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README.md
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# Hugging Science
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- Build open toolkits, benchmarks, and workflows
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- Support cross-disciplinary exchange & education
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- Nurture a vibrant community at the interface of domain science and machine learning
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- Learn together
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- [GitHub](https://github.com/hugging-science) — open source projects & contributions
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<!--  -->
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<div style="max-width: 100%; overflow: hidden;">
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<img src="https://cdn-uploads.huggingface.co/production/uploads/680ff4388f704be391757780/XCrsh1YyHF1S-u9Q035zf.png"
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alt="Hugging Science"
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style="width: 100%; height: 700px;">
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</div>
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# Hugging Science
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**Community-driven open science for the age of AI**
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## Our Mission
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Scientific progress increasingly depends not only on technical innovation but on how effectively we coordinate, share resources, and collaborate across disciplines. Hugging Science addresses this challenge by building a global community of researchers, developers, and practitioners committed to democratizing AI-enabled scientific discovery across physics, biology, chemistry, neuroscience, and beyond.
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Our approach is grounded in the principles outlined in [our position paper](https://arxiv.org/abs/2509.06580), which identifies the primary barriers to AI democratization in science as fundamentally social and institutional rather than purely technical. By organizing collective action around shared computational challenges, open benchmarks, and accessible infrastructure, we aim to transform fragmented research efforts into coordinated progress.
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## Core Activities
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**Community-Driven Research Challenges**
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We identify and structure upstream computational bottlenecks with broad applicability across scientific domains, creating standardized benchmarks that enable researchers to build on each other's work.
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**Open Infrastructure and Tooling**
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We develop and maintain accessible platforms, datasets, and workflows that reduce barriers to entry for researchers at institutions of all resource levels.
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**Cross-Disciplinary Education and Collaboration**
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We facilitate knowledge exchange between domain scientists and machine learning researchers through workshops, educational materials, and collaborative projects that bridge technical communication gaps.
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**Sustainable Community Building**
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We cultivate an inclusive community where contributions to data curation, infrastructure development, and educational resources are valued alongside algorithmic innovation.
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## Get Involved
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**Discord Community**: [Join our server](https://discord.com/invite/VYkdEVjJ5J) for real-time collaboration, technical discussions, and community coordination.
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**GitHub Organization**: [Contribute to our projects](https://github.com/hugging-science) through open-source development, documentation, and code review.
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**Starting Out**: New to the community? Join our Discord to connect with other members and explore current initiatives. Community members are super helpful to reach out to and orient newcomers to ongoing projects.
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**Leading Initiatives**: Have a research idea or project that aligns with our mission? We welcome independent initiatives and can provide community support, technical infrastructure, and collaborative connections. Reach out via Discord or GitHub to discuss how we can help amplify your work. You can just do things!
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## Learn More
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Read our full position paper: [AI for Scientific Discovery is a Social Problem](https://arxiv.org/abs/2509.06580)
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---
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Hugging Science operates as an open community effort. All contributions, from code to documentation to community building, advance our collective goal of making AI-enabled scientific discovery more accessible, collaborative, and impactful.
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