Mondai

Deep Dive Workshop - Contextualising AI Principles: Universal Guidelines or Domain-Specific Policy?
2025-11-14 09:30 - 12:30 (Europe/Amsterdam) | Connect @Mondai | House of AI – Delft, Molengraaffsingel 29, Delft, 2629 JD, Netherlands
Global AI Policy Summit Deep Dive Workshop
Contextualising AI Principles: Universal Guidelines or Domain-Specific Policy?Artificial Intelligence principles and guidelines have proliferated in recent years—transparency, fairness, accountability, and human oversight are widely endorsed. However, when we attempt to implement and operationalise these principles in specific domains, fundamental dilemmas emerge:
In crisis management: How do we balance the need for privacy with transparency when lives are at stake? Can we afford the time for human oversight in rapidly evolving disasters?
In education: How do we ensure fairness in AI-supported learning while respecting pedagogical autonomy and diverse learning needs?
In mobility: When does mandatory human oversight become a safety liability in time-critical traffic situations? How do we operationalize accountability when decisions are distributed across interconnected systems?
This workshop examines a fundamental question for AI policy: What principles have to remain generic across domains, and what should or must be contextualized? The EU AI Act attempts to address this through risk-based categories, but how well does this approach capture domain-specific tensions? Through structured dialogue across domains, we will map where universal principles break down, why contextualisation is necessary, and what this means for developing both sector-specific guidelines and cross-cutting policy frameworks.
Workshop Programme This workshop takes places in the “Connect @Mondai”
09.30 – 10.00 Opening & Domain Challenges.
Welcome and short presentations: What are the specific dilemmas when applying AI principles in crisis management, education, and mobility?
10.00 – 10.30 Plenary Principle Mapping.
Interactive session: Starting from the EU Ethics Guidelines for Trustworthy AI and the Dutch Value Compass: Which principles do we prioritize? Where do different domains face irreconcilable conflicts?
10.30 – 11.00 Coffee Break
11.00 – 12.30 Domain Deep Dives, Cross-Domain Synthesis, and Next Steps
> Structured discussions: Develop concrete scenarios where generic principles prove inadequate or create harm, or where additional principles are needed. What makes each domain different? What adaptations are needed?
> Bringing insights together: What patterns emerge? Where is universality possible, and where is contextualization essential?
> Discussion of potential collaborative outputs and future dialogue
Speakers Moderator:

Tina Comes, Scientific Director DLR Institute for the Protection of Terrestrial Infrastructures; Professor in Decision Theory & ICT for Resilience, Delft University of Technology

Expert Speakers:

Thomas Kox, Head of Research Group “Digitalisation and Networked Security”, Weizenbaum Institute for the Networked Society
Arkady Zgonnikov, Assistant Professor, Human-Technology Interaction and Centre for Meaningful Human Control, Delft University of Technolog
Duuk Baten, Advisor on Digitalisation and AI in Education, SURF

Symposium: Feminist AI and Collective Wellbeing
2025-11-18 10:00 - 2025-11-19 17:00 | Next: Delft, Molengraaffsingel 8, 2629 JD, Delft, 2629 JD, Netherlands
In the ‘Feminist AI and Collective Wellbeing’ symposium, we invite researchers, artists, and practitioners to explore and contest the promises and pitfalls of AI in shaping collective wellbeing.

Promises of AI include better societal wellbeing through improved healthcare, relieved workloads, or efficient usage of natural resources. Yet not everyone’s wellbeing counts evenly, as AI simultaneously depends on and disrupts collectivity, for instance, through its pressure on shared environmental resources, worker health, and data exploitation and extractivism. How can we reimagine these dynamics, and centre collective wellbeing so that it becomes a basis for caring and sustaining relationships around AI development and implementation?
Our goal is not to provide definitive answers or fixed definitions of wellbeing and collectivity, but to open a shared space for inquiry, provocation, and speculation. By foregrounding feminist, decolonial, and ecological perspectives, we aim to imagine futures in which AI development and adoption are aligned with collective wellbeing.
The symposium invites participants to explore how these relationships and entanglements might be reimagined, and how AI can be critically reshaped, reoriented, or even refused in pursuit of more collective and caring futures.
Through international keynotes and a workshop on art-based AI inquiry, we invite participants to reflect on these questions:

What collectives are prioritized in the development of AI? Whose wellbeing is valued, and whose is erased to maintain the wellbeing of others?

How can communities engage with AI on their own terms? What material resources, infrastructures, or type of data would they need to do so?

What collective futures and imaginaries might we create together, rooted in shared wellbeing rather than extractive logics?

Can AI ever be truly aligned with collective wellbeing, or are there cases where the most ‘caring’ act might be to refuse or resist AI altogether?

Register Here18 November – Part 1 | 10.00 – 15.00
Workshop on art-based AI inquiry for collective knowledge generation
Organizers: Feminist Generative AI Lab with Virginia Tassinari and Vera van der Burg
Guests: Soyun Park, Mafalda Gamboa, and Elvia Vasconcelos.
In this workshop, we explore art-based inquiry as an alternative form of knowledge generation, which can complement and enrich traditional approaches to research in AI. We invite participants to engage with new, unusual, artistic, and embodied forms of exploration, to reflect on the symposium theme.
Please note that the workshop has limited spots. Lunch is included.
18 November – Part 2 | 15.00 – 17.00
Keynotes + Discussion + Drinks
Please note you can choose to register only to this part of the symposium.
Register Here19 November | 10.00 – 17.00
PhD Day
Following the symposium on November 18th, we invite PhD candidates to join us for a dedicated day of peer exchange, collaborative feedback, and dialogue. The PhD Day offers PhD candidates working on topics such as AI, feminism, care, collectivity, sustainability, digital labor, and related themes an opportunity to continue explore the theme of the symposium in relation to their own research themes and practices in an interdisciplinary environment.
The PhD day program will include peer review sessions that allow participants to share work in progress and to receive feedback from their peers; interactive activities that addresses the challenges of working as a PhD researcher; as well as community building and networking opportunities.
More info on PhD Day

Digitale soevereiniteit van EU Recht in het tijdperk van BigTech
2025-11-25 15:00 - 18:00 | TU Delft The Hague Campus, Bezuidenhoutseweg 63, Den haag, 2594 AC, Netherlands
Het Center for Law, Design & AI (een samenwerking van de TU Delft en Erasmus School of Law) organiseert 25 november
Digitale soevereiniteit van EU Recht in het tijdperk van BigTech (Beperkt aantal plaatsen beschikbaar)
Wat is het belang van digitale soevereiniteit bij de inzet van AI in de juridische sector en wat is de invloed AI en Big Tech op de rechtstaat?
Deze onderwerpen bediscussieren we graag met alle verschillende spelers in de juridische sector, zoals advocatenkantoren, legal tech firms, rechtspraak.
Details:
25 november
15 – 18 h
TU Delft The Hague Campus
Bezuidenhoutseweg 63
Den haag, 2594 AC

Programma
15.00 – Inloop
15:30 – 15:50 Introductie:

Center for Law, Design & AI – Cees Zweistra, Peter Lloyd
Digitale soevereiniteit en implicaties voor recht
Is soeverein ‘by design’ mogelijk?

15:50 – 16:30 – 10 min introductie door elke spreker

Pels Rijcken – Sandra van Heukelom-Verhage
Rathenau Instituut – Quirine van Eeden
TNO – GPT-NL – Lieke Dom
Bits of Freedom – Lotje Beek – Bits of Freedom

16:30 – 16:40 – Pauze
16:40 – 17:10 – Begeleide paneldiscussie
17:10 – 17:30 – Q&A – open voor publieke discussie
17:30 – 18:00 – Borrel

Best AI-Related MSc thesis Award 2025
2025-11-27 14:30 - 17:00 | Mondai | House of AI – Delft, Molengraaffsingel 29, Delft, 2629 JD
Mondai | House of AI and the TU Delft AI Initiative are happy to host
the AI-Related MSc Thesis Awards 2025!The Best AI-Related MSc Thesis Award (short: AI Thesis Award) is a new award that celebrates outstanding master’s research at TU Delft dedicated to development, application or contexts of artificial intelligence. Master’s students from all faculties participated with their finished thesis, on condition that research is centered around or involves AI. The prize will be awarded in two categories: IN AI for research that advances AI itself, and WITH AI for research that applies AI in a specific domain. One TU Delft graduate will be selected in each category after the top 3 candidates pitch their thesis at this award ceremony.
Programme
14.30 – Walk-in
15.00 – Opening
15.15 – Thesis pitches
16.15 – Break + walk-in alumni community
16.30 – Award ceremony & Kick Off Alumni Community for AI, Data & Digitalisation
17.00 – Network drinks
Finalists Best AI-related MSc Thesis Award 2025
Category IN AI

Krzysztof Piotr Baran (Computer Science @Faculty of EEMCS): Federated MaxFuse: Diagonal Integration of Weakly Linked Spatial and Single-cell Data through Federated Learning
Prajit Bhaskaran (Computer Science @Faculty of EEMCS): Transformers Can Do Bayesian Clustering
Simon Gebraad (Robotics @Faculty of ME): LeAP: Label any Pointcloud in any domain using Foundation Models

Category WITH AI

Antonio Magherini (Civil Engineering @Faculty of CEG): JamUNet: predicting the morphological changes of braided sand-bed rivers with deep learning
Isa Oguz (Management of Technology @Faculty of TPM): Victim Blaming Bias in Traffic Accidents Using Large Language Models
Jeroen Hagenus (Robotics @Faculty of ME): Realistic Adversarial Attacks for Robustness Evaluation of Trajectory Prediction Models

AI Alumni Community Kick Off
If you only want to attend the launch of the AI Alumni Community, the walk-in is between 16:15 -16:30 and borrel starts around 17:00
During this event, we also launch the new AI, Data and Digitalisation Alumni Community (short: AI Alumni Community). By connecting TU Delft alumni across generations, disciplines and sectors, we aim to unlock new opportunities for innovation, strengthen the bridge between research, application and societal value, and shape a digital future that benefits everyone. This community is open to all past, present and future TU Delft alumni with an interest in or background in AI, data and digitalisation. Community members include graduates from bachelor’s and master’s programmes as well as PhD alumni from across the university.

AI Cup 2026
2026-02-13 09:00 - 18:00 | Mondai | House of AI – Delft, Molengraaffsingel 29, Delft, 2629 JD
AI Cup 2026
Powered by Team Epoch and AIC4NL This year, Team Epoch – the AI Dreamteam – is organising their first AI Cup. The AI Cup 2026 is a new nationwide competition uniting the Netherlands’ brightest minds to tackle real-world challenges from society with AI. While most AI competitions prioritize model accuracy, AI Cup 2026 will also evaluate the implementation proposal. AI Cup is open to all students and recent graduates from Dutch universities. The team is currently working on the preparation of the competition platform and finalizing the technical setup. On February 13th the competition kicks off, with Nomination Day taking place on March 28th and the Award Ceremony at the AIC4NL Congress on April 14th.
Information and Registration AI Cup 2026Build meaningful AI
You design, train an implementable AI system that solves a real sustainability or societal challenge. Compete on a fair playing field
Designed for students. No GPU arms race, no hidden metrics, no leaderboard tricks. Show yourself on a national stage
Compete against top engineering & AI students from 5+ universities – and present at the Dutch AI Congress from AIC4NL. WHO CAN JOIN
AI Cup is open to all students and recent graduates from Dutch universities. You don’t need to be an AI expert, but you should be excited to learn, build, and compete. The teams will be composed of 1-5 people per team. Please have everyone on your team register.
Looking for team members? We’ll help you!

TU Delft AI Lunch: AI Regulations (and how to work within them)
2026-02-19 12:00 - 13:30 | Panorama @Mondai | House of AI – Delft, Molengraaffsingel 29, Delft, 2629 JD, Netherlands
Mondai | House of AI is happy to host the new edition of the TU Delft AI Lunch:
AI Regulations (and how to work within them)
This edition of the Delft AI Lunch is focused on AI Regulations and how to work within them. Contributing to the panel discussion are:

AI Act expert Hannah Ruschemeier (prof. of Public Law at Universität Osnabrück),
Empirical law expert on GDPR Julia Krämer (PhD at EUR),
Data steward Nicolas Dintzner (TPM Faculty), and TBA cybersecurity law expert.

Marie-Therese Sekwenz (TPM, AI Futures Lab) is moderating the panel.
This event includes free lunch for which registration is required (help us reduce food waste!)
(This event will be held in English)
Programme
12.00 – 12.30 | Lunch & networking
12.30 – 13.30 | Panel AI Regulations and how to work within them: moderated by Marie-Therese Sekwenz, featuring Hannah Ruschemeier, Julia Krämer, and Nicolas Dintzner
The Delft AI (Lab) Lunch series
This series is part of the Delft AI (Lab) Lunches, a recurring meet-up hosted by the TU Delft AI Labs & Talent community at Mondai | House of AI.
Every session, we host a panel to discuss challenges and developments made at the intersection of AI and a specific field. During these events, you can participate, learn, make connections, inspire and be inspired by and with the Delft AI Community. We invite all interested staff and students from TU Delft to join these sessions. Please contact community manager Charlotte Boelens for more information about this series or the TU Delft AI Labs & Talent Programme.
Note for TU Delft PhDs
The TU Delft AI Lunch series is eligible for earning discipline related skills GSC with the ‘Form for earning GSC for TU Delft AI(-related) seminars’. Check with your local Faculty Graduate School (FGS) if your FGS offers this option for earning Discipline Related Skills GSC; and with your supervisors if they accept our seminars on your Doctoral Education (DE) list. If you already have a form, don’t forget to bring it with you.

Towards Democratized Academic LLM Hosting
2026-03-16 10:00 - 17:30 | Mondai | House of AI – Delft, Molengraaffsingel 29, Delft, 2629 JD
Towards Democratized Academic LLM Hosting
A 4TU Joint Workshop on Local Inference Infrastructure (hosted at TU Delft) Large Language Models (LLMs) have become core research infrastructure for academia, underpinning research, education, and innovation across disciplines. Across Dutch and European academia, multiple initiatives are currently underway to host, operate, and govern LLMs locally, driven by concerns around data sovereignty, sustainability, cost, transparency, and responsible use.
This 4TU.NIRICT-funded workshop brings together currently siloed academic hosting initiatives across Dutch institutions (eg, Delft, TU/e, VU, WUR, SURF) to foster knowledge exchange, technical alignment, and collaboration around LLM inference infrastructure.
The workshop addresses LLM hosting as a socio-technical challenge, spanning infrastructure and deployment models, energy efficiency, governance and operational sustainability, tooling ecosystems, and integration into research and education. It lays the groundwork for a coordinated, academic-first Dutch ecosystem for responsible, open LLM hosting.
Full Programme March 16 10.00 – 10.30 Welcome and Registration
10.30 – 10.35 Opening Remarks
10:35-11:20 Keynote 1 - Alexandre Strube – Lessons from the Blablador project
In this talk, we will show some of the challenges and lessons learned while hosting an LLM inference service. BLABLADOR has been running as a single-man-operation for most of its existence, until very recently.
This talk is more of a conversation, where we will explore themes such as:

Reliability
Software Ecosystem and evolution
From small clusters to supercomputers to cloud: quite a messy journey
Who can use it and handling user abuse
Advertising the service
Choosing which models to offer
Political consequences of model choice
How to convince management that it’s worth it
Present and future of the service
JAIF and JARVIS: An AI factory for Blablador
Questions from the audience

Dr. Alexandre Strube

Maintainer of LMod, the Supercomputers’ module system
Maintainer of FastChat
Ubuntu Member, Debian Developer

Dr. Alexandre Strube has been employed at the Juelich Supercomputing Centre for approximately 15 years. During this time, he has engaged in a diverse range of activities, encompassing raw performance modeling, supercomputer benchmarking, and teaching, among many others. Notably, he has been a member of the Helmholtz AI consultants team since 2019, where he has contributed to the democratization of artificial intelligence within academic institutions.
Dr. Strube has been responsible for the development, hosting, and maintenance of BLABLADOR, the LLM inference infrastructure for the Helmholtz Foundation and German Academia, for approximately four years.
11.20 – 11.35 Coffee Break
11:35-12:35 Breakout Sessions (Round 1)
Morning (Round 1)

Energy consumption: Benchmarking approaches; power-aware optimization strategies
Governance & Operational Sustainability: Service creation pathways; Financing and maintenance models; Security, privacy, and access control; Architectural quality assurance
Tooling around model hosting: Monitoring and observability; guardrails and safety layers; RAG and MCPs; Service abstractions to end-users

12.35 – 13.35 Lunch
13:35-14:20 Keynote 2 - Julio Alexandrino de Oliveira Filho – National perspectives and GPT-NL
GPT-NL is a national initiative to build a large language model grounded in the Dutch language, culture, and public values from scratch. Beyond delivering a performant model, the GPT-NL project set out to explore what it means in practice to develop a sovereign language model—one that is transparent, inclusive, compliant with Dutch and European law, and embedded in a broader public-interest ecosystem.
This keynote reflects on the practical experiences accumulated throughout the GPT-NL project in building such a model while simultaneously fostering a diverse and sustainable LLM community. Drawing on lessons learned during data acquisition, curation, and training, the talk will discuss legal and regulatory considerations, approaches to fair and lawful data use, and the organizational challenges of aligning academic, public, and commercial stakeholders. We give special attention to infrastructure-related questions, including large-scale training, hosting, customization, and the role of shared HPC and hosting facilities in enabling broader participation.
Beyond the model itself, the keynote will examine how the GPT-NL project has sought for community building across researchers, LLM and AI developers, data providers, legal experts, infrastructure operators, and application developers—both nationally and in a broader European context. The talk will outline envisioned application domains, strategies for responsible dissemination, and open research directions that arise when a language model is treated as a shared societal asset rather than a closed product.
By sharing successes, open challenges, and unresolved questions, this keynote aims to contribute concrete insights to the discussion on democratized academic LLM community and to inform future national and European efforts toward sovereign, community-centered language models.
Dr. Rer Nat. Julio A. de Oliveira Filho researches and develops the next generation of intelligent autonomous systems—spanning robotics, quantum networks, IoT sensor systems, automotive technologies, and modern Defense applications.
As the leading architect of GPT-NL, the first Dutch-English large language model trained fully from scratch, and one of the creators of NetSquid, the world’s most widely used quantum network simulator, Julio thrives at the intersection of advanced AI, complex systems, and cutting-edge engineering.
He is passionate about elevating AI engineering into a mature discipline—where autonomous systems are not only powerful, but reliable, safe, and explainable by design.
14.20 – 14.25 Room Change
14:25-15:25 Breakout Sessions (Round 2)
Afternoon(Round 2)

Accelerate production-ready LLM deployment using commercial solutions: Why is this relevant: Possible use cases; NVIDIA AI Enterprise; Microsoft AI Foundry
Education & Research Use Cases: Practical implementations; researcher-education feedback loops; implications for curricula; Policy & ethics considerations
Infrastructure & Deployment: Utilization strategies; deployment models: on-prem, shared, and hybrid

15.25 – 15.40 Coffee Break
15:40-16:40 Panel Discussion: Future of AI & LLM/model hosting in the Netherlands and Europe
A moderated discussion with academic leaders and national stakeholders exploring how academic institutions should position themselves in a rapidly evolving landscape shaped by national and European initiatives, open and proprietary models, emerging AI hubs, and increasing policy attention. Particular emphasis will be placed on the quality, governance, and sustainability of LLM services in an academic context.
16.40 – 17.40 Borrel & Networking
Speakers Alexandre Strube (Helmholtz AI) - Keynote 1
In this talk, we will show some of the challenges and lessons learned while hosting an LLM inference service. BLABLADOR has been running as a single-man-operation for most of its existence, until very recently.
This talk is more of a conversation, where we will explore themes such as:

Reliability
Software Ecosystem and evolution
From small clusters to supercomputers to cloud: quite a messy journey
Who can use it and handling user abuse
Advertising the service
Choosing which models to offer
Political consequences of model choice
How to convince management that it’s worth it
Present and future of the service
JAIF and JARVIS: An AI factory for Blablador
Questions from the audience

Dr. Alexandre Strube

Maintainer of LMod, the Supercomputers’ module system
Maintainer of FastChat
Ubuntu Member, Debian Developer

Dr. Alexandre Strube has been employed at the Juelich Supercomputing Centre for approximately 15 years. During this time, he has engaged in a diverse range of activities, encompassing raw performance modeling, supercomputer benchmarking, and teaching, among many others. Notably, he has been a member of the Helmholtz AI consultants team since 2019, where he has contributed to the democratization of artificial intelligence within academic institutions.
Dr. Strube has been responsible for the development, hosting, and maintenance of BLABLADOR, the LLM inference infrastructure for the Helmholtz Foundation and German Academia, for approximately four years.
Julio Alexandrino de Oliveira Filho (TNO) - Keynote 2
Dr. Rer Nat. Julio A. de Oliveira Filho researches and develops the next generation of intelligent autonomous systems—spanning robotics, quantum networks, IoT sensor systems, automotive technologies, and modern Defense applications.
As the leading architect of GPT-NL, the first Dutch-English large language model trained fully from scratch, and one of the creators of NetSquid, the world’s most widely used quantum network simulator, Julio thrives at the intersection of advanced AI, complex systems, and cutting-edge engineering.
He is passionate about elevating AI engineering into a mature discipline—where autonomous systems are not only powerful, but reliable, safe, and explainable by design.
Sovereign Language Models in Practice: The GPT-NL Endeavour in LLM Community Building
GPT-NL is a national initiative to build a large language model grounded in the Dutch language, culture, and public values from scratch. Beyond delivering a performant model, the GPT-NL project set out to explore what it means in practice to develop a sovereign language model—one that is transparent, inclusive, compliant with Dutch and European law, and embedded in a broader public-interest ecosystem.
This keynote reflects on the practical experiences accumulated throughout the GPT-NL project in building such a model while simultaneously fostering a diverse and sustainable LLM community. Drawing on lessons learned during data acquisition, curation, and training, the talk will discuss legal and regulatory considerations, approaches to fair and lawful data use, and the organizational challenges of aligning academic, public, and commercial stakeholders. We give special attention to infrastructure-related questions, including large-scale training, hosting, customization, and the role of shared HPC and hosting facilities in enabling broader participation.
Beyond the model itself, the keynote will examine how the GPT-NL project has sought for community building across researchers, LLM and AI developers, data providers, legal experts, infrastructure operators, and application developers—both nationally and in a broader European context. The talk will outline envisioned application domains, strategies for responsible dissemination, and open research directions that arise when a language model is treated as a shared societal asset rather than a closed product.
By sharing successes, open challenges, and unresolved questions, this keynote aims to contribute concrete insights to the discussion on democratized academic LLM community and to inform future national and European efforts toward sovereign, community-centered language models.
Corry Wouters (TU/e) - Panelist
Corry Wouters is CIO and Director of Library & Information Services at Eindhoven University of Technology (TU/e). With over 30 years in commercial tech and healthcare, she has led major digital transformations in EHRs, secure interoperability, and data governance, delivering scalable, secure services. At TU/e, she drives digital innovation to support education, research, and societal impact. In 2025, she was named one of the most innovative leaders in the Netherlands.
LinkedIn
Arie van Deursen (TU Delft) - Panelist
Arie van Deursen is a professor in software engineering at the department of Software Technology in the faculty of Electrical Engineering, Mathematics, and Computer Science. He served as head of department from 2016-2023, and presently chairs the Software Engineering Research Group (SERG).
He is scientific co-director of AI4SE, a five year collaboration between JetBrains and TU Delft investigating novel use of artificial intelligence in software engineering. This lab hosts 10 PhD students, dozens of MSc and Bsc students, and many TU Delft faculty members and JetBrains specialists.
He is co-founder of two companies: The Software Improvement Group (2000) and PerfectXL (2010).
Damian Podareanu (SURF) - Panelist
LinkedIn
Niels Taatgen (RUG) - Panelist
Read all about Niels and his work on the infopage of RUG
Dr. Thijs van der Plas (WUR)
Thijs van der Plas is a postdoctoral AI researcher at Wageningen University & Research in the newly formed AI group. He currently works on ecological data integration in the Dutch LTER-LIFE project and on explainable AI in the ESA-funded AETHER project. Thijs has a background in physics at Radboud University, holds a DPhil in computational neuroscience from the University of Oxford and worked as Research Associate at the Alan Turing Institute. He currently builds multimodal and explainable AI methods for monitoring biodiversity at scale, as well as LLM systems for improving data management.
Link additional info

Bijeenkomst AI Gigafactory Rotterdam
2026-03-24 12:30 - 15:30 | Panorama @Mondai | House of AI – Delft, Molengraaffsingel 29, Delft, 2629 JD, Netherlands
Mondai | House of AI en de AI-hub Zuid-Holland, samen met Volt,
nodigen je graag uit voor deze bijeenkomst over de AI Gigafactory in Rotterdam(de voertaal van dit event is Nederlands)
AI ontwikkelt zich razendsnel. AI-technologieën en innovaties worden breed toegepast in industrie, publieke diensten en onderwijs. Vragen over de positie van Nederland en Europa in deze ontwikkeling houden iedereen bezig; hoe vormen we onze digitale toekomst en autonomie?
Op dinsdag 24 maart hosten Volt, initiatiefnemer van de Europese AI-Gigafactory in Rotterdam, de AI-hub Zuid-Holland en TU Delft – Mondai | House of AI een bijeenkomst over de realisatieplannen voor de AI-Gigafactory. Tijdens de sessie staat gesprek over het belang van ontwikkeling van zulke infrastructuur centraal. Niet alleen voor de regio, voor Nederland, en voor Europa, maar ook voor de soevereiniteit van jouw organisatie. Daarnaast vormen we ook graag beeld van potentiële use-cases uit jouw (toekomstige) praktijk en de vertaling daarvan naar compute-behoeften en ondersteunende faciliteiten in de AI-Gigafactory.
Meer weten over de AI-Gigafactory? Lees verder op de pagina van Volt. Dit event is op uitnodiging, maar we staan zeker open voor alle stakeholders die onderdeel willen zijn van dit gesprek. Meld je aan, dan komen we in contact.
Programma
12.30 – 13.00 Inloop en Ontvangst met lunch
13.00 – 13.15 Opening en Introductie door Joost Poort namens TU Delft | Mondai House of AI en de AI-hub Zuid-Holland;
13.15 – 13.45 Presentatie van de plannen voor en voortgang van de AI-Gigafactory in Rotterdam door Han de Groot namens Volt;
13.45 – 14.30 Inzichten rond AI & Compute in verschillende praktijken

Erick Webbe, CEO – Kickstart AI,
Sven Hamelink, Hoofd Science & Technology – Politie,
Erik Scherff, CIO | IT-director TU Delft.

14.30 – 15.30 Discussie onder begeleiding van moderator Tom Jessen
Kom in ContactVragen over de AI Gigafactory? Neem vooral contact met ons op!
Joost Poort
Directeur Mondai | House of AI
AI Innovation Lead TU Delft
Han de Groot
CEO Volt
Initiator van de AI-Gigafactory

AI4b.io Annual Symposium 2026
2026-04-13 - 2026-04-14 | Mondai | House of AI – Delft, Molengraaffsingel 29, Delft, 2629 JD
AI4b.io Annual Symposium 2026We are excited to invite you to the fifth AI4b.io Symposium, where cutting-edge Artificial Intelligence meets the complex challenges of Bioscience. Taking place in the vibrant city of Delft, this year’s symposium is themed: Living Systems and Learning Machines: Shaping the Future of Bioscience
This year’s symposium is hosted by Mondai, House of AI, located in Delft. This free of charge event offers a unique platform to exchange ideas, present innovative research, and forge meaningful connections across academia and industry. Whether you’re advancing theoretical frameworks or driving practical applications, this symposium fosters collaboration to push the frontiers of AI in bioscience.
What to Expect
Immerse yourself in two days of:

Inspiring Presentations and Posters: Dive into diverse topics ranging from large-scale factory scheduling to the genetic manipulation of microorganisms.
Engaging Interdisciplinary Discussions: Explore the intersection of AI and bioscience across fields like:

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

Experience the power of AI at the AI4b.io symposium, featuring today’s most advanced techniques—machine learning, deep learning, and generative AI—transforming ideas into impact.

Confirmed invited speakers

Halima Mouhib | Towards Artificial Olfaction
Associate Professor at Vrije Universiteit Amsterdam
Lukas Sgenger | A Digital Platform for the Design, Control and Scale-Up of Bioprocesses
Chemical Engineer at SimVantage GmbH

Showcase Your Work
Submit your abstracts, open for selection, to present your research orally or via a poster session. Deadline for submission is February 12th 2026. (abstract template)
Poster pitches
A dedicated time slot for poster pitches has been scheduled on Day 2 to help draw attention to the posters. Presenters have the opportunity to give a brief 2-minute pitch summarizing their work before the poster session begins. Participation is optional, and slides will be compiled into a single presentation for smooth transitions. The poster session will follow immediately after the pitches.
Why Delft?
Delft, renowned for its historic charm and innovation culture, provides the perfect backdrop for this event. Conveniently located near major airports:

Schiphol Airport: Direct train connection (~40 minutes) to Delft’s main station
Rotterdam Airport: 20-minute taxi ride to the city center

Information and Registration AI4b.io Symposium

The Dutch AI Congress 2026
2026-04-14
Impact with AI, the Fair Tech wayOn Tuesday, April 14, 2026, AIC4NL will again organize The Dutch AI Congress at DeFabrique, Utrecht. The national stage where government, knowledge institutions, business and start-ups together give direction to the application of responsible AI in the Netherlands.
With the theme “Impact with AI, the Fair Tech way,” this edition revolves around one central question: how do we use AI to create social and economic value, without losing the human touch?
The conference offers:

A plenary morning program with highly topical keynotes and panel discussions.
Two rounds of breakout sessions on policy, technology and practice.
A plenary closing session with insights, interaction, and inspiration.
A diverse exhibition floor featuring startups, AI initiatives, and creative AI applications.
A pleasant networking event.

This is a paid event. AIC4NL participants will receive discounted or free tickets. More information will follow soon.
AIC4NL Congres 2026

Designing and Developing Ethically Aligned Defence AI
2026-05-06 09:00 - 2026-05-07 17:00 | Connect @Mondai | House of AI – Delft, Molengraaffsingel 29, Delft, 2629 JD, Netherlands
Mondai | House of AI is pleased to host the
Designing and Developing Ethically Aligned Defence AI Conference
organised 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.
This 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.
Conference ProgrammeDay 1 – May 6 08.30 – 09.00 Walk in and Registration
09.15 – 09.30 Welcoming Remarks
09.30 – 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)
10.15 – 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)
11.00 – 11.30 Break
11.30 – 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)
12.15 – 13.00 The Disinformation Bomb: Generative AI, Deepfake Detection, and the Industrialization of Deception by Mark Evenblij (DuckDuckGoose)
13.00 – 14.00 Lunch Break
14.00 – 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)
14.45 – 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)
15.30 – 16.00 Break
16.00 – 17.30 Keynote Lecture: Military AI, Transdisciplinarity and the Politics of Design by Filippo Santoni de Sio (Eindhoven University of Technology)
Day 2 – May 7 09.00 – 09.30 Walk in
09.30 – 10.15 AI-Enabled Decision-Support Systems and the In Bello Trilemma: Recalibrating Feasible Precaution in Armed Conflict by Ann-Katrien Oimann (Tilburg University)
10.15 – 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)
11.00 – 11.30 Break
11.30 – 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)
12.15 – 13.00 Encoded Values: Tradeoffs in Programing Language and Development Methods for Military Software by Joshua S. Greenberg and Varija Mehta (Cornell University)
13.00 – 14.00 Lunch Break
14.00 – 14.45 Meaningful Human Control in C-UAS and Swarming Strike by Lennart Bult and Flip van Wijk (Emergent Swarm Solutions B.V.)
14.45 – 15.30 Authority, Accountability and AI: The Case for Indexed Alignment by Bryce Goodman (University of Oxford)
15.30 – 16.00 Break
16.00 – 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)
Organisation
Perica Jovchevski, Post-doctoral Researcher in the section of Ethics and Philosophy of Technology at TU Delft.
Stefan Buijsman, Associate Professor Responsible AI at TU Delft.

Bloopers of Brilliance: When Science Goes Sideways
2026-05-27 13:00 - 17:30 | Yes! Delft, Molengraaffsingel 12, Delft, 2629 JD, Netherlands
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!
Bloopers or Brilliance: When Science goes Sideways (De voertaal van dit event is Engels)

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

Hosted on Wednesday May 27th (13:00 – 17:30) by Mondai | House of AI at YES!Delft (=updated location), 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.
Programme 13:00 – 17:30

Keynotes & talks from final year PhDs working in/with AI at TU Delft
Panel discussion on embracing scientific failure
Poster 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 21st. Deadline for participating without poster and/or abstract: May 26th

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

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

Prizes for best poster and ‘failure abstracts’: for each a 3-month X subscription!
Requirements
You can choose to participate in this symposium with or without a poster and/or failure abstract. Deadline for posters and abstracts is May 21st.
You 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.

A) 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.

B) 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!

For A) Poster A1 or A0 size

Printing is available via the AI Initiative for new posters in A0 format. Send in as PDF, JPEG, or PNG (portrait mode, 300 DPI).

For A) and B), we expect abstract submissions of up to 300 words for both types. Send in as PDF or DOC(X).
Submissions can be made via the registration form available on this page

Register & submit your poster and/or ‘failure abstract’ by 21st of May.
Any questions? Please contact the AI PhD Committee at AI-PhD-Committee@tudelft.nl
Speakers Keynotes & talks from final year PhDs
Modeling Discretization Error with the Bayesian Finite Element Method for Better Parameter Estimates by Anne Poot
Keynote by Anne Poot (SLIMM Lab, CEG)
Can 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.

Can neural networks design better structures faster? Neural parameterizations in topology optimization by Surya Manoj Sanu

Layman talk by Surya Manoj Sanu (MACHINA Lab, ME)
As 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!
Search Machines for Architects by Casper van Engelenburg
Keynote by Casper van Engelenburg (AiDAPT Lab, A+BE)
While 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.
Tensor decompositions for the analysis of functional ultrasound data by Sofia Kotti
Layman talk by Sofia Kotti (DeTAIL Lab, EEMCS)
Functional 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.
Panel: Embracing Scientific Failure
How can we think about and practically approach our failures in science? And how can we make them visible through, for instance, documentation?

This 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.
During 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.

Panel: Embracing scientific failure

How can we think about and practically approach our failures in science? And how can we make them visible through, for instance, documentation?
This 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.
During 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.

Panellist: Agostino Nickl (Faculty of A+BE)
Agostino Nickl is Assistant Professor of Architectural Intelligence in the Design, Data and Society Group at TU Delft.
A digital architect and scholar, he develops architectural approaches to artificial intelligence, both computationally and conceptually. His doctoral dissertation at ETH Zurich, subtitled ‘An Architect’s Guide to Latent Space’, explores how computational models can serve as instruments of imagination and invention rather than mere automation.
He has served as Visiting Professor at the Politecnico di Milano and as Senior Teaching Fellow at UCL and has taught theory seminars and design studios at ETH Zurich, the Bartlett School of Architecture, and the Oxford School of Architecture. For several years, he worked at Arup’s Digital Studio in London, an interdisciplinary strategic design team focused on innovation and digital transformation. His work has received numerous distinctions, including the Saint-Gobain Innovation Prize, the Bartlett School of Architecture Medal, the Sir Banister Fletcher Medal, the ETH Architecture & Technology Fellowship, and a nomination for the ETH Dissertation Medal.
Panellist: Nazli Cila (Faculty of IDE)
Nazli Cila is an Associate Professor in the Department of Human-Centered Design at the Industrial Design Engineering Faculty.
Her research explores how designers, computer scientists, and policy makers can critically engage with AI by developing conceptual frameworks and design methods that promote reflection, responsibility, and imagination in human-AI interactions. She co-directs the AI DeMoS Lab, an interdisciplinary initiative that examines how AI technologies impact democratic practices and how they can be designed in ethically and socially responsible ways.
Panellist: Megha Khosla (Faculty of EEMCS)
Megha Khosla is an Assistant Professor in the Multimedia Computing Group within the Intelligent Systems Department at TU Delft.
Her research focuses on developing explainable and privacy-preserving machine learning methods, with a particular emphasis on structured and relational data such as graphs. She was recently awarded the NWO Vidi grant to investigate the intricate relationship between explainability and privacy in AI systems.
Prior to joining TU Delft, she was a Senior Researcher at the L3S Research Center and Leibniz University Hannover, Germany. She has led several collaborative projects both in academia and in the industry where she spent a three-year stint after her PhD.
Panellist: Elvire Landstra (Tilburg University)
Elvire Landstra is a postdoctoral researcher in Epidemiology at Tilburg University. She obtained a BA in Liberal Arts & Sciences from University College Utrecht (cum laude) and an MSc in Population Health from University College London (with distinction). In 2025, she completed her PhD magna cum laude at the German Center for Neurodegenerative Diseases in Bonn, where her research focused on lipidomics in human health.
In her current role, she works on the more applied side of epidemiology, developing lifestyle interventions for people with type 2 diabetes. In addition to her research, she serves as Editor for the Life Sciences section of the Journal of Trial and Error.
Her research interests lie at the intersection of epidemiology, omics, and lifestyle, with a focus on translating complex biological insights into practical health solutions.

iTanks & AI Port Center iAsk Pitch event: Digitalisering, Automatisering en Robotisering
2026-05-28 14:00 - 18:00 | Panorama @Mondai | House of AI – Delft, Molengraaffsingel 29, Delft, 2629 JD, Netherlands
Mondai | House of AI en het AI Port Center hebben het genoegen het iAsk Pitch event | Digitalisering, Automatisering, en Robotisering powered by Rabobank gezamenlijk te hosten met iTanks! (De voertaal van dit event is hybride; grotendeels Nederlands, sommige onderdelen in het Engels)

Met de iAsk Pitch Events creëren we een platform waar innovaties direct impact kunnen maken in de haven- en industriesector. Dankzij de steun van Rabobank kunnen veelbelovende ideeën daadwerkelijk groeien en de regio vooruit helpen.”

– Cor, directeur van iTanks
AI Port Center richt zich op praktijk onderzoek en innovatie op al deze gebieden in het brede havenecosysteem rond grote transities zoals autonoom transport & logistiek, energie transitie en de toekomst van werk. Tijdens deze sessie zal een keynote verzorgd worden door David Abbink, hoogleraar haptic human-robot interaction en wetenschappelijk directeur van FRAIM, een transdisciplinair onderzoeks- en innovatiecentrum dat werk aan de toekomst van fysiek werk. Naast de keynote zullen er enkele inspirerende voorbeelden van AI-ontwikkelingen getoond worden die onder de vlag van AI Port Center worden uitgevoerd. Denk hierbij aan gebruik van Generative AI en LLM om (maritieme) engineering kennis vast te leggen en bruikbaar toegankelijk te maken.
Daarnaast krijgen vernieuwende start-ups de kans om hun idee te pitchen voor een vakjury én het netwerk van AI Port Center en iTanks. Laat je inspireren door de keynote en luister naar pitches van innovatieve startups. Natuurlijk is er ook volop gelegenheid om te netwerken en kennis uit te wisselen!
Meer te weten komen over toekomst van de haven? Schrijf je hier in!Programma 14.00 – 14.30 Inloop
14.30 – 16.30 Programma

Welkom door Tim Meijster, Innovatiemanager AI voor AI Port Center, Mondai | House of AI, en Tom Mulder, iTanks.
Keynote door David Abbink
Innovatiepitches van Start-ups
Pitches AI Catalyser projecten AI Port Center

16.30 Networkborrel en Innovatievloer
“Wat robotica en innovatie kan betekenen voor duurzame inzetbaarheid in de havens” door David Abbink, professor Haptic Human-Robot Interaction De impact van innovatie op productiviteit en werk in de havens zal de komende jaren aanzienlijk zijn. De belofte kan echter alleen ingelost worden als we goed inzicht hebben in welke technologie, waar een succesvolle bijdrage kan gaan leveren. David Abbink werkt met zijn organisatie FRAIM exact aan dit vraagstuk: hoe kunnen we technologie en specifiek robotica inzetten om in kritieke sectoren werk productiever te maken, en dit werk tegelijkertijd aantrekkelijk en betekenisvol te houden. Hij presenteert voorbeelden van activiteiten waar mogelijk kansen liggen voor innovatie, maar ook bespreekt hij welke uitdagingen en noodzakelijke inspanningen werken aan “de toekomst van werk” met zich meebrengt. Hierbij komen zaken als mens-machine interactie in automatisering en robotica ter sprake met een stevige link naar de praktijk.
AI Port Center presenteerd AI Catalyser projecten What do we, research and industry, need to kick-start research ideas? To answer this question the AI Port Center sponsors AI Catalysers: small projects to test a Proof-of-Concept together with the industry. Some projects are also co-founded and are the basis for future proposals for research projects.
Bridging Law and Engineering: Explainable AI for Maritime Navigation
This project addresses one of the biggest barriers to AI adoption: trust, accountability and regulation in autonomous shipping. A projects that shows that to achieve succesful AI innovation we must combine technology, governance and explainability.
Project Lead: Nikos Kougiatsos, Postdoctoral Researcher Transport Engineering and Logistics at TU Delft.
Cyber Vulnerability in Maritime Technology
A reminder that increasing digitalization also creates new risks; resilience and cyber security must grow alongside AI adoption. This project explores how innovation is only valuable when it is secure, responsible and robust in practice.
Project Lead: Albert Veenstra, Professor of Trade & Logistics at Erasmus University Rotterdam.
Maritime Engineering Knowledge Preservation with AI
This project uses AI to unlock decades of engineering expertise and prevent loss of valuable tacit knowledge across the sector. In this project AI is put to work as an enabler of productivity, learning and smarter decision-making, while keeping human expertise central.
Project Lead: Haluk Akay, Assistant Professor of AI-driven computational design at TU DElft.
Geïnspireerd door de mogelijkheden, en nieuwsgierig naar hoe verder? Schrijf je hier in!
