Systems) focuses on developing AI for quantitative bioimaging. This lab develops AI-based technology that improves microscopy methods for biomedical use. The technology will be demonstrated on electron, optical, and ultrasound imaging but is applicable much wider. It will be able to unravel biological processes, from a molecular level up to a much larger scale. IRIS demonstrate their AI-methodology in electron- and fluorescence-microscopy and ultrasound imaging, but aims to become a campus-wide resource for researchers in any quantitative imaging- and visualization-intensive field.

Register via the button above or below, before September 19!Note for TU Delft PhDs
Per 4 seminars from the AI (-related) seminar series: Human-Centred Artificial Intelligence Systems (HCAIS) Deep Dive; and Delft AI Lab Lunches, PhD candidates from partaking TU Delft faculties can earn 0.5 GSC for up to 1.5 GSC (category: Discipline Related Skills). Check with your local Faculty Graduate School if they offer this option for earning GSC; and with your supervisors if they accept our seminars on your Doctoral Education list. If you already have form, don’t forget to bring it with you
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, two Delft AI Labs present their work and 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 2023 on: 19 January with HIPPO & AI DeMoS Lab | 16 February with BIOLab & DI_Lab | 23 March with MACHINA and SLIMM Lab | 20 April with AiBLE & AiDAPT Lab | 11 May with AidroLab & XAIT Lab | 21 September with AI Futures Lab & IRIS Lab | 26 October with DeTAIL & SELF LAb | 23 November with BioMorphic Lab & SensorAI Lab | 14 December AI Lab Lunch Christmas Special
