ESS/MAX IV/SciLifeLab Summit 2025

Programme

Moderator: Maria Borelius

9.00 Welcome!

• Katarina Bjelke, Director General, Swedish Research Council
• Cecilia Sjöberg, Head of Division, Vinnova
  

9.25–9.45 Getting data unstuck

• Anders Mikkelsen, Professor, Lund University
• Filip Lenrick, Senior lecturer, Lund University
• Rachid M’saoubi, Senior R&D Expert, SECO Tools

9.45–10.10 Our strategies on AI and data

• Helmut Schober, Director General, ESS
• Olof Karis, Director, MAX IV
• Jan Ellenberg, Director, SciLifeLab

10.10–10.20 Resources for data sharing, analysis and visualisation

• Kajsa M Paulsson, Vice Director, InfraVis
• Eva Stensköld, Director, Swedish National Data Service

10.20–11.00 Coffee and speed dating

11.00–12.30 Mini hearing: Handling data from Large-Scale Research Infrastructures

How do research infrastructures like ESS, SciLifeLab and MAX IV meet growing demands for open data, AI integration, and high-quality data management? This session explores how researchers, infrastructure leaders, and funders collaborate to shape the future of data-driven research environments where openness and security go hand in hand.

11.00–11.25 Data Sharing Policies and Legislation

This panel focuses on how policy development, legislation, and collaboration between facilities can address the challenges of open, secure, and reusable data—highlighting perspectives from SciLifeLab, ESS, MAX IV, and funding agencies.

• Chris Erdmann, Head of Open Science, SciLifeLab
• Pascale Deen, Head of the Spectroscopy Division, ESS
• Joachim Schnadt, Science Director, MAX IV
  
• Malin Sandström, Senior Research Officer, Swedish Research Council

11.25–11.45 Balancing Data Quality vs. Data Quantity

The discussion centres on the tension between generating large volumes of data and ensuring high-quality, usable outputs. What strategies help infrastructures support both high throughput and expert-driven excellence?

• Marjolein Thunnissen, Assistant Professor, MAX IV
• Henrik Birkedal, Professor, Aarhus University

11.45–11.50 Short break

11.50–12.10 AI Integration in Data Analysis

This segment looks at how AI can improve the full analysis pipeline—from experimental planning to publication—and what infrastructure developments are needed to support advanced, trustworthy AI applications.

• Alun Ashton, Head of Science IT Infrastructure and Services (AWI) Department, Paul Scherrer Institute
• Pablo Villanueva Perez, Associate Professor, Lund University

12.10–12.30 Community Influence and Data-Centric Approaches

The final panel in this session emphasizes the importance of collaboration between academia, industry, and infrastructures in building sustainable, user-driven ecosystems for data management and AI-enabled analysis.

• Magnus Hörnqvist Colliander, Associate professor, Chalmers
• Shirin Nouhi, Group Manager, Swerim
• Supriya Chitale, Open Source Program Office Manager, IKEA

12.30–13.15 Lunch

13.15–13.20 The Loop

Daniel Fex, Director Business Development South, Vectura

13.20–13.30 LINXS

Trevor Forsyth, Director LINXS

13.30–15.00 Mini Hearing: Supporting users with data analysis and visualisation

How can research infrastructures better support users with data-driven analysis, visualization, and AI tools? This session highlights user needs, technological solutions, and organizational models that enable effective and accessible data workflows across academia and industry.

13.30–13.50 User Needs in Data Analysis and AI

This panel addresses user needs in data analysis and AI, focusing on how tools and services can be tailored to both academic and industrial users to ensure ease of use and impact.

• Ola Spjuth, Professor, Uppsala University
• Erik Lindahl, Director, NAISS
• Anna Stenstam, CEO, CR

13.50–14.10 Data Mining

The discussion explores responsible and reusable data mining practices in both research and industry, and how AI can help uncover new patterns without compromising data integrity.

• Phil Ewels, Senior product manager for OSS, Seqera
• Eskil Andreasson, Technology Specialist, TetraPak
• Fredrik Bolmsten, Group leader Scientific Information Management Systems, ESS

14.10–14.20 Short break

14.20–14.40 Written Documentation and Data Storage

This panel examines the long-term security of documentation and data storage in a digitized research environment, and the policies and technologies needed to ensure transparency and traceability.

• Karin von Wachenfeldt, CEO and co-founder at Truly Labs and Truly Translational
• Kostas Tsirigos, Head Research Data Management, DTU Biosustain

14.40–15.00 FAIR and Open Data

The concluding segment addresses how FAIR data principles can be implemented in practice, what incentives are needed for metadata sharing, and how collaboration can drive a more open scientific landscape.

• Anne Sofie Fink, Head of Data Management, Danish e-infrastructure Consortium
• Stefan Ekman, Senior Advisor, Swedish National Data Service

15.00–15.30 Coffee and speed dating

15.30–16.00 The future of AI and visualisation

• Amy Loutfi, Program Director, Wallenberg AI, Autonomous Systems and Software Program

16.00–16.30 Action points going forward

• Lisbeth Olsson, Secretary General, Research Infrastructures, Swedish Research Council