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X-WR-CALDESC:Events for SciLifeLab
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DTSTART;TZID=Europe/Stockholm:20261120T100000
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DTSTAMP:20260903T114748Z
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UID:10001886-1795168800-1795172400@www.scilifelab.se
SUMMARY:Extreme food risk analytics (Horizon Europe)
DESCRIPTION:Tony Lindgren \n\n\n\nNBIS and SciLifeLab Data Centre arrange an open SciLifeLab AI Seminar Series aimed at knowledge-sharing about Artificial Intelligence and applications in the Life Science community. The seminar series is open to everyone. The seminar is run over Zoom on the third Friday of the month during academic terms\, typically between 10 and 11 am\, with approx. 45 min presentation and 15 min discussion. \n\n\n\nWhen: November 20\, 10:00-11:00 \n\n\n\nWhere:  Zoom http://meet.nbis.se/ainw \n\n\n\nSpeaker: Tony Lindgren \n\n\n\nSenior Lecturer\,. Head of the Systems Analysis and Security Unit\, Department of Computer and Systems Sciences (DSV)\, Stockholm University \n\n\n\nAbstract \n\n\n\nI will present an overview of the research project\, Extreme Food Risk Analytics (EFRA) and also more deeply present some of the contributions made by Stockholm University within this setting. \n\n\n\nThe aim of the project was to increase food safety for European citizens. The project acknowledges that there is a wide array of data sources holding crucial information about the food that we eat. The problem is that these sources are heterogeneous – and sometimes hidden. In the project we explored how data can be mined\, aggregated and analyzed using AI. Not taking full advantage of this wealth of public and private data comes at a great cost: Despite best efforts and modern techniques\, consumers world-wide still get sick from contaminated foodstuff and food companies suffer huge economic and legal penalties from product food recalls. \n\n\n\nEFRA’s core ambition was to overcome these boundaries by exploring novel\, experimental and promising approaches in extreme data mining\, aggregation\, and analytics technologies. By recognizing and collecting this wealth of heterogeneous data\, scattered throughout the internet\, and convert it into a “universal language” of high-quality risk food data\, EFRA will be able to train AI-models to proactively provide risk mitigation measures (based on predictive awareness of short- and long-term risks) with an explainable\, secure\, sensitive\, accurate\, trustworthy\, fair and green manner\, before occurrence of potential food safety hazard. \n\n\n\n \n\n\n\nAbout the speaker: The speaker is an associate professor at the Department of Computer and Systems Sciences (DSV)\, Stockholm University. In 2006 he received his Ph.D. degree in computer and system sciences. He has worked both in academia and industry since 2008\, he is the inventor of numerous patents and the author of numerous scientific articles. His research is aimed at exploring machine learning in general but has a special interest in using data-driven methods for predictive maintenance problems. During his time at Scania\, Dr. Lindgren worked on applying his research to solve practical problems such as the maintenance optimization of Scania heavy trucks. Since 2019\, Tony Lindgren has been the head of the Systems Analysis and Security Unit at DSV\, Stockholm University. \n\n\n\nTo stay updated\, you can join our email list by contacting ai-network@scilifelab.se. \n\n\n\n\nJoin Seminar
URL:https://www.scilifelab.se/event/extreme-food-risk-analytics-horizon-europe/
LOCATION:Online event via Zoom
CATEGORIES:Event
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DTSTART;TZID=Europe/Stockholm:20261204T101500
DTEND;TZID=Europe/Stockholm:20261204T163000
DTSTAMP:20261105T082825Z
CREATED:20261013T183155Z
LAST-MODIFIED:20261105T082825Z
UID:10001900-1796379300-1796401800@www.scilifelab.se
SUMMARY:Research Data Management in Life Science - Lund
DESCRIPTION:Location: Forum Medicum\, Rådslaget seminar room\, Lund. On-site event co-arranged by SciLifeLab Data Centre\, NBIS & SciLifeLab Lund in collaboration with the eScience Hub at Lund University. \n\n\n\nMake the most of your research data \n\n\n\nHow can you effectively manage\, share and safeguard your research data while following current requirements and best practices? \n\n\n\nJoin SciLifeLab Data Centre\, National Bioinformatics Infrastructure Sweden (NBIS) and SciLifeLab Lund for an interactive event on research data management in the life sciences. Local and national experts will provide practical guidance and discuss available support for research data handling\, GDPR\, FAIR principles and Open Science. \n\n\n\nThe event is aimed at life-science researchers and research infrastructure staff in the Lund area who want to strengthen their data management practices and learn more about available support. \n\n\n\nThe format will be informal and interactive\, with plenty of opportunities to ask questions\, share experiences and join the discussion. \n\n\n\nWelcome to join us! \n\n\n\n\nRegister here\n\n\n\n\nRegistration deadline: 29 November\, 2026 \n\n\n\nPROGRAM\n\n\n\nNote: It is important to bring a laptop to actively participate in the workshops.  \n\n\n\n10.00-10.15: Welcome coffee/tea\nEveryone is welcome for the coffee/tea. You can just walk in between 10.00-10.15. \n\n\n\n\n10.15-10.30: Introduction\nIntroduction of the program.   \n\n\n\n\n10.30-12.00: Handling personal data in Life Science – Navigating GDPR and Swedish legislation \nAre you confident in how your research project documents and processes personal data? This seminar guides you through the legal landscape\, from the GDPR to specific Swedish national laws. Using a practical research scenario\, we will clarify essential roles and terms\, including: \n\n\n\n\nResearch principal (forskningshuvudman): Understanding the role and responsibilities of the organisation hosting the research.\n\n\n\nData controllers vs. processors: Identifying who is responsible for each stage of data processing.\n\n\n\nSensitive data: Best practices for securely sharing biomedical research data in FEGA Sweden while remaining compliant.\n\n\n\n\n \n\n\n\n \n\n\n\n\n12.00-13.00: Lunch break\nLunch is not included in this event. At Forum Medicum and the surrounding area you will find several options for lunch. \n\n\n\n\n13.00-13.45: Writing a strong Data Management Plan (DMP) – Improving the lifecycle of your research data\nManaging research data involves a complex web of decisions. How do you ensure nothing falls through the cracks and that your data remains FAIR? The answer is a Data Management Plan (DMP). \n\n\n\nThis hands-on workshop emphasises data management planning at all project phases to keep your data secure and organised. Participants will gain direct access to the Data Stewardship Wizard (DSW) tool to begin drafting a customised DMP tailored to life science research projects. \n\n\n\n\n13.45-14.30: Marketplace: an interactive exhibition – including fika for registered participants\nVisit the Interactive Marketplace to explore local and national research data management services in an engaging and informal setting. Meet experts\, discover practical support and tools\, join interactive discussions\, and learn how different services can support your research.Interested in contributing to the Marketplace and showcasing your data management support services? Please contact: sophie.hellstrand@scilifelab.se \n\n\n\n\n14.30-15.30: Open source software for research – Sharing code the right way\nResearch depends on code\, but without open and FAIR practices\, code can be difficult to understand\, reproduce\, and reuse. Open-source refers to code that is not only available\, but also licensed for free use\, modification\, and sharing. This workshop provides an overview of open and FAIR practices for research code\, and provides practical resources at three different levels; beginner\, intermediate and advanced. Participants will apply these principles in a hands-on tutorial to improve the openness\, transparency\, and reusability of their research code. \n\n\n\n\n15.30-15.45: Wrap up\nWrap up of the day. \n\n\n\n\n15.45-16.30: Hands on / hackathon\nTake this opportunity to apply what you’ve learned directly to your own research. Experts from SciLifeLab Data Centre and NBIS will be available to assist with making your code more open\, structuring your DMP\, or solving specific data management questions. Bring your laptop and leave with practical progress on your project. \n\n\n\n\n \n\n\n\nMore information on Research Data Management and Open Science\n\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. \n\n\n\nOpen 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\n\nContact information: NBIS\, SciLifeLab Data Centre – Data Management\, and SciLifeLab Lund. For questions\, please contact: sophie.hellstrand@scilifelab.se
URL:https://www.scilifelab.se/event/research-data-management-in-life-science-lund/
LOCATION:Forum Medicum\, Sölvegatan 19\, Lund\, 223 62\, Sweden
CATEGORIES:Event
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ORGANIZER;CN="SciLifeLab Lund":MAILTO:lund@scilifelab.se
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