
Baimam Boukar Jean Jacques
Research Assistant (Open Source DPI/DPG) at CyLab Africa
Kigali, Rwanda
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I am a Software Engineer with a Passion for Open Source. I love discovering new open source projects and understanding how they are powering developers. Fun fact: To the best of my ability, I always try to "Give Back" to open source packages, libraries, and software that really helped me by contributing or answering random questions on StackOverflow.
BECAUSE I UNDERSTAND THE WORLD DEPENDS ON OPEN SOURCE AND OPEN SOURCE DEPENDS ON ME.
Area of Expertise
Topics
Revitalizing Open Source with Best Practices for Impactful Projects and Contributions
Contributing to open source is more than writing code. It is about creating an ecosystem that’s secure, sustainable, and inclusive. This talk will delve into the essential best practices for contributing to open source projects to ensure that participants can effectively engage with the community, enhance their contributions, and foster a collaborative environment. The main areas include clear documentation, proper licensing, security and compliance, complete contributing guidelines, clear code of conduct, and project maintenance automation. This talk is aimed at developers, project maintainers, and organizations looking to contribute more effectively and responsibly to the open-source world.
Elevating Open Source with Best Practices for Sustainable and Inclusive Contributions
Open source success is built on more than code. It depends on strong foundations, thoughtful processes, and inclusive communities. This session explores actionable strategies that help projects and contributors thrive for the long term. We’ll cover how to craft documentation that empowers users and contributors alike, select and apply the right open licenses that protect both creators and adopters, and implement guidelines that make onboarding seamless. This session also explores how automation tools can streamline maintenance and reduce burnout among maintainers. Through practical examples and proven approaches, this session is aimed at developers, project maintainers, and organizations looking to contribute more effectively and responsibly to the open-source world.
Open Science by Design – Building AI Research Repositories for Reproducibility and Collaboration
This proposed session will guide researchers and developers through the practical steps of creating truly open, reproducible, and collaborative AI research repositories to make their work transparent, accessible, and reproducible for the entire community.
Participants will learn practical strategies for organizing experiments, code, datasets, and documentation in ways that maximize collaboration and trust. The main topics include structuring repositories for clarity, crafting effective README files, adding citation metadata for automatic referencing, selecting appropriate open licenses, and ensuring all steps and results can be easily reproduced by others.
Attendees will also explore the importance of FAIR (Findable, Accessible, Interoperable, Reusable) data practices and discover tools and templates to streamline the process. The real significance of this session is that, by adopting these approaches, researchers can ensure their work is not only open but also robust, verifiable, and ready to serve as a foundation for future research. This will help accelerate scientific discovery and foster a culture of shared progress in AI and beyond.
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