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DTSTART;TZID=Europe/Stockholm:20251002T090000
DTEND;TZID=Europe/Stockholm:20251002T150000
DTSTAMP:20260417T094946
CREATED:20250609T130305Z
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SUMMARY:Data Delivery System (DDS) Workshop for Beginner Unit Users
DESCRIPTION:Title: “Data Delivery System (DDS) Workshop for Beginner Unit Users”  \n\n\n\nWhen: Oct 2\, Trippelrummet\, BMC\, Uppsala \n\n\n\nRegistration: Last day to register: Sept 24 24.00 \n\n\n\nThe “Data Delivery System (DDS) Workshop for Beginner Unit Users” workshop is on the beginner level\, e.g. for personnel within units that are new to the DDS or that haven’t used it at all previously. The workshop will include hands-on introductions to registration\, client installation & project access management. There will also be a session looking to the future of DDS: future plans and gathering end-user input. \n\n\n\n \n\n\n\nThis workshop is limited to 40 participants and we’d like as many SciLifeLab units as possible to be represented\, so would really appreciate you coordinating within your unit to decide who should attend. If there is sufficient demand\, this workshop will run again in the future. Coffee and lunch will be provided during the workshop. Please remember to add any dietary restrictions to your registration. If the event is fully booked there will be a waiting list if any attendee is cancelling their participation. \n\n\n\nPreliminary Agenda:09:00-09:30:    Coffee09:30-09:40:    Welcome & Practical info09:40-10:00:    Intro to DDS10:00-10:45:    Registration\, client installation10:45-11:00:    Coffee 11:00-12:00:    Projects12:00-13:00:    Lunch 13:00-13:45:    Project life cycle13:45-14:00:    Break14:00-15:00:    Support model\, future development\, feedback \n\n\n\nWelcome! \n\n\n\n\nRegistration\n\n\n\n\n \n\n\n\nFor questions about the workshop contact SciLifeLab Data Centre datacentre@scilifelab.se
URL:https://www.scilifelab.se/event/dds-workshop-for-beginner-unit-users/
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:20251009T090000
DTEND;TZID=Europe/Stockholm:20251009T120000
DTSTAMP:20260417T094946
CREATED:20250919T150229Z
LAST-MODIFIED:20250919T150230Z
UID:10001618-1760000400-1760011200@www.scilifelab.se
SUMMARY:Practical Machine Learning
DESCRIPTION:Machine learning (ML) is a rapidly growing field within artificial intelligence (AI) that focuses on building systems capable of learning from data. Instead of being explicitly programmed with detailed rules\, the ML models identify patterns and make predictions or decisions based on historical data. This approach has revolutionized many industries\, including healthcare\, finance\, marketing\, and technology\, enabling applications like personalized recommendations\, fraud detection\, and speech recognition. As the volume of data continues to grow\, understanding ML concepts and techniques becomes increasingly important for anyone interested in working with data science or building intelligent systems. \n\n\n\nThis three hour online webinar is meant to give a comprehensive introduction to the fundamental principles and practical aspects of ML. It will start from the fundamentals of ML including basic concepts\, ML types\, and representative applications of ML\, and then progress to practical techniques for data preprocessing\, model selection\, training\, evaluation\, and assessment. Participants will explore supervised (classification and regression) and unsupervised (clustering and dimensionality reduction) tasks using varied ML algorithms\, such as k-nearest neighbors (KNN)\, linear/logistic regressions\, decision tree\, random forest\, support vector machine (SVM)\, naive bayes\, k-means\, and neuron networks. \n\n\n\nFeel free to join (and leave) whenever depending on your interest. The online event is open for all present and prospective Berzelius users. \n\n\n\nPlace: Online via Zoom. The link will be provided upon registration.Time:  Thu Oct. 9th\, 2025 9:00 – 12:00\, \n\n\n\n\nRegistration\n\n\n\n\nTentative Schedule\n\n\n\nTimeContentsInstructor(s)09:00-09:10Welcome & Introduction 09:10-09:40Fundamentals of MLYonglei Wang09:40-10:15Supervised ML (I): ClassificationYonglei Wang10:15-10:50Supervised ML (II): RegressionYonglei Wang10:50-11:00Break 11:00-11:20Unsupervised ML (I): ClusteringYonglei Wang11:20-11:40Unsupervised ML (II): Dimension ReductionYonglei Wang11:40-12:00Q/A\n\n\n\n \n\n\n\nPrerequisites \n\n\n\nTo ensure a smooth learning experience\, participants should have: \n\n\n\n-(optional) an active project on Berzelius if you plan to follow along on the system \n\n\n\n-basic proficiency in Python programming (variables\, loops\, functions) and some libraries like NumPy\, Pandas\, and Matplotlib/Seaborn \n\n\n\n-familiarity with basic statistics and linear algebra concepts (e.g.\, mean\, median\, standard deviation\, vectors\, matrices) \n\n\n\n \n\n\n\nThis event is a collaboration between National Supercomputer Centre at Linköping University (NSC) and SciLifeLab Data Centre. \n\n\n\nFor questions contact yonglei.wang@liu.se or xuan.gu@liu.se  \n\n\n\n\n\n\n\n\n\n\n\n\n\n\nhttps://www.nsc.liu.se/support/Events/Berzelius_training_Oct2025
URL:https://www.scilifelab.se/event/practical-machine-learning/
LOCATION:Zoom
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BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20251015T110000
DTEND;TZID=Europe/Stockholm:20251015T120000
DTSTAMP:20260417T094946
CREATED:20250915T125335Z
LAST-MODIFIED:20251125T145149Z
UID:10001614-1760526000-1760529600@www.scilifelab.se
SUMMARY:Onto-what? Everything you (n)ever wanted to know about ontologies or were too embarrassed to ask
DESCRIPTION:The use of ontologies is a cornerstone of data interoperability and reusability\, representing an essential precursor to cross-domain data integration\, modelling\, knowledge discovery and even the exploitation of new AI-related technologies. Despite all this\, ontologies are still sadly underused in existing data management practices for several reasons\, including their perceived complexity\, insufficient knowledge of available tooling solutions and lack of easily accessible best practice guidance. In this session\, we will demystify the world of ontologies by clearing up some common misconceptions and provide you with an overview of existing tools and resources for using ontologies more effectively in your work. \n\n\n\nPresenter: Danielle Welter – Principal Data Scientist\, Luxembourg National Data Service (LNDS) – ELIXIR Luxembourg \n\n\n\nMore information\n\nThis event is part of the SciLifeLab Data Management 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 Data Management 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/datamanagement-ontologies/
LOCATION:virtual event
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:20251017T100000
DTEND;TZID=Europe/Stockholm:20251017T110000
DTSTAMP:20260417T094946
CREATED:20251008T090307Z
LAST-MODIFIED:20251008T090308Z
UID:10001633-1760695200-1760698800@www.scilifelab.se
SUMMARY:Training AI models to predict a person’s health status and biological age from DNA methylation data
DESCRIPTION:Speaker: Maria Lerm\, Linköping university. \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\nAbstractPrecision medicine has long been synonymous with genomics\, yet this narrow view overlooks the profound influence of an individual’s lifestyle\, environmental exposures\, infections\, and other stressors on disease risks of common diseases. In fact\, the lasting epigenetic marks caused by these stressors predict disease risks far more powerfully than identification of disease-predisposing genetic variants. \n\n\n\nIn this talk I will tell you about our project in which we train AI models on rich health data and DNA methylome data to make predictions regarding a persons biological age as well as cardiovascular\, metabolic and lung health. I will reveal how the unique explainability built into our AI architecture can find causality in cellular processes contributing to ageing on an individual basis. \n\n\n\nContactFor questions\, contact bengt.sennblad@scilifelab.se \n\n\n\n\nZoom link
URL:https://www.scilifelab.se/event/training-ai-models-to-predict-a-persons-health-status-and-biological-age-from-dna-methylation-data/
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