[External Registration Required] OSSci @ FOSDEM: science, open source and AI

Note: registration with your full name and email is required at:
[https://www.eventbrite.com/e/ossci-fosdem-advancing-science-through-open-source-and-ai-tickets-800246818777?aff=oddtdtcreator ](https://www.eventbrite.com/e/ossci-fosdem-advancing-science-through-open-source-and-ai-tickets-800246818777?aff=oddtdtcreator)

OSSci will be in town for FOSDEM, CHAOSSCon, and the EU Open Source Policy Summit 2024.
Join us for this meetup to explore the intersections of open source, AI, and scientific research.
Thanks to our community partner, Belgian PyTorch Meetup.
Thanks to IBM Belgium for providing venue space.

CONFIRMED TALKS & SPEAKERS
Introduction to Open-Source Science (OSSci) [5']

• Abstract: Open-Source Science (OSSci) is a new NumFOCUS initiative – launched in July 2022 in partnership with IBM – that aims to accelerate scientific research by improving the ways open source software in science gets done (built, used, funded, sustained, recognized, etc.). OSSci connects scientists, OSS developers and other stakeholders to share best practices, identify common pain points, and explore solutions together. This lightning talk will provide a brief overview of OSSci’s activities to date, our plans for 2024, and how you can get involved.
• Tim Bonnemann (IBM Research)

How comply with the EU AI Act [12']

• Abstract: The EU AI Act puts some constraints on the use of AI for various different use cases. Especially in areas like life sciences, ensuring strict principles when implementing AI models are mandatory for remaining compliant. We'll explain how to use existing MLOps practices to meet these requirements and enable the use of AI technologies while keeping the consumer's wellbeing in mind.
• Giulia Massimetti & Tristan Van Thielen

An Integrated Approach for Data Analysis of Drawings and Articles Related to Parkinson's Patients [8']

• Ardalan Mehraram (Dataroots)

An innovative approach for solving the Protein Folding problem using Open Source Qiskit [15']

• Abstract: Protein folding is half a century old problem of biology. Understanding protein structures and enzymes plays a critical role in target based drug design and innovating novel enzymes. Classical methods face challenges in generating extensive conformational samplings, making Quantum Computing based approaches advantageous. In this session we first introduce Quantum Computing and Qiskit, its Open Source SDK on top of Python. Next, we tell how the problem can transformed into a representation that is appropriate for solving it with Open Source Qiskit, and compare the results delivered by the proprietary CPLEX software.
• Wim Peeters (IBM Quantum Ambassador) and Eric Michiels (Qiskit Advocate)