The Pathways to Enable Secure Open-Source Ecosystems (PESOSE) program supports the translation of open-source science and engineering-focused research products into safe and sustainable ecosystems that address national and societal challenges. Open-source tools such as software, hardware, machine learning models, languages, and data platforms are designed to be shared as they are publicly-accessible and modifiable. These tools spark innovation in critical fields as varied as artificial intelligence (AI) and cloud computing, banking, healthcare, research, education, next-gen manufacturing, mobility, and National security (including cybersecurity). [...] proposals, allowing teams to propose [...] on a robust [...] Anticipated Type of Award: Standard Grant or Continuing Grant [...] Anticipated Funding Amount: $40,000,000 [...] • For proposals submitted via Research.gov, PAPPG guidelines apply. [...] • For proposals submitted via Grants.gov, NSF Grants.gov Application Guide guidelines apply. [...] • are released as open-source products. These products are freely available for anyone to view, use, modify, or share. Open-source products encourage collaboration, transparency, and community-driven development, which helps speed up innovation. Over time, many of these products become part of [...] national infrastructure, including energy grids, water systems, [...] records, financial networks, and [...] The economic value of open-source products is enormous, with recent estimates exceeding $13 trillion per year. Open-source software is used almost everywhere and supports key technologies such as artificial intelligence, data science, cloud computing, telecommunications, scientific research tools, and critical facilities. Despite these benefits, the number of open-source developers is relatively small, and many projects lack sufficient resources. This can slow innovation and make maintenance difficult. In addition, weaknesses in open-source software - such as security flaws, supply-chain risks, or insider threats - can spread across many connected systems. In extreme cases, these weaknesses could lead to large-scale failures that affect national or global systems. [...] The PESOSE program supports NSF's mission by accelerating innovation that benefits the Nation. Funded projects lower barriers for researchers and startups, protect public and private investments, strengthen safety, security, and privacy, and support interoperability and standards. Together, these outcomes help increase U.S. competitiveness in the global economy. [...] The Pathways to Enable Secure Open-Source Ecosystems (PESOSE) program, managed by the Directorate for Technology, Innovation and Partnerships, creates a new pathway to turn research into innovation by supporting strong, sustainable, and secure open-source ecosystems (OSEs). These ecosystems are built around existing open-source products, tools, and artifacts that already show promise. The goal is to transform research results into widely used technologies and services that benefit society. Open-source ecosystems depend on distributed development, where contributors from many organizations work together to improve and maintain the product. When successful, these ecosystems grow active communities of developers and users, attract resources, and help innovations make a lasting impact. [...] Track 1: Scoping and planning. This track helps organizations that need experience building developer and user communities. This includes planning and training in governance, legal issues, licensing, fundraising, and administration. [...] Anticipated Type of Award: Continuing Grant or Standard Grant [...] Full Proposal Preparation Instructions: Proposers may opt to submit proposals in response to this Program Solicitation via Research.gov or Grants.gov. [...] You can submit proposals in response to this solicitation through Research.gov or Grants.gov, unless otherwise noted.

The Open Source for Science Fund invites letters of intent from developers and maintainers of open source software projects that underpin AI and data-intensive research in the life sciences. This program will fund technical advances and address significant bottlenecks in software tools with demonstrated community adoption in the life sciences, allowing them to unlock new capabilities for scientists worldwide and evolve functionality to meet the demands of AI-native research environments. [...] Open Source for Science Fund is [...] multi-donor initiative [...] Renaissance Philanthropy [...] philanthropic and industry [...] sustain and evolve [...] scientific software for the AI era. With seed funding from Biohub [...] Wellcome, and support from [...] builds on the track record [...] for Science ( [...] ) program — six cycles, [...] deployed across 230+ projects — as a successor initiative that is operationally independent and purpose [...] built to scale. [...] “Open Source for the Life Sciences” (OS4LS) is the inaugural call of the Open Source for Science Fund. It is targeted at open source software that underpins data-intensive research and AI-driven discovery in the life sciences. [...] serves critical needs for a research audience, a realistic plan of work [...] with the project’s own roadmap [...] and genuine buy-in from [...] maintainer community about [...] For this Request for Applications, we seek to support domain-specific software tools across a broad range of [...] life sciences. We also welcome proposals focused on foundational libraries and software dependencies as well as collaborations among related projects within the same software ecosystem. [...] Available funding: Up to $250,000 USD total over two years (up to $125,000 USD/year) [...] Available funding: Up to $1,000,000 USD total over two years (up to $500,000 USD/year) [...] • Open source libraries that serve as core dependencies of scientific applications across multiple domains in [...] life sciences, OR [...] developing shared interoper [...] , or common [...] and capabilities across [...] set of related [...] within the same [...] Applications in this track may propose coordinated work spanning multiple [...] For both tracks, grants will be awarded for two years (24 months). Proposals will be evaluated for appropriateness of budget relative to the scope of work proposed. Indirect costs may not exceed 10% of direct costs and should be included in the maximum funding for each track. A detailed budget is not required at the LOI stage. [...] for staff (full-time, part-time, [...] contract): developers, contributors, [...] writers, community managers, [...] • Projects applying for funding must be open licensed and have a publicly available codebase in a repository. Proprietary software or software with custom / restrictive licenses is not eligible for funding. [...] • The software project(s) must have a mature codebase and demonstrated traction and adoption in the life sciences. Early-stage prototypes or planned software projects lacking evidence of adoption are not in scope for this call and unlikely to pass the LOI stage. [...] This is a two-step process: an initial Letter of Intent (LOI), followed by invitations to a select number of applicants to submit a Full Application. The application form will be available on May 11 at 9am Pacific Time at https://os4science.org/funding%5Fopportunity/os4ls/. [...] Date Milestone --- --- May 4, 2026 Website launch; RFA announced May 11, 2026 LOI Application portal opens (9 am PDT / 4 pm UTC) June 8, 2026 Letters of Intent due (2 pm PDT / 9 pm UTC) June 23, 2026 Notification of invitation to submit Full Applications; Full Application portal opens (9 am PDT / 4 pm UTC) July 21, 2026 Full Applications due (2 pm PDT / 9 pm UTC) October 2026 Earliest notification of decisions December 1, 2026 Earliest project start date

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