Project Grant 2625174
- Federal Grant Award Summary The National Science Foundation (NSF) awarded Seedai Inc. a $100,000 Project Grant under the NSF Technology, Innovation, and Partnerships program (CFDA 47.084) on January 15, 2026, to organize and execute a two-day AI-Ready America Workshop in Washington, D.C. by June 30, 2026. The primary deliverable is a stakeholder convening that brings together representatives from federal agencies, state and local governments, industry, philanthropic organizations, educational...
- Federal Grant Award Summary Award Overview: Columbia University received a $250,700 Project Grant from the National Science Foundation's Division of Social, Behavioral and Economic Science (CFDA 47.075) effective August 1, 2025, through July 31, 2026. The project, titled "Scholars: Scientific Outcomes from AI Tools and Models," will deliver comparative research and analytical findings examining how artificial intelligence (AI)-based behavioral tracking tools shape neuroscientific...
- Federal Project Grant Summary Columbia University received a $100,000 Project Grant from the National Science Foundation (NSF) Division of Emerging Frontiers under the Biological Sciences program (CFDA 47.074), awarded June 15, 2025, with completion targeted for November 30, 2026. This collaborative research initiative, titled "ACED: Planet-Scale AI for Accelerating Environmental Science – Invasive Species and Beyond," delivers artificial intelligence (AI) framework development and...
- Federal Grant Award Summary The National Science Foundation (NSF) awarded Columbia University $410,000 under the Computer and Information Science and Engineering program (CFDA 47.070) effective October 1, 2026, with completion targeted for September 30, 2030. This collaborative research project, titled "AIGIS: Securing the Deep Learning Model Supply Chain," develops methods and tools to verify the trustworthiness of pre-trained artificial intelligence (AI) models before their...
- Federal Grant Award Summary The National Science Foundation (NSF) awarded a $250,000 Project Grant under the Biological Sciences program (CFDA 47.074) to the University of Colorado, effective July 1, 2026 through June 30, 2027. The project, "A Standard Enabled Synthetic Biology Workflow to Produce AI-Ready Data," addresses critical gaps in synthetic biology by developing standardized, machine-accessible experimental data and metadata workflows. The primary deliverables include...
- Federal Grant Award Summary Cornell University received a $333,333 Project Grant from the National Science Foundation's Division of Information and Intelligent Systems (CISE Program, CFDA 47.070) awarded October 1, 2025, with completion targeted for September 30, 2028. This collaborative research initiative develops a novel neurosymbolic programming framework, designated Foundation Model Programming, designed to generate symbolically interpretable scientific hypotheses from high-dimensional...
- Federal Grant Award Summary The National Science Foundation's Division of Information and Intelligent Systems awarded George Washington University a $380,000 Project Grant on July 15, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop hardware-algorithm co-design solutions for efficient artificial intelligence (AI) accelerators applied to molecular biology and genomics research. The project will deliver new AI algorithms capable of capturing...
- Federal Grant Award Summary Cornell University received a $100,000 Project Grant from the National Science Foundation (NSF) Division of Emerging Frontiers under the Biological Sciences program (CFDA 47.074), awarded June 15, 2025, with completion targeted for November 30, 2026. This collaborative research initiative, titled "ACED: Planet-Scale AI for Accelerating Environmental Science—Invasive Species and Beyond," delivers an artificial intelligence (AI) framework designed to address...
- Federal Grant Award Summary Columbia University received a $163,000 Project Grant from the National Science Foundation's Division of Mathematical Sciences under the Mathematical and Physical Sciences program (CFDA 47.049) for collaborative research on the emergence of features in modern machine learning systems. The award, effective October 1, 2025, through September 30, 2028, supports the development of mathematical foundations for understanding how artificial intelligence (AI) models represent...
- Federal Grant Award Summary The National Science Foundation's Division of Behavioral and Cognitive Sciences awarded a $400,000 Project Grant (Social, Behavioral, and Economic Sciences program, CFDA 47.075) to Princeton University, effective September 1, 2025 through August 31, 2028. This collaborative research initiative develops infrastructure to facilitate the study of human-artificial intelligence (AI) hybrid interactions through behavioral experiments. The primary deliverables include new...
The National Science Foundation (NSF) Division of Emerging Frontiers awarded Columbia University $107,995 on July 1, 2026, under the Biological Sciences program (CFDA 47.074) to organize and deliver a three-day workshop and symposium focused on artificial intelligence (AI) in organismal biology. The event, scheduled for fall 2026 with completion by June 30, 2027, will serve as the official launch platform for the National Synthesis Center for Organismal Resilience (NSCORE) and will convene academic scientists and industry technology leaders to explore phenotypic database development for AI applications and demonstrate how AI tools are transforming the study of individual trait variation in wild organisms. The hybrid in-person and virtual symposium will address two primary themes: methodologies for constructing phenotypic databases to support AI problem-solving in biology, and practical applications of AI technologies in natural biological systems by leading industry practitioners. This workshop advances NSF's strategic priorities in artificial intelligence by facilitating knowledge exchange on emerging computational approaches that leverage increasingly available genomic data and large-scale trait databases to enable researchers to link genetic and phenotypic variation at the individual level for studying organism plasticity and adaptation. By galvanizing the broader computational organismal biology community, the event will establish momentum and alignment across academia and industry stakeholders regarding technological developments and future research directions in the field.Federal Project Grant Award Summary
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $108.0k | 6/16/26 |