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2024

Virtual 2 Day Workshop SABIO-RK and FAIRDOMHub / FAIRDOM-SEEK

SABIO-RK is a manually curated database for biochemical reactions and their kinetic properties. FAIRDOMHub is a free research data management platform built upon the FAIRDOM-SEEK software. FAIRDOM-SEEK contains specific features for systems biologists for data and model management. This is an introductory course for SABIO-RK and FAIRDOMHub. You have the option to participate in either one or both of the courses.

SABIO-RK: 25-NOV-2024 2:00 pm - 5:00pm (CET / UTC +1)

FAIRDOM-SEEK: 26-NOV-2024 2:00 pm - 6:00pm (CET / UTC +1)

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Crash Course in Data Management - 18.09.2024

Data management is an essential part of scientific research and is crucial for maximizing the value of data. Crash course in Data Management is an introductory course that equips researchers with the necessary skills for effective organization and management of research data. Participants will gain knowledge of best practices in data documentation, backup, and sharing. We will go through exercises and assignments to reinforce new knowledge.

Online: Ensuring More Accurate, Generalisable, and Interpretable Machine Learning Models for Bioinformatics

This course is addressed to life scientists, bioinformaticians, and computational biologists who would like to learn more about general best practices in Machine Learning and get more out of their Machine Learning models: more precise hyper-parameters, more generalizable models, and more interpretable models.

Application deadline: 29 September 2024

Date: 15 October 2024

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Online: BioModels ML Hackathon

This remote event focuses on applying FAIR principles to machine_learning models in the life sciences, enhancing their reproducibility and utility.

Why Participate?

  • Engage in hands-on activities to make ML models more Findable, Accessible, Interoperable, and Reusable.
  • Collaborate with experts and peers to boost the impact of your work.
  • Contribute to a leading community resource while gaining recognition for your expertise.

The hackathon is ideal for researchers, data scientists, and developers at the intersection of AI/ML and life sciences.

Date: 20 - 21 June

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