Project Grant 2622619
- Federal Project Grant Award Summary The National Science Foundation (NSF), Division of Emerging Frontiers, awarded $120,857 to Trustees of Boston University under the Biological Sciences program (CFDA 47.074) for a one-year project beginning July 1, 2026 and concluding June 30, 2027. The award funds a graduate student scholar-in-residence position at the National Institute of Standards and Technology (NIST) Living Measurement Systems Foundry to develop AI-ready data standardization and...
- Federal Grant Award Summary The National Science Foundation (NSF) Division of Biological Infrastructure awarded $683,122 to the Trustees of Boston University under the Biological Sciences program (CFDA 47.074) for a three-year project extending from August 1, 2025 through July 31, 2028. The project involves developing and extending BOLTZNET, a novel computational framework that integrates neural networks with biophysical modeling to translate genomic data into quantitative and predictive...
- This National Science Foundation project grant of $300,000 supports research aimed at accelerating synthetic biology discovery through integrated curation. Funded under the Biological Sciences program (CFDA 47.074), the University of Colorado Boulder will develop an integrated curation framework and search framework to enable genetic design information sharing according to FAIR data principles. The frameworks will facilitate digital publication submissions with curated genetic sequence and...
- Federal Grant Award Summary The National Science Foundation (NSF) Division of Biological Infrastructure awarded Chatham University a $234,805 Project Grant effective August 1, 2026, through July 31, 2029, under the Biological Sciences program (CFDA 47.074). This collaborative research initiative will develop computational methods and statistical frameworks designed to enable efficient analysis of high-dimensional biological data—datasets containing substantially more variables than...
- Federal Grant Award Summary The National Science Foundation's Division of Molecular and Cellular Biosciences awarded Colorado School of Mines $672,000 under the Biological Sciences program (CFDA 47.074) on June 1, 2026, with a completion date of May 31, 2031. This CAREER award funds development of a data-driven, multiscale computational framework designed to quantify pathway complexity during stochastic, out-of-equilibrium biomolecular assembly. The primary deliverable is an integrated...
- Federal Project Grant Award Summary The University of Colorado, operating through its Office of Contracts and Grants Division in Boulder, Colorado, received a $1.058 million Project Grant from the National Science Foundation (NSF) Division of Molecular and Cellular Biosciences under the Biological Sciences program (CFDA 47.074). Awarded July 1, 2026, with completion targeted for June 30, 2030, this grant supports fundamental research investigating the emergence of novel metabolic pathways...
- Federal Grant Award Summary The National Science Foundation's Division of Information and Intelligent Systems awarded a $299,998 Project Grant to the University of Nebraska (Board of Regents) under the Computer and Information Science and Engineering program (CFDA 47.070) effective September 1, 2025, through February 28, 2027. This Exploratory (EAGER) research initiative seeks to develop a bio-hybrid computing system leveraging bacterial gene regulatory artificial neural networks (GR-ANN) for...
- Grant Award Summary Utah State University received a $249,955 Project Grant from the National Science Foundation (NSF) Division of Emerging Frontiers under the Biological Sciences program (CFDA 47.074) on June 1, 2026, with a completion date of May 31, 2028. The award funds the development of standardized computational workflows for modeling and inference of RNA strand-exchange circuits, with the primary deliverable being a machine-readable computational workflow that improves mechanistic models...
- Federal Project Grant Award Summary 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...
- Federal Grant Award Summary The National Science Foundation (NSF) Division of Biological Infrastructure awarded $360,000 to the University of Colorado on August 15, 2026, under the Biological Sciences program (CFDA 47.074) to develop DeepSpiral, an innovative two-photon super-resolution microscopy technique. This collaborative research project, scheduled for completion by July 31, 2029, will integrate multiphoton and single-molecule localization microscopies to enable cellular imaging at...
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 integrated data capture and analysis systems leveraging open-source software tools—including Excel2SBOL, SBOLCanvas, iBioSim, the Experimental Data Connector (XDC), and Flapjack—connected through community data standards and the SynBioHub genetic design repository. Work will be conducted at the National Institute of Standards and Technology (NIST) in Boulder, Colorado. The project will develop and validate protocols for calibration and characterization of genetic parts and devices across diverse experimental contexts, generating high-quality, machine-actionable datasets suitable for constructing and benchmarking predictive models of gene expression. Anticipated outputs include standardized workflows, validated protocols, curated datasets, predictive modeling resources, and supporting training materials. These deliverables aim to enhance reproducibility and data sharing across laboratories, advance artificial intelligence applications in biological engineering, and strengthen the foundation for open science in biotechnology through resources accessible to academic, industrial, and government stakeholders.Federal Grant Award Summary
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $250.0k | 6/17/26 |