Project Grant 2553462
- Federal Project Grant Award Summary Award Details: CAL Poly Corporation received a $200,000 Engineering Research Initiation (ERI) project grant from the National Science Foundation's Division of Chemical, Bioengineering, Environmental, and Transport Systems (CFDA 47.041) effective April 1, 2026, through March 31, 2028. The project is being performed at California Polytechnic State University in San Luis Obispo, California. Products and Services: This engineering research project will develop and...
- This $149,982 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program will support research to optimize sociotechnical interventions aimed at improving healthcare access by addressing transportation disadvantage (TD). The work will: 1) advance knowledge on the socioecological factors of TD through stakeholder engagement; 2) develop community sensing methods to address the lack of granular TD/social determinants of health...
- The National Science Foundation awarded a $550,781 Project Grant to the University of Southern California under the Engineering federal grant program (CFDA 47.041) to advance disease modeling for healthcare decision making from April 1, 2023 through March 31, 2028. The award will support developing a unified theoretical framework to incorporate individual-level disease simulations and compartmental models, with the goal of optimizing these approaches for single and repeated decision contexts...
- This project grant awarded by the National Science Foundation's Division of Information and Intelligent Systems (CFDA 47.070 - Computer and Information Science and Engineering) provides $150,000 to the University of Alabama to build a smart and connected rural community for improved healthcare access in the underserved Black Belt region of West Alabama. The key objectives are to: Develop a smart health and mobility system (SHMS) to leverage and coordinate existing transportation resources to...
- This $172,000 Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports the development of machine learning models and optimization algorithms for improving disaster response logistics. The primary objectives of the project are to: Research existing machine learning models for clustering regions and develop an enhanced K-means++ clustering model with improved time complexity. Develop a novel...
- This National Science Foundation (NSF) Engineering (CFDA 47.041) Project Grant award of $367,616 to the University of California, Davis (UC Davis) will fund research to establish a theoretical framework for evaluating and optimizing data acquisition in transportation networks. The research project aims to quantify the value of data from various sources to help transportation network operators, such as the California Department of Transportation, make more informed decisions about which data to...
- Federal Project Grant Award Summary The National Science Foundation's Division of Computer and Network Systems awarded the University of Southern California a $966,790 Project Grant (CFDA 47.070: Computer and Information Science and Engineering) on November 1, 2025, to develop advanced data science tools for optimizing Emergency Medical Services (EMS) operations. The project, titled "Integrating Probabilistic Digital Twinning and Dynamic Optimization to Enhance EMS Operations," will...
- Federal Grant Award Summary The National Science Foundation's Division of Civil, Mechanical, and Manufacturing Innovation awarded a Faculty Early Career Development (CAREER) grant of $551,703 to Texas A&M Engineering Experiment Station (beginning July 1, 2026, through June 30, 2031) under the Engineering program (CFDA 47.041). The award funds research to advance simulation optimization methodologies by coupling exploratory simulation analysis with optimization techniques to enable more...
- This $174,371 National Science Foundation project grant supports research at Chapman University towards developing a personalized framework for real-time patient length of stay modeling and prediction. The framework aims to advance data fusion and time-to-event modeling techniques to enable proactive, data-driven hospital discharge scheduling. By integrating advanced tensor fusion and statistical learning approaches, the framework seeks to facilitate personalized length of stay predictions in...
- This $1.2 million project grant from the National Science Foundation's Engineering program (CFDA 47.041) will fund research at Stanford University from September 2022 to August 2026 to develop digital tools and algorithms to improve diabetes care delivery and health equity. Specifically, the university will leverage sensor data and machine learning techniques to better understand patient types and needs, allocate limited provider resources efficiently, and design interpretable treatment...
This Engineering Research Initiation (ERI) award from the National Science Foundation's Division of Civil, Mechanical, and Manufacturing Innovation (CFDA 47.041) provides $199,999 in funding to California Polytechnic State University (through CAL Poly Corporation) for a two-year project period (July 1, 2026 – June 30, 2028). The project delivers research methodologies and analytical tools that integrate human mobility data with optimization models to improve healthcare facility planning. Key deliverables include exploratory data analysis using network theory to identify discrepancies between potential and realized healthcare access, a probabilistic behavioral model grounded in discrete choice theory to capture how individuals select healthcare facilities, and improved facility location optimization approaches that account for actual patient mobility patterns and decision-making behaviors. The award also generates educational and dissemination products, including hands-on training for students in mobility data analytics and optimization techniques, as well as tools and educational materials designed for broader adoption by healthcare planning professionals and policymakers. By combining emerging mobility data with facility location optimization, the research addresses barriers to healthcare access such as distance and service availability, enabling more effective and data-driven decision-making in healthcare infrastructure planning.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $200.0k | 5/13/26 |