2026-05-19 –, Plenary room
Struggling to connect the right datasets, models, and computing resources for your AI projects? Discover how we are building a national infrastructure for AI-driven research! We aim to seamlessly link open data, powerful compute, and diverse communities to turn collaboration into something much greater than the sum of its parts.
We present Project Hippocampus, an NWO Open Science project to build a unified Dutch infrastructure for AI. At the core of this project is OpenML—a popular open-source platform where researchers globally share machine learning datasets, algorithms, and experimental results.
While OpenML excels at sharing knowledge, advancing modern AI requires connecting minds across different tools and computing environments. By integrating OpenML with major infrastructures like SURF, DANS, and Hugging Face, we are bridging silos to create a seamless ecosystem. This integrated Dutch platform acts as a shared "collective memory" for AI-driven science, making research highly transparent, reproducible, and accessible.
After this session, you will better understand:
* What OpenML is and how to use it to discover and share AI datasets, pipelines, and experiments.
* How we aim to connect these resources seamlessly with high-performance computational power at SURF.
* How to get involved and collaborate to grow the open science community around OpenML to address future research challenges together.
Target Audience: Researchers, data stewards, and research supporters passionate about collaborative open AI infrastructure.
Researchers that do AI research, or use AI in their research.
What is the key take away of your session?:We are building an interconnected Dutch infrastructure to facilitate the discovery and sharing of AI resources to accelerate research.
Joaquin Vanschoren is an associate professor at TU Eindhoven and leads the research group on Advanced Models through Open Research and Engineering (AMORE). He aims to scientifically understand and build AI systems with advanced capabilities, and make AI accessible to benefit all of humanity.
He founded OpenML, an open science platform to streamline and accelerate AI research. He was the inaugural chair of the NeurIPS Datasets and Benchmarks track, co-founder and editor-in-chief of the DMLR journal, co-chair of the MLCommons AI Risk & Reliability working group, and co-founder of the Croissant standard for AI datasets.
He is a founding member of the European AI societies ELLIS and CAIRNE, authored the first book on AutoML, gave tutorials at NeurIPS and AAAI, won several awards (including the Dutch Data Prize and Amazon Research Award), and has been interviewed for news articles in Nature, Science, and podcasts.
