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Open Source for Life Sciences Fund

  • Organization: Renaissance Philanthropy
  • Type: Grant
  • Deadline: July 21, 2026
  • Funding: Fully Funded

The Open Source for Science Fund is a multi-donor funding initiative that pools money from philanthropy, government, and industry to support open source software infrastructure for scientific research. It was seeded by Biohub and Wellcome and is managed by Renaissance Philanthropy. The fund backs development, maintenance, and evolution of open tools that power data-intensive research and AI-driven discovery, covering areas like large-scale data analysis, numerical computing, hardware acceleration, and autonomous workflows. The core idea is that open source software is foundational to modern science, from mapping the universe to modeling molecules, yet it's chronically underfunded and wasn't built to handle the demands of AI-era science like petabyte-scale data and agentic workflows. The fund offers two main entry points: funding opportunities for open source maintainers and projects, and a pathway for organizations to become funders themselves. If you work on scientific open source tools or represent an institution looking to invest in this space, this fund is designed specifically to connect those two sides and make coordinated, strategic investment possible.

Apply for Open Source for Life Sciences Fund

Renaissance PhilanthropyGrant

Open Source for Life Sciences Fund

This one has closed
Archived
Opportunity type
Grant
Funding
Fully Funded
Location
Global
Deadline
Archived

About this opportunity

The Open Source for Science Fund is a multi-donor funding initiative that pools money from philanthropy, government, and industry to support open source software infrastructure for scientific research. It was seeded by Biohub and Wellcome and is managed by Renaissance Philanthropy. The fund backs development, maintenance, and evolution of open tools that power data-intensive research and AI-driven discovery, covering areas like large-scale data analysis, numerical computing, hardware acceleration, and autonomous workflows. The core idea is that open source software is foundational to modern science, from mapping the universe to modeling molecules, yet it's chronically underfunded and wasn't built to handle the demands of AI-era science like petabyte-scale data and agentic workflows. The fund offers two main entry points: funding opportunities for open source maintainers and projects, and a pathway for organizations to become funders themselves. If you work on scientific open source tools or represent an institution looking to invest in this space, this fund is designed specifically to connect those two sides and make coordinated, strategic investment possible.

Who can apply

  • Must be working on open source software infrastructure for data-intensive research or AI-driven discovery
  • Projects should relate to data representation and curation, large-scale data analysis and visualization, numerical computing and simulation, hardware acceleration and scalability, or automation and autonomous workflows
  • Open to maintainers of scientific open source tools
  • open source software maintainers
  • scientific software developers
  • data-intensive research tool builders
  • AI-driven discovery infrastructure contributors

LOT finds and checks opportunities from public sources. Always confirm details on the organiser’s own page before applying.

Open Source for Life Sciences Fund
Archived
This one has closed