Research projects
Here you can find a collection of research projects with involvement of DAI members.
Current Research Projects (8)
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ADAPT: Agentic Dynamic AI for Plant TechnologyJul 2026
This project aims to create self-learning multi-modal AI agents capable of reasoning across heterogeneous biological data and autonomously orchestrating bioinformatics tools.
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Joaquin Vanschoren
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OpenML-Next: Make OpenML great againJun 2026
This project aims to strenghten the impact and sustainability of the OpenML platform using modern technologies, improved open data, exhanced user experience, and community engagement.
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Joaquin Vanschoren
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Project Hippocampus: a next-gen platform for AI-driven scienceJun 2026
Project Hippocampus aims to seamlessly integrate OpenML, scientific data platforms, and high-performance compute infrastructure for frictionless AI-driven research.
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Joaquin Vanschoren
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MOSAIC: Electronic Components and Systems for our Automated Digital FutureSep 2025
MOSAIC aims to develop the next generation of electronic components offering superior cognitive system intelligence, efficiency, and robustness
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Joaquin Vanschoren
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ELLIOT: European Large Open Multi-modal Foundation ModelsJul 2025
ELLIOT aims to develop the next generation of open Multimodal Space-Time Foundation Models.
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Joaquin Vanschoren
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LLMs4EU: Large Language Models for the European UnionMar 2025
LLMs4EU aims to develop infrastructure to robustly evaluate and exploit open LLMs.
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Joaquin Vanschoren
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OpenEuroLLM: Open European Family of Large Language ModelsJan 2025
OpenEuroLLM aims to build an entirely open family of Large Language Models, publishing all data, code, and models in an open way.
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Joaquin Vanschoren
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ALFIE: Assessment of Learning technologies and Frameworks for Intelligent and Ethical AIOct 2024
ALFIE aims to harness AI responsibly with essential skills, ethical practices, and people-centered, trustworthy AI. Our AutoML platform streamlines AI evaluation, ensuring performance aligns with ethical standards and societal values. Together, we’ll build a transparent, democratic AI ecosystem for the public good.
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Joaquin Vanschoren
Finished Research Projects (12)
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TWINERGY: digital twin of a vertical farmJan 2026
TWINERGY aims to develop a digital twin of vertical farm including the next generation of plant monitoring technology to drive the future of climate control in vertical farming, with particular emphasis on the identification of new options to improve energy use efficiency of food …
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Joaquin Vanschoren
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AI4Europe - An AI on-demand platform for research excellence in EuropeDec 2025
The vision behind AI4Europe is to design and build infrastructure to bring together Europe’s existing and new computational resources, data, algorithms, software, services, platforms, and expertise, by offering a unified interface to all resources that will facilitate access and democratize Europe’s AI research and …
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Joaquin Vanschoren
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Inno4Health - Stimulate continuous monitoring in personal and physical healthJan 2025
Inno4Health aims to stimulate innovation in continuous monitoring in healthcare and sports. In healthcare, fitness monitoring provides information to patients and their treating physicians regarding the readiness associated with surgery and the ability to rapidly recover from invasive treatment. In top sports, fitness monitoring provides …
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Joaquin Vanschoren
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SkyHigh: Leveraging AI in Vertical FarmingJan 2025
Climate change, scarcity of fresh water, intensive pesticide use, mineral resource depletion, rapidly urbanising societies all challenge our food system to feed cities. To cope with these issues a farming revolution called vertical farming is starting. Vertical farming is a novel technology where plants …
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Joaquin Vanschoren
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TAILOR Network of AI ExcellenceSep 2024
TAILOR is an EU project with the aim build the capacity to provide the scientific foundations for Trustworthy AI in Europe. TAILOR develops a network of research excellence centres, leveraging and combining learning, optimisation, and reasoning. These systems are meant to provide descriptive, predictive, …
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Joaquin Vanschoren
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Robust ML for Advanced Visual Inspection of Rare Defects in Semiconductors ProductionFeb 2024
Deep Learning offers new possibilities for detecting subtle microscale defects in semiconductors. Yet even such a powerful tool, in its current form, has shown serious limitations when used in real world environments. Some of the major challenges that limit deployment of deep learning for …
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Joaquin Vanschoren
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DARPA D3M - Data-driven discovery of modelsNov 2021
Automating Data Science and Predicting Behavior through Empirical Models. The DARPA Data Driven Discovery of Models (D3M) program automates methods in data science to enable domain experts to incorporate their knowledge into the modeling process and create meaningful and valid predictive models of real, …
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Joaquin Vanschoren