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DTSTART;TZID=Europe/Stockholm:20260421T110000
DTEND;TZID=Europe/Stockholm:20260421T120000
DTSTAMP:20260421T112339
CREATED:20260120T134710Z
LAST-MODIFIED:20260209T100232Z
UID:10001726-1776769200-1776772800@www.scilifelab.se
SUMMARY:The Global Open Research Commons International Model: A path towards greater interoperability for digital research infrastructures
DESCRIPTION:The Global Open Research Commons (GORC) International Model (starting with its Essential Elements) has been in development since 2016 within Research Data Alliance Interest and Working Groups. It is now a mature way to guide implementation decisions\, a framework for new commons implementers\, and a shared language for interoperability discussions. This talk will provide an overview of the GORC approach\, its current uptake\, and its future plans. It should be of interest to anyone concerned with interoperability within and between DRI.Presenter: Andrew Treloar (PhD)\, DRI Consultant \n\n\n\nThis event is part of the SciLifeLab Open Science seminar series\, an event series by the SciLifeLab Data Centre and NBIS joint Data Management team.The goal of the events in this seminar series is to provide interesting interactive seminars around topics related to Research Data Management and Open Science in general\, and to foster discussions around best practices. More information about SciLifeLab Data Centre and NBIS joint Open Science seminar series: https://www.scilifelab.se/data/scilifelab-data-management-seminar-series/ If you have suggestions for topics or presentations\, please contact us at data-management@scilifelab.se For more information or inquiries\, please contact us at  data-management@scilifelab.se \n\n\n\n             \n\n\n\nMore Information\n\nThis event is part of the SciLifeLab Open Science seminar series\, an event series by the SciLifeLab Data Centre and NBIS joint Data Management team.The goal of the events in this seminar series is to provide interesting interactive seminars around topics related to Research Data Management and Open Science in general\, and to foster discussions around best practices. \n\n\nResearch Data Management (RDM) concerns the organization\, storage\, preservation\, and sharing of data that is collected and analyzed during a research project. Proper planning and management of research data will make project management easier and more efficient while projects are being performed. It also facilitates sharing and allows others to validate as well as reuse the data.Open Science is a set of principles and practices that aim to make scientific research from all fields accessible to everyone for the benefits of scientists and society as a whole. Open science is about making sure not only that scientific knowledge is accessible but also that the production of that knowledge itself is inclusive\, equitable and sustainable. \n\n\nThe events are open to everyone working at or affiliated with a Swedish research institute or university. We welcome all researchers\, educational professionals\, staff\, RDM professionals\, and others with an interest in life sciences\, from all university levels. The events are informal and inclusive\, so feel welcome to join and participate in our interesting discussions! \n\n\nThe events will be recorded and published openly after the seminars on the SciLifeLab YouTube channel. The slides will be made available at our SciLifeLab Data Repository.More information about SciLifeLab Data Centre and NBIS joint Open Science seminar series: https://www.scilifelab.se/data/scilifelab-data-management-seminar-series/ \n\n\nIf you have suggestions for topics or presentations\, please contact us at data-management@scilifelab.seFor more information or inquiries\, please contact us at  data-management@scilifelab.se
URL:https://www.scilifelab.se/event/openscience-gorc/
LOCATION:Online event via Zoom
CATEGORIES:Event
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ORGANIZER;CN="Open Science Seminar Series":MAILTO:data-management@scilifelab.se
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BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20260507T080000
DTEND;TZID=Europe/Stockholm:20260508T170000
DTSTAMP:20260421T112339
CREATED:20251106T123112Z
LAST-MODIFIED:20260420T143604Z
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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 \n\n\n\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.    \n\n\n\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.  \n\n\n\nPractical Details \n\n\n\nDates  \n\n\n\nMay 7-8\, 2026  \n\n\n\nVenue  \n\n\n\nUppsala Konsert & Kongress  \n\n\n\nRegistration \n\n\n\n\nRegister here\n\n\n\n\nDeadline April16 \n\n\n\nBackground \n\n\n\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.  \n\n\n\nKeynotes\n\n\n\n\n\nMaja FjaestadAdjunct Associate Professor\, Department of Computing Science at Umeå University\n\n\n\n\n\nOlli KallioniemiResearch Director at FIMM University of Helsinki\, Professor of Molecular Precision Medicine at KI Institutet & SciLifeLab\n\n\n\n\n\nDanica KragicProfessor at the School of Computer Science and Communication at the Royal Institute of Technology\, KTH–\n\n\n\n\n\nPreliminary program \n\n\n\nThursday\, May 7\n\n\n\n09.00  Registration opens (coffee) + poster hanging10.00  Opening Remarks:Program Directors from the three Research Programs \n\n\n\n10.20 Keynote “Algorithmic rule: AI and the future of democracy”Maja Fjaestad\,Associate professor at Umeå Universitet \n\n\n\n11.00 Flash Talks: Future Ideas at the Intersection of Society\, Life Sciences & TechnologyPhD Students and Post Docs from the three Research Programs \n\n\n\n11.45 Parallel Workshops\, Session 1 \n\n\n\n12.30 Lunch \n\n\n\n14:00 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 \n\n\n\n14.40 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. \n\n\n\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) \n\n\n\nMalcolm Langford\, Professor of Public Law\, University of Oslo and Co-Director of TRUST: Norwegian Centre for Trustworthy AI.  \n\n\n\n15.20 Coffee \n\n\n\n16.00 Parallel Workshops\, Session 2 \n\n\n\n17.00 Mingle food and Poster Session \n\n\n\n\n\n\n\nFriday\, May 8\n\n\n\n08:30 Parallel Workshops\, Sessions 3 \n\n\n\n9.40 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 \n\n\n\n10.20 Coffee \n\n\n\n10.45 Presentations of funded projects\, NEST & Research Initiation GrantsTime-Resolved Imaging and Multi-Channel Evaluation of Cellular Dynamics (TIMED) – Ola Spjuth\, Professor of Pharmaceutical Bioinformatics\, Uppsala University \n\n\n\nThe 3D dynamics of the chromosome – Johan Elf\, Professor of Physical Biology\, Uppsala University \n\n\n\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 \n\n\n\nAI tools for mental health: Clinical Trials – Sverker Sikström\, Professor Cogntive Psychology\, Lund University & Axel C Carlsson Associated Professor\, Karolinska Institutet \n\n\n\nExplainable and Just AI in Data-Driven Disease Surveillance – Yana Litins’ka\, Associate Professor\, Lund University & Atiye Sadat Hashemi\, Associate Postdoctoral Researcher\, Lund University \n\n\n\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 \n\n\n\n11.45 Closing remarks \n\n\n\n12.00 End of day with lunch to go \n\n\n\n\n\n\n\nKeynote speakers\n\n\n\nMaja Fjaestad\, adjunct professor\nTitle: Algorithmic rule: AI and the future of democracyBio: Dr 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 University 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\nDanica Kragic\, Professor KTH\nTitle: Perception\, Action\, Intercation in Physical AI systemsBio: Danica 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\nOlli Kallioniemi\, Research Director and Professor University of Helsinki\,  Karolinska Institutet and SciLifeLab\nTitle: A plan for the Finnish Health Data Space (FHDS) in the AI era: Navigating  health\, data\, legal\, social and political aspects Bio: Olli 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\n\n\nPanelists: Initiatives in the Nordics\n\n\n\nArto Klami\nProfessor 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. \n\n\n\n\nStine Lomborg\nProfessor 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) \n\n\n\n\nMalcolm Langford\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\n\n\nNEST-flashtalks\n\n\n\nOla Spjuth\, Professor of Pharmaceutical Bioinformatics \nTitle: Time-Resolved Imaging and Multi-Channel Evaluation of Cellular Dynamics (TIMED)Bio: Ola 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\nJohan Elf\,  Professor Uppsala University\nTitle: The 3D dynamics of the chromosomeBio: Johan 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\nJens Sjölund\, WASP Fellow at Uppsala University\nTitle: Multimodal AI-based Precision Diagnostics and Decision Support for Breast Cancer (AID4BC)Bio: Jens 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\n\n\nResearch Initiative Grants (RIG) Flashtalks\n\n\n\nSverker Sikström\, professor cogntive Psychology & Axel C Carlsson\, Associated professor \nTitle: AI tools for mental health: Clinical Trials  \n\n\n\nBio1: Sverker 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.Bio2: Axel C Carlsson conducts 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\nYana Litins’ka\, Associate professor & Atiye Sadat Hashemi\, Associate Postdoctoral Researcher \nTitle: Explainable and Just AI in Data-Driven Disease Surveillance \n\n\n\nBio1: Yana 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.Bio2: Atiye 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\nStefan Larsson\, Associate Professor of Technology and Social Change\, Markus Lingman\, Specialist Physician in Cardiology\,  Adj. Professor Medicine & Charlotte Högberg\, PhD\, Postdoc in Technology and Society\nTitle: Personalized medicine: Ethics and knowledge-making in data-driven medical prediction \n\n\n\nBio1: Stefan 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.Bio2: Markus 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. Bio3: Charlotte 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\nWorkshop sessions\n\n\n\nAlongside plenary talks\, the conference will feature parallel interactive workshops addressing a wide range of interdisciplinary themes. Together\, these sessions will explore how advances in AI and data science are reshaping research practices\, governance frameworks\, and collaboration across domains\, from biomedical discovery to societal impact. \n\n\n\nAI for Science! An interactive discussion on a new initiative\nWorkshop Organizer: Salla Franzén \n\n\n\nDescription: 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. \n\n\n\nSession 1 \n\n\n\n\nWhat is the future of AI-supported precision medicine? Scrutinizing personalized care\, equal treatment and disruption of knowledge\nWorkshop Organizer: Charlotte Högberg \n\n\n\nDescription: 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. \n\n\n\nSession 1 \n\n\n\n\nLarge Language Models in Conflict: Knowledge\, Legitimacy\, and AI\nWorkshop organizer:  Mais Qandeel \n\n\n\nWorkshop Description: 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’Session 1 \n\n\n\n\nUnpacking Technology Through Interdisciplinary Reflection\nWorkshop Organizer: Derya Akbaba \n\n\n\nAbstract: 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. \n\n\n\nSession 1 \n\n\n\n\nZero-Click Futures: Safeguarding Knowledge Pluralism in the Age of Generative AI\nWorkshop Organizer: Selcen Ozturkcan \n\n\n\nWorkshop Description: 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. \n\n\n\nSession 1 \n\n\n\n\nFoundation models on European biomedical and healthcare data: ethical\, legal\, and technical pathways to life-course precision health\nWorkshop Organizer: Clemens Wittenbecher \n\n\n\nWorkshop description: 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. \n\n\n\nSession 2 \n\n\n\n\nLegal consciousness in the tech community\nWorkshop Organizer: Katalin Kelemen \n\n\n\nWorkshop Description: 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. \n\n\n\nSession 2 \n\n\n\n\nSciLifeLab OMERO: A Collaborative HPC-Enabled Platform for Data-Driven Bioimaging Research\nWorkshop Organizer: Sonja Mathias \n\n\n\nDescription: 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. \n\n\n\nSession 2 \n\n\n\n\nAI-Ready Data to enable collaborations across fields\nWorkshop Organizer: Data Centre\, (Arnold Kochari\, Alma Nilsson\, Angela Fuentes Pardo) \n\n\n\nWorkshop Description: 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. \n\n\n\nSession 2 \n\n\n\n\nThe Data of Circularity: Governing AI\, Transparency\, and Compliance in the Digital Product Passport (DPP)\nWorkshop Organizer: Selcen Ozturkcan \n\n\n\nWorkshop Description: 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. \n\n\n\nSession 2 \n\n\n\n\nWhat do I need for successful interdisciplinary research? Education as a collaborative exercise\nWorkshop Organizer: Kristen Schroeder \n\n\n\nWorkshop description: 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. \n\n\n\nSession 3 \n\n\n\n\nUses and understandings of synthetic data in DDLS domains – a conversation about generation methods and use cases across DDLS\, WASP & WASP-HS\nWorkshop Organizer: Ericka Johnson\, Francis Lee\, Ylva Söderfeldt \n\n\n\nWorkshop Description: 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. \n\n\n\nSession 3 \n\n\n\n\nThe Art of Human-AI Collaboration and Teaming Research\nWorkshop organizer: Helena Lindgren \n\n\n\nWorkshop Description: 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. \n\n\n\nSession 3 \n\n\n\n\nWhat Is Adaptation? Bridging Life Sciences\, Neuro-AI\, and Machine Psychology\nWorkshop Organizer: Robert Johansson \n\n\n\nWorkshop Description: 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. \n\n\n\nSession 3 \n\n\n\n\nWASP Research Arenas – A Bridge Between Industry and Academia\nWorkshop Organizer: Ola Engkvist \n\n\n\nWorkshop Description: The workshop aims to provide an introduction to the WASP Research Arenas (WARA)\, especially for researchers within DDLS and WASP‑HS who may not yet be familiar with WARA. WARA functions as a bridge between research and industry and offers increased research impact and potential for industrially significant breakthroughs. It provides a unique opportunity to validate and refine scientific theories in real‑world settings relevant to industry. \n\n\n\nSession 3 \n\n\n\n\n\n\n\n\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. \n\n\n\nOrganized within WARA Medicine\, the Demo Day brings together researchers interested in exploring new methods\, exchanging insights\, and identifying opportunities for collaboration in the bioprocessing domain. It’s a great opportunity to see how your technical\, scientific\, or computational expertise can contribute to the next generation of bioprocess innovation. \n\n\n\nWhen: May 6Where: Testa Center\, Danmarksgatan 11\, 75323 UppsalaRead more and register
URL:https://www.scilifelab.se/event/research-opportunities-at-the-intersection-of-society-life-sciences-and-technology/
LOCATION:Uppsala Konsert & Kongress\, Vaksala torg 1\, Uppsala\, 75331\, Sweden
CATEGORIES:Event
ATTACH;FMTTYPE=image/jpeg:https://www.scilifelab.se/wp-content/uploads/2025/11/DDLS.jpg
ORGANIZER;CN="Data-Driven Life Science @ SciLifeLab":MAILTO:ddls@scilifelab.se
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20261012T120000
DTEND;TZID=Europe/Stockholm:20261014T120000
DTSTAMP:20260421T112339
CREATED:20260414T090237Z
LAST-MODIFIED:20260414T092140Z
UID:10001802-1791806400-1791979200@www.scilifelab.se
SUMMARY:WASP-HS & DDLS: Interdisciplinary Workshop
DESCRIPTION:WASP-HS & DDLS: Joint Workshop at Sigtunastiftelsen\, 12–14 October \n\n\n\nThis interdisciplinary workshop brings together a carefully selected group of 25 researchers from diverse fields to exchange perspectives on the ethical\, legal\, and social dimensions of data-intensive research in the life sciences. The conversation is not limited to lawyers and ethicists\, but also includes researchers whose work both shapes and is shaped by these governance frameworks.  \n\n\n\nThe aim is to bring together diverse expertise to explore key challenges\, frame shared research questions\, and spark new interdisciplinary collaborations. \n\n\n\nWorkshop Focus\n\n\n\n→ Analyze governance structures and how they shape data-intensive research in precision medicine\, epidemiology\, infection biology\, biodiversity\, and molecular life sciences→ Identify key legal\, regulatory\, and ethical challenges in data-driven life sciences\, with particular attention to the experiences of scientists working with these issues in practice→ Promote meaningful dialogue across disciplines→ Develop new interdisciplinary research initiatives \n\n\n\nDuration\n\n\n\n12 OctoberArrival and opening from lunch onwards \n\n\n\n13 OctoberFull day of sessions \n\n\n\n14 OctoberClosing and departure ending with lunch  \n\n\n\nExpression of Interest\n\n\n\nApply by 4 May to secure your spot. This workshop is open to researchers from both the WASP-HS and DDLS communities. Spots are limited to 25 participants\, so make sure to fill in the Expression of Interest form to get a chance to attend. \n\n\n\nApply here \n\n\n\nOrganizers\n\n\n\nLianne Colonna\,WASP-HS\, Stockholm UniversityYana Litins’ka\, WASP-HS\, Lund UniversityHeidi Howard\, DDLS\, Chalmers University of TechnologyFrancis Lee\, WASP-HS\, Södertörn UniversityUlrika Wallenquist\, DDLS\, Uppsala UniversityBodil Formark\,WASP-HS\, Södertörn University
URL:https://www.scilifelab.se/event/wasp-hs-ddls-interdisciplinary-workshop/
LOCATION:Sigtunastiftelsen\, Manfred Björkquists allé 4\, Sigtuna\, 193 31\, Sweden
CATEGORIES:Event
ATTACH;FMTTYPE=image/jpeg:https://www.scilifelab.se/wp-content/uploads/2025/11/DDLS.jpg
ORGANIZER;CN="Data-Driven Life Science @ SciLifeLab":MAILTO:ddls@scilifelab.se
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