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DTSTART;TZID=Europe/Stockholm:20220608T100000
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UID:63361-1654682400-1654704000@www.scilifelab.se
SUMMARY:Networking meeting between the Wallenberg programs Data-driven Life Science (DDLS) and WASP-HS
DESCRIPTION:The purpose of the meeting is to explore opportunities for joint and multidisciplinary research ventures between researchers working within data-driven life science and researchers from the humanities and social sciences working on Artificial Intelligence and Autonomous Systems. Information regarding an upcoming call for seed-money for cross-program research collaborations will also be announced at the meeting. Apart from thematic parallel networking sessions\, the program will include a study visit to SciLifeLab. Coffee and lunch will be served. \n\n\n\nDeadline: Registration closes on June 1st at 23:00 \n\n\n\nFor questions about WASP-HS\, please contact tatyana.sarayeva@umu.se \n\n\n\nFor questions about DDLS\, please contact ddls@scilifelab.se \n\n\n\n\n\n\n\nRegistration\n\n\n\n\n\n\n\nProgram\n\n\n\n\n\n\n10:00Site visit to SciLifeLab12:00Lunch13:00WelcomePresentation of the programsWASP-HS: Francis Lee Associate Professor in Science and Technology Studies Chalmers University of TechnologyDDLS: Erik Kristiansson Professor Mathematical Sciences\, Chalmers University of Technology13:20Networking session 1 (select one)1.1. Data Challenges Moderators:WASP-HS: Amanda Lagerkvist\, Professor of Media and Communication Studies\, Uppsala UniversityDDLS: Helga Westerlind\, Assistant professor\, Computational epidemiology\, Karolinska Institutet1.2 Implementation and UseModerators:WASP-HS: Helena Lindgren. Professor in Computer Science\, Umeå UniversityDDLS: Janne Lehtiö\, Professor in medical proteomics\, Karolinska Institutet14:20Break14:50Networking session 2 (select one)2.1 Prediction and Modeling Moderators:WASP-HS: Francis Lee\, Associate Professor in Science and Technology Studies\, Chalmers University of TechnologyDDLS: Erik Kristiansson¸ Professor\, Chalmers University of Technology2.2 Governance and EconomicsModerators:WASP-HS: Liane Colonna\, Assistant professor in law and information technology\, Stockholm UniversityDDLS: Heidi Howard\, Researcher\, Medical Ethics\, Lund University15:50Closing words16:00End of day\n\n\n\n\n\n\n\n\n\n\nTheme descriptions DDLS/WASP-HS networking meeting\n\n\n\nData Challenges\n\n\n\nWASP-HS: Amanda Lagerkvist\, Professor of Media and Communication Studies\, Uppsala University \n\n\n\nDDLS: Helga Westerlind\, Assistant professor\, Computational epidemiology\, Karolinska Institute \n\n\n\nThis theme centers around the ethical\, organizational\, and social challenges around data work. Questions could include for instance: What are the challenges in creating representative datasets for diverse populations? In making data travel between project or countries. Or when old historical data are used to model contemporary phenomena? How do the categories of databases shape the collection of life science data? \n\n\n\nImplementation and Use\n\n\n\nWASP-HS: Helena Lindgren. Professor in Computer Science\, Umeå University \n\n\n\nDDLS: Janne Lehtiö\, Professor in medical proteomics\, Karolinska Institute \n\n\n\nThis theme centers on the ethical\, organizational\, and social challenges around implementation and use. Questions could include for instance: How can the generated medical knowledge be implemented in medical education and clinical practice? What are the legal and ethical implications thereof? How can a patient-centered\, holistic perspective on a patient’s health situation be maintained (balancing data-driven bio-centric assessments with clinical findings)?How can the computational instruments explain their grounds for output (classification\, assessment\, diagnosis\, or prediction) to a clinician or patient? \n\n\n\nPrediction and Modeling\n\n\n\nWASP-HS: Francis Lee\, Associate Professor in Science and Technology Studies\, Chalmers University of Technology \n\n\n\nDDLS: Erik Kristiansson\, Professor\, Chalmers University of Technology \n\n\n\nThis theme centers on the ethical\, organizational\, and social challenges around prediction and modeling. Questions could include for instance: What are the ethical and social issues in modelling and forecasting.What are the challenges for model reuse from different domains? What are the challenges of using ”ground truth datasets” to assess model fit for real data cases.  \n\n\n\nGovernance and Economics\n\n\n\nWASP-HS: Liane Colonna\, Assistant professor in law and information technology\, Stockholm University \n\n\n\nDDLS: Heidi Howard\, Researcher\, Medical Ethics\, Lund University \n\n\n\nThis theme centers on the legal\, organizational\, and governance challenges around data-driven life science. Questions could include for instance: Legal aspects of data (use\, reuse\, transfer\, sharing etc) What is/could be/should be the big picture (non-technical) model of data governance at DDLS? What are the fundamental assumptions\, expectations and procedures accepted by stakeholders? 
URL:https://www.scilifelab.se/event/networking-meeting-between-the-wallenberg-programs-data-driven-life-science-ddls-and-wasp-hs/
LOCATION:Air&Fire\, SciLifeLab Stockholm\, Tomtebodavägen 23A\, Solna\, Sweden
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