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BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20251103T100000
DTEND;TZID=Europe/Stockholm:20251103T150000
DTSTAMP:20260417T082632
CREATED:20250904T124941Z
LAST-MODIFIED:20251024T124227Z
UID:10001600-1762164000-1762182000@www.scilifelab.se
SUMMARY:AI Agents in Life Science
DESCRIPTION:We are delighted to invite you to join our upcoming workshop on “AI Agents in Life Science”\, co-organized between SciLifeLab Data Centre and eSSENCE. AI agents are emerging as autonomous systems that orchestrate scientific workflows by interacting with digital tools and data sources. These have various implications for life science research. They can\, for example\, simplify complex analyses by automating data integration\, run computational models\, and coordinate experimental steps\, making research pipelines more efficient and reproducible. In this onsite workshop held at Trippelrummet\, Navet\, Uppsala we will introduce and discuss AI Agents in life science\, and engage in collaborative practical sessions. Welcome! \n\n\n\nDate: 2025-11-03Time: 10.00-15.00 (coffee will be served outside Trippelrummet from 9.30). Fika and lunch provided free of charge. Location: Trippelrummet\, SciLifeLab\, Uppsala. No remote participation. \n\n\n\nTarget audience: Researchers and PhD students interested in learning more about and trying hands-on exercises with AI Agents. Basic Python programming skills are required. Participants must bring their own laptop.  \n\n\n\nSpeakers and Facilitators: Ola Spjuth\,Prof. SciLifeLab AI lead\, Chris Long Huynh\, MSc\, Uppsala University\, and Mahbub Ul Alam and Johan Alfredéen\, Data Engineers (AI) at SciLifeLab Data Centre. \n\n\n\nThe workshop will feature a series of engaging presentations\, interactive discussions\, and collaborative sessions focusing on: \n\n\n\n\nIntroduction to AI agent technologies\n\n\n\nApplications\, opportunities and challenges of AI Agents in life science\n\n\n\nHands-on tutorials with reasoning models\, LangChain and MCP servers\n\n\n\nDiscussions on the role of AI agents in shaping the future of life science\n\n\n\n\nAgenda \n\n\n\n09:30-10:00 Light breakfast and networking (outside Trippelrummet) \n\n\n\n10.00-10.15 Speaker: Ola Spjuth. Presentation session 1: Introduction: Exploring how AI agents can transform life sciences \n\n\n\n10.15-10.30 Facilitators: Johan Alfredéen\, Dinh Long Huynh. Demonstration Session: AI agents in action \n\n\n\n10:30-12:00 Session Facilitators: Dinh Long Huynh\, Mahbub Ul Alam. Hands-on Session 1: Developing AI agents with LangChain & ReAct \n\n\n\n12:00-13:00 Lunch and networking (outside Trippelrummet) \n\n\n\n13:00-13:15 Speaker: Johan Alfredéen. Presentation Session 2: Deploying AI Agents: Legal\, Technical\, and Practical Considerations \n\n\n\n13:15-14:45 Session Facilitators: Mahbub Ul Alam\, Johan Alfredéen\, Dinh Long Huynh. Hands-on Session 2: AI agent collaboration with the Model Context Protocol (MCP) \n\n\n\n14:45-15:00 Speaker: Ola Spjuth. Concluding Session: Open Q&A \n\n\n\n15:00 Fika and networking (outside Trippelrummet) \n\n\n\n \n\n\n\nRegistration: Please add dietary restrictions to your registration. If you cannot join please cancel your registration. Please register with your SciLifeLab or university email.  \n\n\n\nTHE EVENT IS FULL BUT YOU CAN REGISTER TO THE WAITING LIST \n\n\n\n\nRegistration\n\n\n\n\nThis event is a collaboration between SciLifeLab Data Centre and eSSENCE. For questions please contact  ola.spjuth@scilifelab.se 
URL:https://www.scilifelab.se/event/ai-agents-in-life-science-2025/
LOCATION:BMC Trippelrummet\, Husargatan 3\, entrance C11\, Uppsala\, Sweden
CATEGORIES:Event
ORGANIZER;CN="SciLifeLab Data Centre":MAILTO:datacentre@scilifelab.se
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20251111T100000
DTEND;TZID=Europe/Stockholm:20251111T113000
DTSTAMP:20260417T082632
CREATED:20251003T103235Z
LAST-MODIFIED:20251003T103236Z
UID:10001624-1762855200-1762860600@www.scilifelab.se
SUMMARY:Getting Started with Berzelius: Essential Commands
DESCRIPTION:Welcome to join this practical introduction to essential commands on Berzelius. The session will cover: \n\n\n\n\nLogging in\n\n\n\nManaging data\n\n\n\nSetting up environments\n\n\n\nRunning and monitoring jobs\n\n\n\n\nParticipants will also gain hands-on experience with these commands. By the end of the session\, you will be able to navigate Berzelius confidently and use its resources effectively for your research.  \n\n\n\nDate: Tuesday\, November 11\, 2025Time: 10:00–11:30 \n\n\n\nTarget audience: The online event is open for all current and prospective Berzelius users. Please read the eligibility requirements for accessing Berzelius.Place: Online via Zoom (link provided upon registration) \n\n\n\n\nRegistration\n\n\n\n\nPreliminary Agenda \n\n\n\nTimeSession TitleSpeaker(s)10:00–11:00Getting Started with Berzelius: Essential CommandsXuan Gu11:00–11:30Open Q&A SessionBerzelius Application Expert\n\n\n\nThis event is a collaboration between National Supercomputer Centre (NSC) at Linköping University and SciLifeLab Data Centre. \n\n\n\nFor questions please contact xuan.gu@liu.se  (Xuan Gu)
URL:https://www.scilifelab.se/event/getting-started-with-berzelius-essential-commands/
LOCATION:Zoom
ATTACH;FMTTYPE=image/jpeg:https://www.scilifelab.se/wp-content/uploads/2025/10/NSC-Berzelius-LiU-2025-3451-Photographer-Magnus-Johansson.jpg
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BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20251113T133000
DTEND;TZID=Europe/Stockholm:20251113T160000
DTSTAMP:20260417T082633
CREATED:20250903T073116Z
LAST-MODIFIED:20251105T121833Z
UID:10001595-1763040600-1763049600@www.scilifelab.se
SUMMARY:DDLS Annual Conference 2025 workshops
DESCRIPTION:During the second day of the  DDLS Annual Conference 2025 held at Uppsala Kongress och Konsert (UKK) participants will have an opportunity to attend one of the workshops. The workshops are directed at researchers in data-driven life science in all career stages. \n\n\n\nPlease note that each workshop has a limited number of seats\, on the first come first served basis. Those registered after the limit is reached will be placed on the waiting list. The workshops will take place in various rooms of the main venue of the conference –UKK All workshops start at 13:30 but end at various times. Coffee/tea and fika will be served during the workshops. \n\n\n\nFeel free to email datacentre@scilifelab.se with any questions about workshop 1 and 2 and traininghub@scilifelab.se for workshop 3. \n\n\n\nWorkshops\n\n\n\nWorkshop 1. Automating life science & biomedical tasks with LLMs and beyond: practical guide\n\n\n\nHeld by: Ola Spjuth (UU\, SciLifeLab AI Lead) and AI data engineers  Mahbub Ul Alam and Johan Alfredéen at SciLifeLab Data Centre \n\n\n\nWhere and when: November 13\, 2025 at 13:30-16:00\, room K1 (36 seats) UKK  \n\n\n\n\nRegistration\n\n\n\n\nDescription:  We will explore how artificial intelligence (AI) can help make your research more productive. You will see how AI agents can help youcreate new\, testable ideas. We will introduce modern agentic AI tools that can automatically handle many research tasks. These tools use powerful large language models (LLMs) to plan and perform complex jobs. You will learn how to apply them using several available cloudplatforms and open-source tools. The main goal is to show you how to use AI to speed up your work and discover new research questions. \n\n\n\nWorkshop participants can then choose from a number of hands-on exercises that they can complete on their own laptops. We will be available to help and answer questions.    \n\n\n\nWorkshop 2. Open Source Software for Research – Sharing Code and Software the Right Way\n\n\n\nHeld by: Chris Erdmann (Head of Open Science\, SciLifeLab) and coordinators Alma Nilsson\, Suné Joubert and Parul Tewatia SciLifeLab Data Centre \n\n\n\nWhere and when: November 13\, 2025 at 13:30-16:00\, room K2 (20 seats) UKK \n\n\n\n\nRegistration\n\n\n\n\nDescription: Research depends on software\, but without open and FAIR practices\, reproducibility and reuse are limited. Open-source software means code that is not only available but also licensed for free use\, modification\, and sharing. This workshop provides an overview of open science policy related to software\, and introduces the Open Science Software Checklist \, showing how to apply it to make research code adhere to open science policies and guidelines. Speaker at the workshop include Malin Sandström from the Swedish Research Council (Vetenskapsrådet) and researchers from the SciLifeLab research community\, as well as coordinators and data stewards from SciLifeLab Data Centre. \n\n\n\nParticipants should bring their own laptop and have a GitHub account. Having Visual Studio Code installed and connected to one’s GitHub is helpful but not required. \n\n\n\nWorkshop 3. Development of a Mastery Rubric for Data Driven Life Scientists\n\n\n\nHeld by: Jill Jaworski\, SciLifeLab Training Hub \n\n\n\nWhere and when: November 13\, 2025 at 13:30-16:00\, room K3+K4 (90 seats) UKK \n\n\n\n\nRegistration\n\n\n\n\nDescription: What is a data-driven life scientist? What knowledge\, skills and abilities do these individuals have and what core competencies do they share within their respective expertise-areas? What distinct characteristics set them apart from other life-scientists? \n\n\n\nIn this interactive workshop\, through facilitated discussions and collaborative exercises\, we will come to a shared understanding of what is required in this profession. We will create a Rubric that outlines the different knowledge\, skill and ability areas of data-driven life scientists and map these competencies against beginner\, intermediate and mastery levels. \n\n\n\nIn this way\, we will help define the scope of data-driven life scientists and demonstrate what is needed for them to progress along learning paths from beginners to masters in their subject areas\, thereby helping them understand how and where they can develop professionally. Amid quickly changing scientific landscapes\, complex and pressing real-world issues\, and growing mistrust in science\, it is important to create a shared framework for what we mean when we describe data-driven life scientists\, which will help bring credibility to the profession\, trust\, and clear guidance on how to professionally develop. \n\n\n\nParticipants will need to bring a laptop or tablet to this workshop to be able to fully participate.
URL:https://www.scilifelab.se/event/ddls-annual-conference-2025-workshops/
LOCATION:Uppsala Konsert & Kongress\, Vaksala torg 1\, Uppsala\, 75331\, Sweden
CATEGORIES:Event
ORGANIZER;CN="SciLifeLab Data Centre":MAILTO:datacentre@scilifelab.se
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20251121T100000
DTEND;TZID=Europe/Stockholm:20251121T110000
DTSTAMP:20260417T082633
CREATED:20251107T112045Z
LAST-MODIFIED:20251117T092828Z
UID:10001661-1763719200-1763722800@www.scilifelab.se
SUMMARY:Rapid traversal of vast chemical space using machine learning-guided docking screens to accelerate drug discovery
DESCRIPTION:Speaker: Israel Cabeza de Vaca\, Uppsala university (Jens Carlsson group). \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\nAbstractThe rapid expansion of make-on-demand chemical libraries now offers access to tens of billions of synthetically accessible molecules\, creating unprecedented opportunities for structure-based drug discovery. However\, screening such ultra-large libraries remains computationally prohibitive\, even with state-of-the-art docking methods.In this presentation\, I will describe a hybrid virtual screening strategy that integrates molecular docking with machine learning to efficiently navigate chemical space at the billion-compound scale. The workflow involves docking approximately one million compounds to a target protein and training a classification model to recognize high-scoring molecules. Using conformal prediction\, the model guides compound selection from multi-billion-scale libraries\, drastically reducing the number of molecules requiring explicit docking.Among several algorithms evaluated\, CatBoost provided the best balance between accuracy and computational efficiency\, enabling large-scale applications. When applied to a 3.5-billion-compound library\, this approach reduced the computational cost of virtual screening by over three orders of magnitude. Experimental validation identified novel ligands for multiple G protein–coupled receptors\, including compounds exhibiting designed multi-target activity.These results demonstrate how combining AI-based prediction with physics-based docking can make ultra-large-scale virtual screening a practical and powerful tool for modern drug discovery. \n\n\n\nContactFor questions\, contact bengt.sennblad@scilifelab.se \n\n\n\nzoom link
URL:https://www.scilifelab.se/event/rapid-traversal-of-vast-chemical-space-using-machine-learning-guided-docking-screens-to-accelerate-drug-discovery/
LOCATION:Online event via Zoom
CATEGORIES:Event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20251125T110000
DTEND;TZID=Europe/Stockholm:20251125T120000
DTSTAMP:20260417T082633
CREATED:20251023T090757Z
LAST-MODIFIED:20251204T093012Z
UID:10001643-1764068400-1764072000@www.scilifelab.se
SUMMARY:FAIR play: Mastering Metadata to Empower Life Scientists
DESCRIPTION:Unlock the potential of your research by mastering meta(data) management in and the FAIR Data Principles—Findable\, Accessible\, Interoperable\, and Reusable. This session offers practical guidance tailored for life scientists\, focusing on best practices to organise and share your data effectively. The talk will focus on how good metadata practices can enhance collaboration\, ensure reproducibility\, and align your work with Open Science principles\, ultimately increasing the impact of your research. \n\n\n\nPresenter: Parul Tewatia\, PhD\, project coordinator (FAIR metadata and semantic technologies)\, SciLifeLab Data Centre \n\n\n\nRecording: https://youtu.be/mc4BOOoLTMASlides: https://doi.org/10.17044/scilifelab.28615511 \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-fair/
CATEGORIES:Event
ATTACH;FMTTYPE=image/png:https://www.scilifelab.se/wp-content/uploads/2024/02/DC_seminar-series_background1-1.png
ORGANIZER;CN="Open Science Seminar Series":MAILTO:data-management@scilifelab.se
LOCATION:https://uu-se.zoom.us/j/62780940554?from=addon
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