“AI for Science! An interactive discussion on a new initiative”
This workshop aims at creating awareness and collecting feedback around a new initiative to support academic researchers with AI competence through a new company called AI4S AB (AI for Science), funded by Knut and Alice Wallenberg Foundation. We offer AI support to academic researchers with ongoing grants from the three largest Wallenberg Foundations for up to 6 months full time.
Workshop Organizer: Salla Franzén, CEO, AI4S AB

“What is the future of AI-supported precision medicine? Scrutinizing personalized care, equal treatment and disruption of knowledge”
The current development of AI-supported precision medicine, and personalization of medical knowledge and treatment, raises concerns about ethics and fair representation. This interdisciplinary workshop examines questions of ethics and knowledge in AI-supported precision medicine, including fairness, prioritization, and changing knowledge practices. The goal is to produce a discussion paper identifying policy proposals and issues in need of further cross-disciplinary discussion.
Workshop Organizer: Charlotte Högberg, PhD, Postdoc in Technology and Society, Lund University

“Unpacking Technology Through Interdisciplinary Reflection”
In this collaborative and hands-on workshop, we will introduce and lead participants through a series of reflective exercises known as the implosion method. This exercise outlines social and historical considerations around the responsibilities, concerns, and attentions of researchers working on and with technology. Workshop attendees are expected to learn a new method for reflecting on the socio-technical impacts of their research and making connections across disciplines.
Workshop Organizer: Derya Akbaba, Postdoctoral Researcher, Dept. of Computer Science, KTH

“Large Language Models in Conflict: Knowledge, Legitimacy, and AI”
Large language models contribute to the production of knowledge, such as ideas and recommendations. The accuracy and reliability of this knowledge remain questionable. What if these models contribute to the mass killing of people through mass surveillance? We ask: what does LLMs’ production of knowledge reveal about the ethical and legal dimensions of their use, given the untrustworthiness of their outputs? The discussion follows the ‘Jonsered model’
Workshop Organizer: Mais Qandeel, Associate Professor (Docent) of International Law / Law and Technologies, Örebro University

“Zero-Click Futures: Safeguarding Knowledge Pluralism in the Age of Generative AI”
Generative AI is reshaping how knowledge is accessed, synthesized, and trusted. This interactive workshop explores the rise of zero-click information environments and their risks for transparency, diversity, and epistemic justice. Participants will collaboratively design actionable principles for building responsible AI systems that protect knowledge pluralism, informational autonomy, and public trust.
Workshop Organizer: Selcen Ozturkcan, Associate Professor of Business Administration, Linnaeus University

“AI-Ready Data to enable collaborations across fields”
Modern machine learning methods open up opportunities for new discoveries, especially when researchers collaborate across fields. For example, a biologist may have collected a novel dataset and collaborate with an ML engineer to build new models. In this session, we will focus on AI-ready data – what it means in practice and how to prepare datasets so they can be shared, understood, and reliably used for AI applications.
Workshop Organizer: SciLifeLab Data Centre: Arnold Kochari, Project manager at Department of Immunology, Genetics and Pathology, Uppsala University

“Foundation models on European biomedical and healthcare data: ethical, legal, and technical pathways to life-course precision health”
This workshop explores how AI foundation models applied to biomedical and health data can enable personalized prevention and healthcare, considering critical questions of governance, transparency, bias, and clinical integration. We will jointly identify current technical, social, and ethical challenges to leverage foundation models for responsible, data‑driven healthcare in Europe and discuss them with an expert panel.
Workshop Organizer: Clemens Wittenbecher, Assistant Professor, Food and Nutrition Science, Life Sciences, Chalmers University of Technology

“Legal consciousness in the tech community”
How do tech professionals navigate law in real-world design choices? This workshop uses practical scenarios and small-group discussions to examine how programmers interpret, use, or resist legal norms alongside technical and organisational expectations. The session invites computer scientists, legal scholars, and social scientists to reflect on tensions, strategies, and pathways toward more legally conscious technology development.
Workshop Organizer: Katalin Kelemen, Associate Professor in Law, Örebro University

“SciLifeLab OMERO: A Collaborative HPC-Enabled Platform for Data-Driven Bioimaging Research”
This workshop introduces SciLifeLab’s national OMERO service – a tool to bridge the gap between data producers and methods developers by enabling collaborative access to (bio)imaging data sets. Built on the globally recognized, open-source, data management platform OMERO1 for the visualization, management, and sharing of biological microscopy images, SciLifeLab OMERO will offer active data storage connected to HPC resources.
Workshop Organizer: Sonja Mathias, Research Software Engineer & Project Lead at SciLifeLab Data Centre

“The Data of Circularity: Governing AI, Transparency, and Compliance in the Digital Product Passport (DPP)”
As the EU introduces the Digital Product Passport (DPP), this interactive workshop explores how product data can enable genuine circularity—beyond data-driven greenwashing—across production, post-production, and market use. Bringing together perspectives from AI, cybersecurity, governance, and sustainable branding, the workshop explores the technical and organizational challenges in building trustworthy, transparent, and compliant product data systems.
Workshop Organizer: Selcen Ozturkcan, Associate Professor of Business Administration, Linnaeus University

“What do I need for successful interdisciplinary research? Education as a collaborative exercise”
In this interactive workshop we will discuss what makes successful interdisciplinary research, including trust and leadership, fostering an environment where mistakes can be made, and creating a shared working language. Interdisciplinary groups will then create a mock educational experience on a challenging topic to explore how interdisciplinary collaboration in education can prepare young researchers to face global challenges.
Workshop Organizer: Kristen Schroeder, Scientific Training Officer, SciLifeLab 

“Uses and understandings of synthetic data in DDLS domains – a conversation about generation methods and use cases across DDLS, WASP & WASP-HS”
Synthetic data can mean widely varying things, which makes defining and evaluating it difficult. Likewise, it sometimes misaligns with other values, like objectivity, reproducibility and transparency. This workshop will discuss what synthetic data is, why it is useful, and what it does to the science it becomes embedded in. We will engage in hands-on, analogue activities to facilitate collaborative discussion.
Workshop Organizer: Ericka Johnson, Professor in Gender and Society, Linköping University

“The Art of Human-AI Collaboration and Teaming Research”
The art of Human-AI Teaming research is discovering and addressing the complications that matter, which unfold in real practice. New theory, tools and methods are required to capture the rich multi-agent setting including humans. The workshop is an excellent opportunity to expand on this research as a joint effort across expertise in the broad communities of WASP and WASP-HS.
Workshop organizer: Helena Lindgren, Co-Director WASP-HS, Professor in Computer Science, Umeå University

“What Is Adaptation? Bridging Life Sciences, Neuro-AI, and Machine Psychology”
Adaptation is central in biology, neuroscience, psychology, and AI – but often means different things. In this workshop, we compare key definitions and methods, from behavioral change to predictive learning and algorithmic information dynamics. Participants will map shared questions, clarify key research gaps, and identify promising cross-disciplinary directions at the intersection of society, life sciences, and technology.
Workshop Organizer: Robert Johansson, Associate Professor, Stockholm University