BEGIN:VCALENDAR VERSION:2.0 PRODID:-//WASP-HS - ECPv6.15.17//NONSGML v1.0//EN CALSCALE:GREGORIAN METHOD:PUBLISH X-WR-CALNAME:WASP-HS X-ORIGINAL-URL:https://wasp-hs.org X-WR-CALDESC:Events for WASP-HS REFRESH-INTERVAL;VALUE=DURATION:PT1H X-Robots-Tag:noindex X-PUBLISHED-TTL:PT1H BEGIN:VTIMEZONE TZID:Europe/Stockholm BEGIN:DAYLIGHT TZOFFSETFROM:+0100 TZOFFSETTO:+0200 TZNAME:CEST DTSTART:20230326T010000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:+0200 TZOFFSETTO:+0100 TZNAME:CET DTSTART:20231029T010000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:+0100 TZOFFSETTO:+0200 TZNAME:CEST DTSTART:20240331T010000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:+0200 TZOFFSETTO:+0100 TZNAME:CET DTSTART:20241027T010000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:+0100 TZOFFSETTO:+0200 TZNAME:CEST DTSTART:20250330T010000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:+0200 TZOFFSETTO:+0100 TZNAME:CET DTSTART:20251026T010000 END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTART;TZID=Europe/Stockholm:20240924T080000 DTEND;TZID=Europe/Stockholm:20240925T170000 DTSTAMP:20260605T185636 CREATED:20240514T080512Z LAST-MODIFIED:20240514T080512Z UID:19242-1727164800-1727283600@wasp-hs.org SUMMARY:The Disruptive Role of Data and AI in the Life Sciences DESCRIPTION:Practicalities\n \n \n \n \n \n \n \n Registration\n \n \n \n \n \n \n \n Program\n \n \n \n \n \n \n \n Keynotes\n \n \n \n \n \n \n \n Background\n \n \n \n \n \n \n \n Open Calls\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n A Joint Conference between DDLS\, WASP and WASP-HS\n \n \n \n \n \n The conference will focus on different aspects of research\, where collaboration over scientific domains is essential\, and will explore the following topics: \n– How data- and AI-driven research is shaping the future of life science– Development of new approaches to human-in-the-loop technologies and their use– The need for studies at the intersection of society\, AI\, and data driven life sciences \nParticipants will have the opportunity to network\, be inspired by excellent international keynote speakers\, and take part of 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 \n \n \n Practical Details\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Dates and timesSeptember 24\, 12:00 – September 25\, 12:30Registration is open from 11:00 on September 24. \n \n \n \n \n \n Information for registered poster– size of poster 90x 120 cm portrait format– posters can be hung on the 24th of September from 11:00 and should be done by 12:00– poster should be removed after the end of the conference on the 25th. You are responsible for your poster. Forgotten posters will not be saved. \nDuring the poster session 17:15-19 on the 24th of September we would appreciate if you are available by your poster for discussions and questions. During the Magnet mingle on the 25th you are also welcome to be by your poster. \n \n \n \n \n \n \n \n \n \n \n \n VenueWallenberg Conference Center\, Medicinaregatan 20 A\, Gothenburg \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Registration to the Conference\nThe registration is closed. \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Program\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 24 September\n11:00 Registration opensPosters are to be hung up from 11:00 and should be done by 12:00. \n12:00 – 13:00 Lunch \nStart of conference \n13:00 – 13:15 Opening Program DirectorsChristofer Edling\, WASP-HSOlli Kallioniemi\, DDLSAnders Ynnerman\, WASPChair\, Rebecka Jörnsten \n13:15-14:00 Keynote speaker Sunduz KelesIntegrative Approaches to Single-Cell Genomics for Personalized MedicineChair\, Rebecka Jörnsten \n14:05- 14:50 Keynote speaker Ross KingThe Automation of ScienceChair\, Rebecka Jörnsten \n14:50-15:20 Coffee \n15:20-16:20 Project presentation WASP DDLS (4 *15 min)Christopher Sprague\, Incorporating Stability Into Flow MatchingBjörn Wallner\, Improved protein structure prediction by adding noise at  inferenceHedvig Kjällström TBDAlexander Schliep and Pär Mattsson Molecular simulation and machine learning to delineate target binding of therapeutic oligonucleotidesChair\, Päivi Östling \n16:20-17:05 Project presentation WASP-HS DDLS (3* 15 min)Harald Hammarström\, Linguistic Diversity Through the Prism of BiodiversityStanley Greenstein\, AI in the Health Care Sector – Legal ChallengesSonja Aits\, Mapping the Nexus of Biodiversity\, Climate Change\, Human Society and Health using Large Language Models and other Data Science ApproachesChair\, Stefan Larsson \n17:15: – 19:00 Finger food and poster session \n  \n \n \n \n \n \n \n \n \n \n \n \n 25 September\n08:30-9:30 Project presentation WASP DDLS (4*15 min)Ingrid Hotz\, Tino Ebbers\, Characterization and visualization of cardiac spectral imaging dataSebastian Westenhoff\, cryoSPHERE: Single-particle heterogeneousreconstruction from cryo EMAndreas Kerren\, Visual Analytics for Enhancing Quality and Trust in Genome-wide Expression Clustering and AnnotationMinh Hoang Vu\, Anonymization of Data in Precision Medicine ResearchChair\, Olli Kallioniemi \n09:30-10:45 Magnet mingle including coffeeChair\, Rebceka Jörnsten and Christofer Edling \n10:45-11:30 Keynote Speaker: Klaus HøyerAll the data from everywhere all at once: data integration\, AI imaginaries\, and their unpredictable outcomesChair\, Christofer Edling \n11:30-12:15 Panel on common research challengesSunduz Keles\, Ross King\, Klaus Hoyer\, Andreas Kerren\, Tino EbbersModerators\, Rebecka Jörnsten and Stefan Larsson \n12:15 Closing remarks\, Program DirectorsChristofer Edling\, WASP-HSOlli Kallioniemi\, DDLSRebecka Jörnsten WASP \n12:30 Lunch to go \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Keynote Speakers\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Sunduz Keles \n \n \n \n \n \n \n \n \n \n \n \n Title: Integrative Approaches to Single-Cell Genomics for Personalized MedicineBio: Dr. Keles obtained her Ph.D. in Biostatistics from the University of California at Berkeley. After a year-long postdoctoral appointment at UC Berkeley\, she joined the Department of Biostatistics and Medical Informatics and the Department of Statistics at the University of Wisconsin\, Madison. She has twenty years of experience in developing statistical and computational methods for genomics\, including serving as an ENCODE PI\, and pioneering foundational statistical models for leveraging multi-mapping reads in high throughput sequencing data analysis (ChIP-seq\, Hi-C). \nHer research interests span developing statistical and computational methods for denoising and signal extraction from sequencing data and modeling of high dimensional data. Her computational approaches led to fundamental contributions on how GATA factors mediate transcriptional regulation in HSPCs and erythroid cells. Dr. Keles is an elected fellow of the American Statistical Association. \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Klaus Lindgaard Høyer \n \n \n \n \n \n \n \n \n \n \n \n Title: All the data from everywhere all at once: data integration\, AI imaginaries\, and their unpredictable outcomesBio: Klaus Hoeyer is professor of Medical Science and Technology Studies at the Centre for Medical Science and Technology Studies\, University of Copenhagen. His research focuses on the links between policy\, practice and experience in relations to medical research and clinical practice. In recent years\, he has focused mainly on what he calls intensified data sourcing in healthcare and how it interacts with and changes the health services. This research is primarily financed by the European Research Council. \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Ross D. King \n \n \n \n \n \n \n \n \n \n \n \n Title: The automation of scienceBio: Ross D. King did his PhD on applying machine learning to predicting protein structure at the Turing Institute in Glasgow. He has joint positions at Chalmers Institute of Technology\, and the University of Cambridge. He is one of the most experienced machine learning researchers in Europe. \nHis main research interest is the interface between computer science and science. He originated the idea of a ‘Robot Scientist’: integrating AI and laboratory robotics to physically implement closed-loop scientific discovery. His Robot Scientist ‘Adam’ was the first machine to autonomously discover scientific knowledge. His Robot Scientist ‘Eve’ is currently searching for drugs against neglected tropical diseases\, and COVID.  His other core research interest is DNA computing. \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Hedvig Kjellström \n \n \n \n \n \n \n \n \n \n \n \n Title: Unraveling the secrets of nature’s high-performance fiberBio: Hedvig Kjellström is a Professor in the Division of Robotics\, Perception and Learning at KTH Royal Institute of Technology\, Sweden\, and also affiliated with Swedish University of Agricultural Sciences\, Swedish e-Science Research Centre\, and Max Planck Institute for Intelligent Systems\, Germany. She received an MSc in Engineering Physics and a PhD in Computer Science from KTH in 1997 and 2001\, respectively\, and thereafter worked at the Swedish Defence Research Agency\, before returning to a faculty position at KTH. Her present research focuses on methods for enabling artificial agents to interpret human and animal behavior. These ideas are applied in the study of human aesthetic bodily expressions such as in music and dance\, modeling and interpreting human communicative behavior\, and the understanding of animal behavior and experiences. In order to accomplish this\, methods are developed for agents to perceive the world and build representations of it through vision. \nHedvig has received several prizes for her research\, including the 2010 Koenderink Prize for fundamental contributions in computer vision. She has written around 150 papers in the fields of computer vision\, machine learning\, robotics\, information fusion\, cognitive science\, speech\, and human-computer interaction. She is mostly active within computer vision\, where she is an Editor-in-Chief for CVIU\, a Program Chair for CVPR 2025\, and regularly serves as Area Chair for the major conferences. \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Ingrid Hotz \n \n \n \n \n \n \n \n \n \n \n \n Title: Characterization and visualization of cardiac spectral imaging dataBio: Ingrid Hotz is a professor at Linköping University in Sweden\, leading the Scientific Visualization group in the Department of Science and Technology. She holds an M.S. in theoretical physics from Ludwig Maximilian University\, Munich\, and a Ph.D. in computer science from the University of Kaiserslautern. Hotz has held research positions at the Institute for Data Analysis and Visualization (IDAV) at UC Davis\, the Zuse Institute Berlin\, and the German Aerospace Center (DLR). Since 2015\, she has been a professor at Linköping University and was named the Dr. Ram Kumar IISc Distinguished Visiting Chair Professor at the Indian Institute of Science in 2022. \nHer research focuses on scientific visualization and topological data analysis\, aiming to develop advanced visual analysis tools for complex datasets across various fields\, including engineering\, physics\, chemistry\, and medicine. She integrates methods from computer science and mathematics\, such as computer graphics and computational topology\, with a participatory design approach to ensure practical and relevant solutions. \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Tino Ebbers \n \n \n \n \n \n \n \n \n \n \n \n Title: Characterization and visualization of cardiac spectral imaging dataBio: Tino Ebbers is a professor of physiological measurements at Linköping University\, with a focus on cardiac imaging\, modeling\, and simulation. He holds an MSc in Electrical Engineering from the University of Twente and a PhD in Biomedical Engineering from Linköping University. After completing his PhD\, he worked at Philips Medical Systems before returning to academia. He also served as a visiting professor at the University of California\, San Francisco. \nWith over 100 publications in leading scientific journals and numerous contributions to international conferences\, Tino Ebbers has made a significant impact through his multidisciplinary approach to merging technical research with clinical applications. He is best known for pioneering 4D flow MRI\, a breakthrough technology now widely used to study cardiovascular blood flow in both research and clinical settings. His contributions have greatly advanced cardiovascular imaging and led to major innovations in the diagnosis\, treatment\, and management of cardiovascular diseases. \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Background\nSince 2021 the Wallenberg AI\, Autonomous Systems and Software Program (WASP) and the SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS) are collaborating through joint research projects with the ultimate goal of solving ground-breaking research questions across disciplines. \nIn line with this\, the programs will now host the first joint annual conference\, where common research topics are highlighted. Additionally\, the increasingly important humanity and societal aspects of the research will be addressed through participation of the WASP-HS program (Wallenberg AI\, Autonomous Systems and Software Program – Humanity and Society). \nWASPDDLSWASP-HS \n \n \n \n \n \n Open Calls\nThe conference is an opportunity to find collaborators for the two open calls: \nWASP-DDLS: NEST projects https://wasp-sweden.org/calls/call-for-joint-wasp-and-ddls-nests/ \nWASP-HS-DDLS: Research Initiation Grants for Data-Driven Life Sciences and Society https://wasp-hs.org/open-call-research-initiation-grants-for-data-driven-life-sciences-and-society/ URL:https://wasp-hs.org/event3/the-disruptive-role-of-data-and-ai-in-the-life-sciences/ ATTACH;FMTTYPE=image/jpeg:https://wasp-hs.org/wp-content/uploads/2024/05/WASP-WASP-HS-DDLS.jpg END:VEVENT END:VCALENDAR