BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Mondai - ECPv6.15.17//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:Mondai
X-ORIGINAL-URL:https://mondai.tudelftcampus.nl
X-WR-CALDESC:Evenementen voor Mondai
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:Europe/Amsterdam
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20250330T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20251026T010000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20260329T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20261025T010000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20270328T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20271031T010000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=Europe/Amsterdam:20260506T090000
DTEND;TZID=Europe/Amsterdam:20260507T170000
DTSTAMP:20260417T123533
CREATED:20251217T183837Z
LAST-MODIFIED:20260415T094057Z
UID:10000255-1778058000-1778173200@mondai.tudelftcampus.nl
SUMMARY:Designing and Developing Ethically Aligned Defence AI
DESCRIPTION:Mondai | House of AI is pleased to host the\nDesigning and Developing Ethically Aligned Defence AI Conference\norganised by the ELSA Defense Lab\, in collaboration with the TU Delft Digital Ethics CentreAdvances in artificial intelligence (AI) are enabling military systems to operate in environments where uncertainty\, adversarial dynamics\, and time-critical decision-making are the norm rather than the exception. In such contexts\, ethical design cannot rely solely on predictable scenarios\, assumptions of human oversight\, or static rule-based constraints; rather\, it requires careful and substantial ethical programming and design to ensure that AI-enabled systems behave in alignment with moral and legal principles throughout their operational lifecycle. \nThis conference explores how ethically aligned military AI can be conceived\, designed\, and developed for deployment in uncertain\, adversarial\, and time-critical environments. Across two days\, contributors examine normative and methodological foundations related to the embedding of moral and ethical constraints during the early stages of the lifecycle of military AI systems. \nConference ProgrammeDay 1 – May 6 08.30 – 09.00 Walk in and Registration\n09.15 – 09.30 Welcoming Remarks \n09.30 – 10.15 From Principles to Practice: An Actionable Value-Based Risk Governance Dashboard for Defense AI by Jasper van der Waa\, Lotte Kerkkamp-de Rijcke and Birgit van der Stigchel (Netherlands Organization for Applied Scientific Research-TNO)\n10.15 – 11.00 Ethical Hazard Assessment: A Functional Approach to Assess Machine Learning Risks in Airborne Weapon Systems by Hauke Budig (Hamburg University of Technology)\, Volker Gollnick (Hamburg University of Technology)\, Nathan Gabriel Wood (Hamburg University of Technology / California Polytechnic State University San Luis Obispo /Center for Environmental and Technology Ethics – Prague) and Scott Robbins (Karlsruhe Institute of Technology) \n11.00 – 11.30 Break \n11.30 – 12.15 Meeting the Moral Responsibilities Associated with Dual-Use AI Through Three Practical Solutions by Daniel Trusilo (University of St. Gallen) and David Danks (University of Virginia)\n12.15 – 13.00 The Disinformation Bomb: Generative AI\, Deepfake Detection\, and the Industrialization of Deception by Mark Evenblij (DuckDuckGoose) \n13.00 – 14.00 Lunch Break \n14.00 – 14.45 Designing Responsible AI for Cognitive Warfare by Jurriaan van Diggelen\, Aletta Eikelboom\, Neill Bo Finlayson\, Jose Kerstholt\, Kimberley Kruijver (Netherlands Organization for Applied Scientific Research-TNO)\n14.45 – 15.30 Rights-Preserving Framework to Bot Detection in AI-Enabled Cognitive Warfare by Henning Lahmann (Leiden University) and Perica Jovchevski (Delft University of Technology) \n15.30 – 16.00 Break \n16.00 – 17.30 Keynote Lecture: Military AI\, Transdisciplinarity and the Politics of Design by Filippo Santoni de Sio (Eindhoven University of Technology) \nDay 2 – May 7 09.00 – 09.30 Walk in \n09.30 – 10.15 AI-Enabled Decision-Support Systems and the In Bello Trilemma: Recalibrating Feasible Precaution in Armed Conflict by Ann-Katrien Oimann (Tilburg University)\n10.15 – 11.00 Automated Adversariality: LLMs\, Objectivity\, and Autonomy in Intelligence Analysis by Nicholas Johnston (Delft University of Technology/ Netherlands Organization for Applied Scientific Research-TNO) and Martin Sand (Delft University of Technology) \n11.00 – 11.30 Break \n11.30 – 12.15 Sabotage and Espionage in Grey Zone Warfare: Responsible Data Integrated Threat Assessment of Shadow Fleet Activities by Liselotte Polderman-Borst (Leiden University / Delft University of Technology / Netherlands Defense Academy) and Stefan Buijsman (Delft University of Technology)\n12.15 – 13.00 Encoded Values: Tradeoffs in Programing Language and Development Methods for Military Software by Joshua S. Greenberg and Varija Mehta (Cornell University) \n13.00 – 14.00 Lunch Break \n14.00 – 14.45 Meaningful Human Control in C-UAS and Swarming Strike by Lennart Bult and Flip van Wijk (Emergent Swarm Solutions B.V.)\n14.45 – 15.30 Authority\, Accountability and AI: The Case for Indexed Alignment by Bryce Goodman (University of Oxford) \n15.30 – 16.00 Break \n16.00 – 17.30 Keynote Lecture: Empirical Perspectives on the Ethical Use and Development of Military AI by Christine Boshuijzen-van Burken (Netherlands Defense Academy / Eindhoven University of Technology) \nOrganisation \nPerica Jovchevski\, Post-doctoral Researcher in the section of Ethics and Philosophy of Technology at TU Delft.\nStefan Buijsman\, Associate Professor Responsible AI at TU Delft.
URL:https://mondai.tudelftcampus.nl/event/elsa-defense-designing-developing-ethically-ai/
LOCATION:Connect @Mondai | House of AI – Delft\, Molengraaffsingel 29\, Delft\, 2629 JD\, Netherlands
ATTACH;FMTTYPE=image/jpeg:https://mondai.tudelftcampus.nl/wp-content/uploads/sites/7/2025/12/TUD_Mondai_AI_GlobAIPol_networking.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Amsterdam:20260513T090000
DTEND;TZID=Europe/Amsterdam:20260513T110000
DTSTAMP:20260417T123534
CREATED:20260415T130215Z
LAST-MODIFIED:20260416T080145Z
UID:10000266-1778662800-1778670000@mondai.tudelftcampus.nl
SUMMARY:Information Session: AI-Hub Zuid-Holland x Breaking Barriers
DESCRIPTION:Information Session: AI-Hub Zuid-Holland x Breaking Barriers\n(The event will be held in English) \nAI-Hub Zuid-Holland and Breaking Barriers are proud to host a Information Session\, where participants have the opportunity to learn more about the Breaking Barriers programme and how it supports ambitious AI startups in overcoming growth challenges and scaling into successful international players. \nBreaking Barriers\nAs an AI startup\, you want to break through\, grow\, and make an impact. Building a pioneering company comes with many challenges. How do you attract follow-up funding to accelerate your growth? How do you find and retain top talent to achieve ambitions? And how do you ensure that your company reaches new and international markets? \nThe AiNed Breaking Barriers programme is designed to turn these kinds of challenges into opportunities. With a tailor-made program\, we support you in accelerating your growth path. Our goal? Strengthen the Dutch AI ecosystem in such a way that promising Dutch startups become successful international players. To achieve this goal\, we work together with valuable partners. \nAre you an AI startup or scale‑up interested in the program? The event is mainly invite‑only\, but we’re open to AI‑driven startups and scale‑ups who want to join the conversation. Register your interest and we’ll get in touch. \nAbout Breaking BarriersPreliminary Programme 09.00 – 09.30 Walk in \n09.30 – 10.15 Information for Start-ups from Zuid-Holland about Breaking Barriers \n10.15 – 11.00 Short pitches by the startups and matchmaking with Breaking Barriers \n11.00 End of programme \nKom in Contact\nVragen over dit evenement? Neem vooral contact met ons op! \nJoost Poort\nDirecteur Mondai | House of AI\nAI Innovation Lead TU Delft\nDario Turelli\nBusiness Developer Mondai | House of AI
URL:https://mondai.tudelftcampus.nl/event/breaking-barriers-2/
LOCATION:Mondai | House of AI – Delft\, Molengraaffsingel 29\, Delft\, 2629 JD
ATTACH;FMTTYPE=image/png:https://mondai.tudelftcampus.nl/wp-content/uploads/sites/7/2024/10/Zuid-HollandAI-kleur.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Amsterdam:20260527T130000
DTEND;TZID=Europe/Amsterdam:20260527T173000
DTSTAMP:20260417T123534
CREATED:20260417T080624Z
LAST-MODIFIED:20260417T092614Z
UID:10000267-1779886800-1779903000@mondai.tudelftcampus.nl
SUMMARY:Bloopers of Brilliance: When Science Goes Sideways
DESCRIPTION:Mondai | House of AI is happy to host the next edition of the AI PhD & Postdoc Spring Symposium\, together with the TU Delft AI Initiative and the AI PhD Committee! \nBloopers or Brilliance: When Science goes Sideways (De voertaal van dit event is Engels) \n\nAre you a PhD or postdoc researcher at TU Delft working on AI-related topics? You are cordially invited!  \n\nHosted on May 27th (13:00 – 17:30) at Panorama XL@Mondai | House of AI\, this year’s event is going to shake things up and focus on a less-talked-about side of science – embracing scientific failures! The event includes poster pitches\, an interactive panel discussion on the importance of negative results\, errors\, and failures in science\, keynotes from final year PhDs\, and the ever-important borrel. It’s an excellent opportunity to present your research (particularly what did not go to plan) and network with fellow AI-focused scholars across campus. \nProgramme (preliminary) 13:00 – 17:30 \n\nKeynotes & talks from final year PhDs working in/with AI at TU Delft\nPanel discussion on embracing scientific failure\nPoster market: You are invited to contribute to this event with your own poster and/or abstract! See poster requirements below. Final deadline for participating with hand in: May 18th\n\nThe afternoon session will end in a casual manner with drinks\, refreshments and an opportunity for networking. More details to be announced so keep an eye on this page for more updates on speakers and panellists! \nPosters and/or ‘failure’ abstract Researchers at all stages of their PhD and working in all different areas of AI are welcome: \n\nMachine learning and foundational AI techniques\nHuman-centered AI systems\nApplication of AI\nFairness\, bias\, legal\, and ethical considerations of AI\nEducation and AI\nDesign with AI\nReflexive and critical research on AI\nAnd more…\n\nPrizes for best poster and ‘failure abstracts’ to be announced! \nRequirements \nYou can submit either A) a poster with a short description of failure or B) a ‘failure abstract’\, aka a short description of the research you wanted to do\, but it didn’t quite work out. \n\nA) If you’re bringing a printed poster\, we request a short description of the efforts that went awry before the successful work. What went wrong in the project before it succeeded? It can be a misstep\, a small mistake\, or a significant error—it can be any way to show that the research is rarely a smooth process.\n\nB) Alternatively\, you can submit a short description explaining the intended goal and how it did not go to plan. Here\, you don’t have to have succeeded; it can be an idea that you eventually abandoned!  \n\n\nFor A) Poster A1 or A0 size \n\nPrinting is available via the AI Initiative for new posters in A0 format. Send in as PDF\, JPEG\, or PNG (portrait mode\, 300 DPI). \n\n\nFor A) and B)\, we expect abstract submissions of up to 300 words for both types. Send in as PDF or DOC(X).\nSubmissions can be made via the registration form available on this page\n\n\n\nRegister & submit your poster and/or ‘failure abstract’ by Monday\, 18 May. \nAny questions? Please contact the AI PhD Committee at AI-PhD-Committee@tudelft.nl \nSpeakers Keynotes & talks from final year PhDs \nModeling Discretization Error with the Bayesian Finite Element Method for Better Parameter Estimates by Anne Poot\nKeynote by Anne Poot (SLIMM Lab\, CEG)\nCan computation itself be probabilistic? In this talk\, I will give a crash course on the finite element method\, demonstrate the issue of discretization error\, and describe how this error can be modeled probabilistically. We will see that by reinterpreting the finite element method from a Bayesian point of view\, we can get better performance in downstream applications such as parameter estimation in inverse problems.\n \nCan neural networks design better structures faster? Neural parameterizations in topology optimization by Surya Manoj Sanu\n \nLayman talk by Surya Manoj Sanu (MACHINA Lab\, ME)\nAs engineers\, we constantly simplify problems so we can solve them faster. That’s why it sounds counterintuitive to add complexity to an already well-defined structural optimization problem. Why make things more complicated? In this talk\, we explore exactly that idea. We introduce an unsupervised neural network — the “extra complexity” — into a traditional topology optimization pipeline — the “simple” engineering workhorse. And surprisingly\, this added layer of intelligence can improve how we design structures. But\, as in all good science\, there’s not only the good. There’s also the bad — and sometimes\, the ugly and we will try to unpack all of this! \nSearch Machines for Architects by Casper van Engelenburg\nKeynote by Casper van Engelenburg (AiDAPT Lab\, A+BE)\nWhile image-based retrieval has drastically diversified the use cases of modern-day search engines\, their relevance judgments are far from optimal for disciplines like architecture\, which heavily rely on visual data that are fundamentally different from the natural photos most search engines are trained on. Where natural photo understanding focuses on appearance mainly (color\, texture)\, architectural drawing understanding is about understanding graphic-like drawings—floor plans\, sections\, axonometric projections\, etc.—that emphasize the composition and organization of the spaces that we live in. Therefore\, to accurately judge relevance between architectural drawings\, we must rethink what it means to be similar and explore how to train domain-specific models or fine-tune pretrained large vision models on architectural data. In this talk\, I will present several of our recent works that highlight advancements in floor plan representation learning and the necessity of building high-quality architectural datasets. \nTensor decompositions for the analysis of functional ultrasound data by Sofia Kotti\nLayman talk by Sofia Kotti (DeTAIL Lab\, EEMCS)\nFunctional ultrasound indirectly measures brain activity through changes in cerebral blood flow. Tensor decompositions provide a natural framework for analysing the acquired data by exploiting their multidimensional structure and expressing them in terms of latent components. This can help identify underlying spatial and temporal patterns in brain activity\, supporting improved interpretation of functional ultrasound measurements. \nPanel: Embracing Scientific Failure \nHow can we think about and practically approach our failures in science? And how can we make them visible through\, for instance\, documentation? \n\n\nThis panel explores what scientific failure really means across different disciplines\, from rejected papers and failed grant applications\, to broader personal and professional setbacks. Speakers reflect on how failure is defined within their fields\, share their own experiences at both an individual and disciplinary level\, and discuss how these moments have shaped their work. By examining not just the challenges but also the lessons learned\, the panel aims to highlight how failure can be an essential and productive part of the scientific process. \nDuring this panel discussion\, Elvire Landstra (Tilburg University)\, Agostino Nickl (A+BE)\, Nazli Cila (IDE)\, and Megha Khosla (EEMCS) will shed light on different definitions of ‘scientific failure’ and how to deal with them.
URL:https://mondai.tudelftcampus.nl/event/ai-phd-postdoc-symposium-bloopers-brilliance/
LOCATION:Panorama @Mondai | House of AI – Delft\, Molengraaffsingel 29\, Delft\, 2629 JD\, Netherlands
ATTACH;FMTTYPE=image/jpeg:https://mondai.tudelftcampus.nl/wp-content/uploads/sites/7/2025/10/TU250612_4059_0283_lowres.jpg
ORGANIZER;CN="Mondai | House of AI":MAILTO:mondai@tudelft.nl
END:VEVENT
END:VCALENDAR