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DTSTART;TZID=Europe/Stockholm:20260507T090000
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SUMMARY:Research Opportunities at the Intersection of Society\, Life Sciences\, and Technology
DESCRIPTION:A Joint Conference between DDLS\, WASP and WASP-HS\nUniting Sweden’s life science\, machine learning and artificial intelligence communities\, we welcome researchers from all disciplines to explore new research opportunities in a changing world.    \nParticipants will have the opportunity to network\, be inspired by excellent international keynote speakers\, and take part in the latest research in Sweden. In addition to plenary keynotes\, the program will offer a panel discussion\, a poster session and ample time to mingle.  \nPractical Details\nDatesMay 7-8\, 2026  \nVenueUppsala Konsert & Kongress \n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				Keynotes\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n					Maja Fjaestad\n					\n					Adjunct Associate Professor\, Department of Computing Science\, Umeå University \n					\n				\n			\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n					Olli Kallioniemi\n					\n					Research Director at FIMM University of Helsinki\, Professor of Molecular Precision Medicine at Karolinska Institutet and SciLifeLab \n					\n				\n			\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n					Danica Kragic\n					\n					Professor at the School of Computer Science and Communication at the Royal Institute of Technology\, KTH \n					\n				\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				Preliminary Conference Program\nThe program may be subject to change. \n			\n			\n				\n				\n				\n				\n				\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				Thursday\, May 7\n09.00  Registration opens (coffee) + poster hanging \n10.00  Opening Remarks:Program Directors from the three Research Programs \n10:15-11:00  Keynote “Algorithmic rule: AI and the future of democracy”Maja Fjaestad\, Strategic Advisor to the Executive Leadership at Karolinska Institutet\, Adjunct Professor at Luleå University of Technology \n11:00-11:30  Flash Talks: Future Ideas at the Intersection of Society\, Life Sciences & TechnologyPhD Students and Post Docs from the three Research Programs \n\n\n11:30-12:30 Parallel Workshops\, Session 1 \n12:30-13:45  Lunch \n13:45-14:20  Keynote “A plan for the Finnish Health Data Space (FHDS) in the AI era: Navigating  health\, data\, legal\, social and political aspects”Olli Kallioniemi\, Research Director at FIMM\, University of Helsinki\, and Professor of Molecular Precision Medicine at Karolinska Institutet and SciLifeLab \n14:20-15:15  Panel: Initiatives in the NordicsArto Klami\, Professor of Computer Science at University of Helsinki. Part of the Helsinki Probabilistic Machine Learning Lab\, the Finnish Center for Artificial Intelligence FCAI\, and faculty of the ELLIS Institute Finland. \nStine Lomborg\, Professor of Digital Communication at University of Copenhagen\, Director of the Interdisciplinary Center for Tracking & Society\, Chief Scientist at the Danish national center for AI in society (CAISA) \nMalcolm Langford\, Professor of Public Law\, University of Oslo and Co-Director of TRUST: Norwegian Centre for Trustworthy AI.  \n16:00-17:00  Parallel Workshops\, Session 2 \n17:00  Mingle food and Poster Session \n			\n				\n				\n				\n				\n				Registration\nRegistration is open from 16 March through 16 April. \n			\n				Register\n			\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				Friday\, May 8\n08:30-09:30  Parallel Workshops\, Sessions 3 \n09:40-10:15  Keynote “Perception\, Action\, Intercation in Physical AI systems”Danica Kragic\, Professor at the School of Computer Science and Communication at the Royal Institute of Technology\, KTH \nCoffee \n10:45-11:45  Flash Talks: Funded Projects NEST & RIGTime-Resolved Imaging and Multi-Channel Evaluation of Cellular Dynamics (TIMED) – Ola Spjuth\, Professor of Pharmaceutical Bioinformatics\, Uppsala University \nThe 3D dynamics of the chromosome – Johan Elf\, Professor of Physical Biology\, Uppsala University \nMultimodal AI-based Precision Diagnostics and Decision Support for Breast Cancer (AID4BC) – Jens Sjölund\, WASP Fellow and Assistant Professor in Artificial Intelligence (AI)\, Uppsala University \nAI tools for mental health: Clinical Trials – Sverker Sikström\, Professor Cogntive Psychology\, Lund University & Axel C Carlsson Associated Professor\, Karolinska Institutet \nExplainable and Just AI in Data-Driven Disease Surveillance – Yana Litins’ka\, Associate Professor\, Lund University & Atiye Sadat Hashemi\, Associate Postdoctoral Researcher\, Lund University \nPersonalized medicine: Ethics and knowledge-making in data-driven medical prediction – Stefan Larsson\, Associate Professor of Technology and Social Change\, Lund University &  Markus Lingman\, Specialist Physician in Cardiology Adjunct Professor Medicine\, University of Halmstad &  Charlotte Högberg\, PhD\, Postdoc in Technology and Society\, Lund University \n11:45-12:00  Closing remarks\, lunch to go \n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				Parallel Workshops\, Sessions 1-3\nParticipants will be able to choose one workshop per session during the three parallel workshop blocks. Each workshop has a limited number of seats\, and registration is handled on a first‑come\, first‑served basis. If a workshop no longer appears in the registration form\, it means that it is fully booked. Participants are then welcome to select among the remaining workshops running in the same session. \n			\n				\n				\n				\n				\n				Parallel Workshops\, Session 1\n				“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 \n“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 \n“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 \n“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 \n“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 \n			\n				\n				\n				\n				\n				Parallel Workshops\, Session 2\n				“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 \n“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 \n“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 \n“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 \n“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 \n			\n				\n				\n				\n				\n				Parallel Workshops\, Session 3\n				“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  \n“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 \n“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 \n“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 \n\n“Bridge between Industry and Academia”The workshop aims to give an introduction to WASP Research Arenas (WARA). Especially for researchers within DDLS and WASP-HS that might not be aware of the WARA. WARA act as a bridge between research and industry and offer increased research impact and potential for industrially significant breakthroughs. A unique opportunity to validate and refine scientific theories in real-world settings that are relevant to industries.Workshop Organizer: Ola Engkvist\, Project Leader WARA Medicine\, Adj. member AMG\, Executive Director\, Head of Molecular AI\, Discovery Sciences\, R&D\, AstraZeneca \n\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				Testa Center Demo Day\n– Exploring Digital Innovation in Modern Bioproduction\nIf you’re already in Uppsala for the conference\, don’t miss the chance to start your visit with Testa Center’s Demo Day on May 6. This hands‑on event offers researchers a close look at how digital technologies are reshaping modern bioproduction.When: May 6Where: Testa Center\, Danmarksgatan 11\, 75323 UppsalaRead more and register \n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				Read more about our keynotes\, panelists and speakers\n			\n				\n				\n				\n				\n				Keynote Maja Fjaestad\n				Title: Adjunct Professor \nDr Maja Fjaestad worked at the EU’s European Artificial Intelligence Office in 2025 and has since returned to Sweden as a strategic advisor at Karolinska Institutet\, associate professor at AI Policy lab at Umeå Univerisy and adjunct professor at Luleå University of Technology. She holds a PhD in the history of technology from KTH\, has conducted research at the Max Planck Institute\, and is affiliated with the Institute for Futures Studies. She is also an expert coordinator at the Centre for Health Crises at Karolinska Institutet\, a member of the Royal Swedish Academy of Engineering Sciences (IVA)\, an author\, and a sought-after speaker. \n			\n				\n				\n				\n				\n				Keynote Olli Kallioniemi\n				Title: Research Director at FIMM\, University of Helsinki\, and Professor of Molecular Precision Medicine at Karolinska Institutet and SciLifeLab \nOlli Kallioniemi is Research Director at FIMM\, University of Helsinki\, and Professor of Molecular Precision Medicine at Karolinska Institutet and SciLifeLab. Trained in medicine and clinical chemistry in Finland\, he later held tenure-track and tenured positions at NHGRI/NIH. He served as founding Director of FIMM (2007–2015)\, Director of SciLifeLab (2015–2024)\, and inaugural Director of the DDLS program (2022–2025). His research focuses on AI- and data-driven precision medicine\, particularly in hematologic and prostate cancers. He has authored over 420 publications\, holds more than 20 patents\, supervised 27 doctoral theses and over 30 postdoctoral fellows. He is an elected member of EMBO\, the Royal Swedish Academy of Sciences\, the European Academy of Cancer Sciences\, and the Nobel Assembly. \n			\n				\n				\n				\n				\n				Keynote Danica Kragic\n				Title: Professor KTH Royal Institute of Technology  \nDanica Kragic is a Professor of Computer Science at KTH. Her research is in the area of robotics\, computer vision and machine learning. She received ERC Starting Grant\, Advanced and Synergy Grants\,  Distinguished Professor Grant from the Swedish research Council and she is a Wallenberg Scholar. \n			\n				\n				\n				\n				\n				Panelist Arto Klami\n				Title: Professor of Computer Science \nArto Klami is a Professor of Computer Science at University of Helsinki\, Finland. He is part of the Helsinki Probabilistic Machine Learning Lab\, the Finnish Center for Artificial Intelligence FCAI\, and faculty of the ELLIS Institute Finland. His main research interests are statistical machine learning\, human-AI collaboration\, and artificial intelligence for scientific discovery. His work spans from fundamental questions on efficiency of statistical inference to domain-agnostic workflows for supporting innovations\, with broad range of applications including ultrasonic sensing\, chemistry\, and food science . He has published more than 100 articles on these topics\, including both numerous publications in top-tier machine learning venues (NeurIPS\, ICML\, ICLR\, AISTATS) and interdisciplinary work appearing high-profile journals in diverse scientific fields\, and has lead more than 10 externally funded research projects. \n			\n				\n				\n				\n				\n				Panelist Stine Lomborg\n				Title: Professor of digital communication \nStine Lomborg is professor of digital communication at University of Copenhagen\, where she directs the interdisciplinary Center for Tracking & Society. She is also a chief scientist at the Danish national center for AI in society (CAISA). Her research bridges infrastructural\, organisational and citizen-focused inquiry into how technologies for datafication and automation impact our lives\, as explored in the ERC-funded projects Datafied living and APPMONITOR\, as well as the recently completed comparative project Automating Welfare. \n			\n				\n				\n				\n				\n				Panelist Malcolm Langford\n				Title: Professor of Public Law \nMalcolm Langford is Professor of Public Law at the University of Oslo and Co-Director of TRUST: The Norwegian Centre for Trustworthy AI. His scholarship is grounded in law\, social science\, and data science and his publications span international and comparative law\, human rights and development\, and AI and emergent technologies. Langford has won several prizes for his work on international adjudication and legal education and technology\, and he has previously led the Digital Lawyer project\, CELL Centre of Excellence in Education\, and the Investor–State Dispute Settlement Academic Forum for UNCITRAL. He also leads a new Nordforsk project (NordAId: Trustworthy AI in Public Decision Making) and infrastructure project for sensitive public data (S2-Data) and he has advised a range of governments\, international organisations and non-governmental organisations on human rights and technology. \n			\n				\n				\n				\n				\n				Speaker Ola Spjuth \n				Title: Professor of Pharmaceutical Bioinformatics \nOla Spjuth received his PhD in Bioinformatics from Uppsala University in 2009 and completed postdoctoral fellowships at Karolinska Institutet in Stockholm and the Finnish Institute of Molecular Medicine (FIMM) in Helsinki. He is currently Professor of Pharmaceutical Bioinformatics at the Department of Pharmaceutical Biosciences\, Uppsala University. His research focuses on how AI and automation\, together with high-throughput and high-content molecular and cellular profiling technologies\, can accelerate drug discovery and address complex challenges in pharmacology and toxicology. \n			\n				\n				\n				\n				\n				Speaker Johan Elf \n				Title:  Professor of Physical Biology \nJohan Elf has pioneered single-molecule fluorescence microscopy in living cells. This work has been complemented by the development of microfluidics\, synthetic biology\, and computational analysis tools. His most significant innovations include optical pooled screening and phenotypic antibiotic susceptibility testing at the level of individual bacteria. \n			\n				\n				\n				\n				\n				Speaker Jens Sjölund \n				Title: Assistant Professor \nJens Sjölund is an assistant professor in AI at Uppsala University\, WASP Fellow\, and ELLIS member. His research is in machine learning and optimization\, with applications across science and medicine. He previously worked as a senior research scientist at Elekta\, where his dose optimization work formed the basis for Leksell Gamma Knife Lightning. \n			\n				\n				\n				\n				\n				Speaker Sverker Sikström \n				Title: Professor of Cognitive Psychology \nSverker Sikström is Professor of Cognitive Psychology at Lund University\, and the founder and scientific lead of TalkToAlba\, specializing in language based psychometrics and AI for mental health . He is a serial founder and recipient of innovation awards such as Lund University & Sparbanken Finns Innovations Prize and Venture Cup’s Startup of the Year. His academic work has been cited over 7\,000 times\, with an h index of 33. \n			\n				\n				\n				\n				\n				Speaker Axel C Carlsson\n				Title: Associate Professor \nAxel C Carlsson conduct broad research on diseases in primary care\, with projects ranging from early detection of cancer\, cognitive testing and machine learning for early identification of dementia\, to studies on high blood pressure and cardiovascular risk in the population\, post-COVID syndrome\, and mental health. \n			\n				\n				\n				\n				\n				Speaker Yana Litins’ka \n				Title: Associate professor \nYana Litins’ka is an Associate Professor and Senior Lecturer in Public Law at Lund University. She holds an LL.D. degree in Medical Law and has been appointed as Associate Professor in Medical Law at Uppsala University. Her research sits at the intersection of health law\, public health\, and human rights\, with a particular focus on how legal frameworks shape the protection of vulnerable groups. A central thread in her work concerns autonomy in healthcare and the boundaries of coercion and voluntariness. She also engages with rights-based perspectives on access to healthcare\, including migrants’ access to health services and the rights of persons with disabilities. Yana works on a range of public health topics within law\, including infectious disease control measures and preparedness for future health emergencies\, examining\, for example\, the legal regulation of vaccination\, the permissibility of restrictions on freedom of movement and privacy for public health purposes\, and requirements for AI-based epidemiological monitoring. \n			\n				\n				\n				\n				\n				Speaker Atiye Sadat Hashemi\n				Title: Associate Postdoctoral Researcher \nAtiye Sadat Hashemi received her Ph.D. in Electronic Engineering from Semnan University and was a visiting Ph.D. researcher at the Chair of Signal Processing and Machine Learning\, Institute for Communications Technology at Technische Universität Braunschweig in Germany during 2020–2021. She was a postdoctoral fellow in Center for Applied Intelligent Systems Research at Halmstad university and currently she is an associate postdoctoral researcher in AI in Medicine at Lund University\, Sweden\, where she is the Principal Investigator of a Research Initiation Grant from SciLifeLab and serves as Co-Principal Investigator on a grant from Swedish Research Council (VR) focused on the application of artificial intelligence in infectious diseases. Her research lies at the intersection of artificial intelligence and healthcare\, with particular emphasis on disease outbreak surveillance\, privacy-preserving machine learning\, and adversarial learning methods. \n			\n				\n				\n				\n				\n				Speaker Stefan Larsson \n				Title: Associate Professor of Technology and Social Change \nStefan Larsson is a social science technology researcher at the Department of Technology and Society\, Lund University in Sweden\, where he leads a research group on AI and society that do interdisciplinary studies on norms\, ethics and governance issues linked in the human-AI/robotics intersection. \n			\n				\n				\n				\n				\n				Speaker Markus Lingman\n				Title: Specialist Physician in Cardiology\,  Adj. Professor Medicine \nMarkus Lingman is a cardiologist\, chief strategy officer and adjunct professor of medicine at University of Halmstad and affiliations at the Sahlgrenska Academy and Karolinska Institutet. His research has a focus on applied AI in healthcare and medicine leveraging real-world data. \n			\n				\n				\n				\n				\n				Speaker Charlotte Högberg \n				Title: PhD\, Postdoc in Technology and Society \nCharlotte Högberg is a postdoctoral research fellow at The Department of Technology and Society\, Lund University\, specialized in Science and Technology Studies and medical AI. Her work concerns practices\, ethics and epistemologies of the development and use of AI in medicine\, healthcare and the public sector. \n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				Background\nWallenberg AI\, Autonomous Systems and Software Program (WASP)\, the SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS)\, and Wallenberg AI\, Autonomous Systems and Software Program – Humanity and Society (WASP-HS) are collaborating through joint research projects and events with the ultimate goal of solving ground-breaking research questions across disciplines. 
URL:https://wasp-hs.org/event3/research-opportunities-at-the-intersection-of-society-life-sciences-and-technology/
ATTACH;FMTTYPE=image/jpeg:https://wasp-hs.org/wp-content/uploads/2024/05/WASP-WASP-HS-DDLS.jpg
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BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20260527T101500
DTEND;TZID=Europe/Stockholm:20260527T101500
DTSTAMP:20260409T183907
CREATED:20260401T135035Z
LAST-MODIFIED:20260409T064314Z
UID:22216-1779876900-1779876900@wasp-hs.org
SUMMARY:Human Futures\, Machine Pasts: Rethinking AI through Cultural Memory and Imagination
DESCRIPTION:Together with The Swedish Collegium for Advanced Study (SCAS)\, WASP-HS is hosting an international series of symposium “Human Futures – AI Transisions in a Global Context” carried out with Tokyo College (Japan) and the Stellenbosch Institute for Advanced Study (STIAS\, South Africa). Running from 2026 to 2027\, the program brings together scholars from a range of disciplines to examine the broader transformations associated with the rapid development and deployment of artificial intelligence and autonomous systems across different global contexts. \nAs part of this series we are welcoming you to the open lecture “Human Futures\, Machine Pasts: Rethinking AI through Cultural Memory and Imagination” on May 27\, 2026. Keynote speaker is Anna Foka\, Professor of Digital Humanities\, Uppsala University \n			\n				\n				\n				\n				\n				Abstract\nThe opening keynote explores how artificial intelligence is reshaping not only the way societies imagine the future but also how we understand the past and define humanity itself. Drawing from cultural heritage\, digital humanities\, and critical AI studies\, it argues that the technologies driving automation and prediction are deeply entangled with inherited cultural narratives\, biases\, and epistemologies. By tracing the historical continuities between past imaginaries of intelligence and today’s algorithmic systems\, the lecture highlights the need for interdisciplinary approaches that foreground ethics\, creativity\, and global diversity. Ultimately\, it asks how the humanities can help us reclaim agency and meaning in an increasingly automated world—turning AI from an object of control into a shared space of interpretation and reflection. \nRegistration\nPre-registration for the physical event (not Zoom) is required by 25 May 2026 at the latest. \n			\n				Registrer\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n					Anna Foka\n					\n					Professor of Digital Humanities\, Uppsala University \n					\n				\n			\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				About Anna Foka\nAnna Foka is Professor of Digital Humanities at Uppsala University and research leader och the WASP-HS research environments AI Futures of Culture and Memory. She is National Mentor for AI in the Swedish South Korea Collaboration in the Research and Innovation Programme (SKERIC). Foka’s work focuses on the cultural and ethical dimensions of artificial intelligence\, digital heritage\, and interdisciplinary methods across the humanities and technology. She has published widely on digital transformation in museums\, archives\, and cultural institutions\, and currently leads several international projects on AI\, sustainability\, and cultural knowledge infrastructures. Her latest books are AI and Image (Cambridge University Press) and Evolving Perspectives in Digital Classics (Routledge).
URL:https://wasp-hs.org/event3/human-futures-machine-pasts-rethinking-ai-through-cultural-memory-and-imagination/
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20260610T120000
DTEND;TZID=Europe/Stockholm:20260611T130000
DTSTAMP:20260409T183907
CREATED:20260324T095517Z
LAST-MODIFIED:20260327T122120Z
UID:21813-1781092800-1781182800@wasp-hs.org
SUMMARY:The Impact of AI on White Collar Work
DESCRIPTION:Please note that this event is independently organized by WASP-HS researchers and not the WASP-HS Program Office. \n			\n				\n				\n				\n				\n				This is the fourth interdisciplinary conference about the use of artificial intelligence in white collar work and implications for the labour market. White collar work is increasingly important in employment. Meanwhile\, it performs a number of tasks that are susceptible to AI-induced automation. At the conference\, researchers will present their current research. We welcome researchers in economics\, computer-science\, informatics\, statistics\, management\, law\, sociology\, and other related fields. To benefit the research presented\, we aim for an active and close interaction between participants\, akin to a workshop. \n			\n				Read more and register\n			\n				\n				\n				\n				\n				AI\, Structural Change and the Future of Work\n\nThe conference is partly hosted by the WASP-HS research environment AI\, Structural Change and the Future of Work.\n\n			\n				Read more
URL:https://wasp-hs.org/event3/the-impact-of-ai-on-white-collar-work/
LOCATION:Katrinelunds Gästgiveri & Sjökrog
CATEGORIES:AI, Structural Change and the Future of Work
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BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20260817T130000
DTEND;TZID=Europe/Stockholm:20260821T120000
DTSTAMP:20260409T183907
CREATED:20260210T150046Z
LAST-MODIFIED:20260409T123544Z
UID:19303-1786971600-1787313600@wasp-hs.org
SUMMARY:WASP-HS Summer School 2026 — Algorithmic Power and Discourse: AI\, Politics\, and the Production of Meaning
DESCRIPTION:Photo: Mattias Pettersson \nWelcome to the WASP-HS Summer School 2026 where we will explore how artificial intelligence is reshaping power\, politics\, and the production of meaning in contemporary society. This year\, the summer school is hosted by the WASP-HS research environment AI\, Power and Politics and the DIGSUM Centre for Digital Social Research at Umeå Universiy. \nArtificial intelligence is not only a technological development but a transformative force in how knowledge is produced\, circulated\, and legitimised. From algorithmic decision-making to generative AI\, these systems increasingly shape public discourse\, political processes\, and societal governance. This raises fundamental questions about power\, authority\, and the conditions under which truth and meaning are constructed. \nThis summer school creates a forum for WASP-HS PhD students where they can engage critically with these developments. Participants will explore how AI systems operate as infrastructures of power and as “discourse machines” that influence how societies understand themselves\, their pasts\, and their futures. \nThe program brings together theoretical perspectives from the humanities and social sciences to examine how artificial intelligence reshapes power\, politics\, and societal meaning-making. Through lectures\, workshops\, and collaborative discussions\, participants will take a critical perspective on AI as a socio-political force\, exploring its implications for knowledge\, governance\, and public life. \n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				Thematic Areas\nThe thematic areas covered during the summer school are: \n– Algorithmic power and political economyAI as infrastructure of control\, dependency\, and profit \n– Discourse\, knowledge and meaning-makingAI systems as producers and mediators of knowledge and truth \n– Platforms\, disinformation and information environmentsAlgorithmic amplification\, generative AI\, and the dynamics of public discourse \n– Governance\, legitimacy and regulationDemocratic challenges in AI-driven decision-making \n			\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				Learning Outcomes\nThroughout the summer school\, participants will: \n– Develop a nuanced understanding of artificial intelligence as a socio-political force shaping contemporary societies \n– Critically examine how AI systems influence discourse\, knowledge production\, and relations of power \n– Strengthen their ability to engage in and contribute to interdisciplinary dialogue across fields \n– Build lasting academic networks within the WASP-HS community \n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				Program\nTBD \n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				Registration\nRegistration closes on June 16. \n			\n				\n				\n				\n				\n				\n				\n				\n					Please enable JavaScript in your browser to complete this form.Please enable JavaScript in your browser to complete this form.Name *FirstLastEmail *University *I am *A WASP-HS PhD Student (WASP-HS financed and affiliated)A NORA-HS PhD StudentA Berlin PhD StudentOtherTitle of your WASP-HS project *Name of Supervisor *FirstLastSupervisor's email *Note: The Summer school is open to WASP-HS PhD Students and to PhD students from NORA-HS and from the Hertie School\, Berlin. Accommodation *I need a room in Umeå for the whole duration\, 16-21 AugustI need a room from Monday 17 August to the 21 AugustI have my own accommodationI have dietary restrictions *NoYesI want to participate in the outing arranged by the WASP-HS PhD student council (presumably Tuesday August 18) *NoYesI want to participate in the dinner on Thursday (presumably 20 August) *NoYesPlease specify *Additional infoPlease let us know if you have any special needs.GDPR Agreement *I consent to having this website store my submitted information so they can respond to my inquiry.Submit  \n				\n			\n				\n				\n				\n				\n				AI\, Power and Politics\nWant to know more about the WASP-HS research environment AI\, Power and Politics? \n			\n				Read more
URL:https://wasp-hs.org/event3/summer-school-2026-on-ai-power-and-politics/
CATEGORIES:Summer School
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BEGIN:VEVENT
DTSTART;VALUE=DATE:20260825
DTEND;VALUE=DATE:20260828
DTSTAMP:20260409T183907
CREATED:20260326T084304Z
LAST-MODIFIED:20260401T132728Z
UID:21907-1787616000-1787875199@wasp-hs.org
SUMMARY:Workshop: The Politics of Models – Bias\, Representation & Transparency in Generative Models
DESCRIPTION:Generative models can capture an abstract representation of various modalities such as sound\, images\, video\, text\, and data. These models are now globally utilized for knowledge and content organization and synthesis. The generative AI models are integrated rapidly into research\, industry\, culture\, and the public sectors; where the accelerated growth hinders the considerations into societal implications of these rapid advancements. These models are new forms of knowledge representation\, in which the technical choices such as applied ontology or categorizations as well as the data sources and gathering processes\, influence\, imply\, and afford new forms of power and control on representation\, history\, culture\, and knowledge associations. Addressing these issues requires both technical advancement and research as well as societal grounding\, awareness in positionality\, and critical engagements. This workshop creates a shared space for WASP and WASP-HS researchers with the goal to build interdisciplinary research directions to influence a better and healthier societal integration of generative AI. \nTopics\nRepresentation & BiasAnalysis of representation and bias in generative models across modalities – sound\, images\, video\, text\, and data. \nPower & ControlUnderstanding the new forms of power and control enabled through generative AI over representation\, history\, and culture. \nTransparency & AccountabilityBuilding frameworks for transparent and accountable deployment of generative models in research and society. \nSocietal AlignmentAligning technical solutions with societal expectations\, needs\, and values for a healthier integration of AI. \n \nSchedule\n\n\nAugust 25: Arrival & Opening\nWelcome lunch\, introductory sessions\, and evening reception at Rånäs Slott. From lunch onwards \n\n\n\n\n\n\n\nAugust 26: Full Day of Sessions\nKeynotes\, interdisciplinary panels\, collaborative workshops\, and research discussions. Full day \n\n\n\n\n\n\n\nAugust 27: Closing & Departure\nFinal sessions\, synthesis of ideas\, future directions\, and farewell lunch. Ends with lunch  \n \nExpression of interest\nApply by April 17 to secure your spot. This workshop is open to researchers from both WASP and WASP-HS communities interested in the intersection of generative AI and societal implications. \nSpots are limited to 20 participants so make sure to fill in the Expression of Interest-form to get a chance to attend. Apply here. \n \nOrganizers\n\n\nKivanç Tatar\, Chalmers University of TechnologyKathlén Kohn\, KTH Royal Institute of TechnologyMd Fahim Sikder\, Linköping UniversityFrancis Lee\, Södertörn UniversityBodil Formark\, Södertörn University
URL:https://wasp-hs.org/event3/workshop-the-politics-of-models-bias-representation-transparency-in-generative-models/
LOCATION:Rånäs slott\, Rånäs Slott 762 96\, 762 96\, Sweden
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BEGIN:VEVENT
DTSTART;VALUE=DATE:20260928
DTEND;VALUE=DATE:20261001
DTSTAMP:20260409T183907
CREATED:20260331T162017Z
LAST-MODIFIED:20260409T123224Z
UID:22187-1790553600-1790812799@wasp-hs.org
SUMMARY:Workshop: Theorizing AI and Society in the Nordics
DESCRIPTION:Artificial intelligence (AI) seems to be everywhere: in welfare offices and hospital wards\, scientific laboratories and school classrooms\, customer service chatbots and administrative documentation systems. Hardly a day goes by without new claims being made about AI’s transformative or disruptive powers\, accompanied by promises of efficiency\, insight\, and radical institutional change. In this workshop\, we want to examine the hype\, practices\, and politics of “AI” in the context of Nordic societies.  \nWith highly digitalized societies and citizens\, digital public sectors\, extensive population registers\, and long traditions of automation and data-driven governance\, Nordic societies have lived with digital and automated systems for decades. Yet AI appears to extend these dynamics by entering the communicative and epistemic core of institutions: analyzing\, classifying\, writing\, advising\, summarizing\, and interacting across knowledge making practices\, from the lab to the welfare office. Following this\, we would like to discuss how AI systems reshape knowledge practices and institutions\, and what the implications might be for how we theorize AI in society. \nWorkshop themes\nNew objects of knowledgeEmerging AI infrastructures do not only detect patterns in data. They also produce new objects of knowledge and intervention through texts\, summaries\, explanations\, simulations\, and other outputs. In scientific and institutional settings\, these systems can shape the very objects and descriptions through which the world is understood. This raises broader questions about what AI brings into being in data-intensive Nordic societies. \nClassification and valuationWhen computational systems enter knowledge-making and institutional practice\, the boundaries of categories begin to shift. People\, groups\, and objects may be ranked\, scored\, grouped\, and made visible in new ways\, creating new hierarchies and forms of valuation. By producing classifications\, recommendations\, summaries\, and evaluations in natural language\, these systems may further stabilize and intensify such processes. The workshop therefore asks how AI reshapes both what is classified and valued\, and how this is done. \nKnowledge practices and institutionsAs AI becomes embedded across organizations and institutions\, it changes how knowledge is produced\, validated\, and circulated. Systems that analyze data\, draft reports\, respond to citizens\, or assist professional reasoning affect how expertise is organized and articulated in practice. In this way\, AI enters the communicative and epistemic core of institutions rather than remaining a peripheral technical tool. This opens up broader questions about how societies come to know themselves and the world through computational infrastructures. \nWorkshop focus\nDrawing on Science and Technology Studies and Organization Studies\, this workshop brings together researchers across the Nordic countries to examine what predictive and generative AI are actually doing to institutions\, knowledge practices\, professional work\, state–citizen relations\, and collective futures. We are particularly interested in empirically grounded work dealing with knowledge making practices in diverse domains. Empirical examples may include policing\, welfare services\, healthcare\, education\, and science. Rather than treating AI as a stable or finished technological object\, the workshop asks how these systems are enacted in practice and what this implies for how we can theorize AI in society. \nOrganizers\nProf. Francis Lee\, Södertorn UniversityProf. Helene Friis Ratner\, Technical University of Denmark \nFunded by WASH-SH\, Algorithms\, Data & Democracy Project (ADD) – VELUX Foundations.
URL:https://wasp-hs.org/event3/workshop-theorizing-ai-and-society-in-the-nordics/
LOCATION:Sandhamn\, Stockholm\, Sandhamn\, 130 39 Sandön\, Stockholm\, Sweden
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BEGIN:VEVENT
DTSTART;VALUE=DATE:20261012
DTEND;VALUE=DATE:20261015
DTSTAMP:20260409T183907
CREATED:20260402T093549Z
LAST-MODIFIED:20260409T083104Z
UID:22244-1791763200-1792022399@wasp-hs.org
SUMMARY:WASP-HS & DDLS: Interdisciplinary Workshop
DESCRIPTION:Content is protected.
URL:https://wasp-hs.org/event3/wasp-hs-ddls-interdisciplinary-workshop/
LOCATION:Sigtunastiftelsen\, Manfred Björkquists allé 4\, Sigtuna\, 193 31
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BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20261110T120000
DTEND;TZID=Europe/Stockholm:20261111T121500
DTSTAMP:20260409T183907
CREATED:20251126T085924Z
LAST-MODIFIED:20260409T135832Z
UID:19300-1794312000-1794399300@wasp-hs.org
SUMMARY:AI for Humanity and Society 2026
DESCRIPTION:About\n			\n			\n				\n				\n				\n				\n				\n				Keynotes\n			\n			\n				\n				\n				\n				\n				\n				Program\n			\n			\n				\n				\n				\n				\n				\n				Registration\n			\n			\n				\n				\n				\n				\n				\n				More\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				Robots and Autonomous Systems in Everyday Life\n			\n				\n				\n				\n				\n				How can we live amidst and with robots? How do they impact human work and our understanding of social relationships and societal values? Complex organizational work is needed to make robot fleets run smoothly and bring forward societal concerns about care\, safety and responsibility. Join the WASP-HS conference AI for Humanity and Society 2026 themed “Robots and Autonomous Systems in Everyday Life”.  \nRobots and autonomous systems have left the laboratories and are now entering homes\, schools\, hospitals and public spaces. They are becoming part of everyday life. Being a material and mobile manifestation of artificial intelligence\, robots raise new questions about autonomy and agency in relationships with individuals. \nThis year’s conference\, Robots and Autonomous Systems in Everyday Life\, will explore how individuals\, organizations\, and societies are impacted when robots enter our daily life\, shedding light on how humans work to make autonomous systems at home in the world. WASP-HS welcomes researchers\, industry leaders\, policymakers\, and civil society to come together to make sense of emerging developments and to discuss agendas for humane futures with autonomous systems and AI. Through panels\, keynotes and an interactive reception\, we will engage with topics such as coordination and interaction with robots as a form of embodied AI\, robots in education\, regulatory and policy issues related to autonomous systems\, as well as the roles robots and autonomous systems may play in care and crisis. \nThe WASP-HS AI for Humanity and Society 2026 conference fosters human-centered perspectives on robots and autonomous systems\, offering a space to examine emerging challenges and to jointly imagine possible futures — where robots and autonomous systems can foster human relationships\, contribute to inclusive public spaces\, and stimulate meaningful work. We warmly welcome you to join us in Linköping at Mjärdevi Science Park (Teknikringen 7) on November 10–11\, 2026. \n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				Keynotes\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n					Steve Benford\n					\n					Dunford Professor of Computer Science\, University of Nottingham And UKRI Turing AI World Leading Research Fellow \n					\n				\n			\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n					Janet Vertesi\n					\n					Associate Professor\, Princeton University and Associate Director of the Keller Center for Innovation in Engineering Education \n					\n				\n			\n			\n				\n				\n				\n				\n				\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				Preliminary Conference Program\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				Tuesday\, November 10\n12:00 Registration opens \n13:00–13:15 Welcome and introduction \n13:15–14:00 Panel 1: Coordinating Human and Robot BodiesModerator: Valentina Fantasia\, Lund University \nOskar Lindwall\, University of GothenburgJuliene Madureira Ferreira\, Tampere University Madeline Balaam\, KTH Royal Institute of Technology  \n14:15–15:00 Panel 2: Educational Robots and AIModerator: Ali Reza Majlesi\, Karolinska Institutet \nGinevra Castellano\, Uppsala UniversityLinnéa Stenliden\, Linköping UniversitySofia Serholt\, University of Gothenburg \n15:00–15:30 Coffee Break \n15:30–16:15 Opening Keynote: Steve Benford \n16:30–18:30 Interactive Reception \n			\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				Wednesday\, November 11\n08:30 Registration opens \n09:00–9:15 Welcome and Opening \n09:15–10:00 Panel 3: Policy and Regulation of RobotsModerator: Stefan Larsson\, Lund University \nCilli Sobiech\, Swedish National Road and Transport Research InstituteBarry Brown\, University of Copenhagen & Stockholm UniversityEduard Fosch-Villaronga\, Leiden UniversityMartin Ebers\, WASP-HS Guest Professor\, Örebro University \n10:00–10:15 Coffee Break \n10:30–11.15 Panel 4: Robots and AI in Care and CrisisModerator: Helena Lindgren\, Co-Director of WASP-HS\, Umeå University \n11:15-12:00 Closing Keynote: Janet Vertesi \n12:00-12:15 Closing and announcement of 2027 conference \n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				Registration\nRegistration opens September 8. \n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				Conference Chairs\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n					Hannah Pelikan\n					\n					Assistant Professor at Linköping University and a Pro Futura Scientia Fellow at the Swedish Collegium for Advanced Study. \n					\n				\n			\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n					Airi Lampinen\n					\n					Associate Professor in Human–Computer Interaction at the Department of Computer and Systems Sciences at Stockholm University.
URL:https://wasp-hs.org/event3/ai-for-humanity-and-society-2026/
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