Pathways to Enable Secure Open-Source Ecosystems (PESOSE)
U.S. National Science Foundation
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). PESOSE supports the creation of managing organizations for these ecosystems, ensuring strong governance, distributed development, and broad user communities across academia, industry, and government. PESOSE also supports enhancements to the safety, security, and privacy of Open-Source Ecosystems (OSE) by addressing significant vulnerabilities, both technical and socio-technical, to improve the resistance of the ecosystem against threats. This solicitation seeks three types of proposals, allowing teams to propose specific activities to: 1)
Deadline
2027-03-02
Who can apply
*Who May Submit Proposals: Proposals may only be submitted by the following: -For-profit organizations: U.S.-based commercial organizations, including small businesses, with strong capabilities in scientific or engineering research or education and a passion for innovation. -Non-profit, non-academic organizations: Independent museums, observatories, research laboratories, professional societies and similar organizations located in the U.S. that are directly associated with educational or research activities. -Other Federal Agencies and Federally Funded Research and Development Centers (FFRDCs)
Sources
Grants.gov. Last updated 2026-10-26.
Always confirm eligibility and deadlines on the funder's own page before applying.