Constructor University Bremen (CUB) and Constructor Knowledge Labs (CKL) are engaged in SCIANCE, a Horizon Europe Coordination and Support Action supporting the development of the Resource for AI Science in Europe (RAISE).

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SCIANCE is designed to strengthen Europe’s capacity for AI enabled scientific research by bringing together a consortium of European research organisations, infrastructures and networks to align approaches to data, computing, skills and governance across scientific domains.

Today, the Constructor University Bremen and CKL team is participating in SCIANCE activities focused on Infrastructure Scenarios and Cooperation Mechanisms, working in close coordination with other consortium partners to examine how future research infrastructures can be structured to support the integration of AI into scientific research in a coherent and sustainable manner.

At this session, Mariia Snigireva, Executive Director of CKL, and Isak Frumin, Head of the Observatory of Higher Education Innovations at the School of Business, Constructor University Bremen, are engaged in joint discussions with peers from across the SCIENCE consortium, addressing key institutional and infrastructural conditions for AI enabled science. These exchanges focus on access to data and computing resources, interoperability between research infrastructures, governance models and long term cooperation across scientific communities.

Andrey Ustyuzhanin, Professor of Computer Science at Constructor University Bremen, represents the materials science perspective, bringing expertise at the intersection of AI methods, data intensive research and advanced scientific applications.

The joint involvement of Constructor University Bremen and CKL reflects a collaborative role within a broader European consortium, supporting SCIANCE’s objective of shaping the future RAISE framework on the basis of real research practices, institutional experience and cooperation models developed collectively across participating organisations.

We see SCIANCE as an important step towards a coherent European approach to AI in science, strengthening connections between research infrastructures, scientific communities and policy processes, and supporting responsible, impactful and collaborative AI driven research across Europe.