Dr. Sergio Andreozzi is Head of Strategy, Innovation and Communications at the EGI Foundation, where he leads strategic planning, governance, and the development of EGI's business and innovation agenda. He recently co-authored the EGI Federation Strategy 2026–2030 and is lead editor of the Strategic Research, Innovation and Deployment Agenda (SRIDA) in the SPECTRUM project. He also contributes to the SCIANCE project, where EGI leads work on infrastructure roadmapping and communications for AI in science. Sergio holds an Executive Master in Management of Research Infrastructures (University of Milano-Bicocca), a PhD in Computer Science (University of Bologna), and an MSc in Computer Science Engineering (University of Pisa).
Title:
EGI's path towards an AI-ready Compute and Data Continuum for Research
Abstract:
Artificial intelligence is transforming the practice of science. From protein structure prediction to climate modelling and high-energy physics, AI techniques are accelerating discovery, enabling researchers to extract insights from datasets of unprecedented scale and complexity. At the same time, the infrastructure demand of AI-driven research (large-scale GPU computing, access to curated scientific datasets, and interoperable platforms) is growing faster than any single institution or country can address alone.
Europe is responding with a coordinated policy framework, the AI Continent Action Plan, and has launched RAISE (Resource for Artificial Intelligence Science in Europe) to establish a pan-European virtual institute that pools compute, data, and talent across two dimensions: advancing safe frontier models ("Science for AI") and applying AI to scientific disciplines ("AI in Science"). Together, these initiatives form an emerging ecosystem where sovereign infrastructure, open science, and AI converge. In this context, the SCIANCE project will drive the definition of a Strategic Research and Innovation Agenda (SRIA) to identify AI-in-science research and innovation priorities and related key infrastructure needs.
Within this broader context, the EGI Federation is evolving from a compute federation into Europe's AI-ready compute and data continuum for research. The recently published EGI Federation Strategy 2026–2030 defines three pillars for this transformation: 1) expanding the Compute Federation with AI-capable resources and scientific datasets; 2) removing the policy and funding barriers that limit cross-border service delivery; and 3) strengthening EGI as an innovation ecosystem. Recent and ongoing EGI flagship projects, including iMagine for AI-powered aquatic imaging, interTwin for AI-driven digital twins, the EOSC Data Commons and RI-SCALE's Data Exploitation Platforms, implement this strategy in practice. Moreover, through the SPECTRUM project, EGI and leading research communities are now co-designing a Technical Blueprint and a Strategic Research, Innovation and Deployment Agenda (SRIDA) for the future compute and data continuum.
This keynote will provide an overview of how AI is reshaping scientific research, outline the European policy response, and offer a deep dive into EGI's strategy and concrete contributions to democratising AI-enabled scientific computing across Europe and beyond.
