Project Grant 2427201
Award Date
9/1/24
Completion Date
8/31/27
Dollars Obligated
$292K
Federal Agency
Division of Civil, Mechanical, and Manufacturing Innovation
Federal Grant Program
47.041
Assistance Type
Project Grant
Place of Performance
Binghamton, NY 13902, USA
Similar Awards
This Project Grant award from the National Science Foundation's Engineering program (CFDA 47.041) provides $345,421 to the Regents of the University of Minnesota to develop specialized methods for designing annual rotation schedules that support the "Clinic First" educational model in family medicine residency programs. The key objectives are to create a decision-support framework that optimizes residents' clinic experiences and patient continuity, with the goal of better preparing...
This Project Grant award from the National Science Foundation (NSF) Engineering Directorate (CFDA 47.041) provides $450,133 to Northwestern University to develop methods for efficiently matching traveling and part-time nurses to vacant hospital shifts using online platforms. The three-year project will incorporate factors like nurse availability, preferences, and no-shows, as well as equity considerations, into complex optimization models to improve shift matching policies and alleviate nurse...
The National Science Foundation (NSF) awarded a $174,200 Project Grant under its Computer and Information Science and Engineering (CFDA 47.070) program to the University of North Carolina at Chapel Hill (UNC-CH) to develop new resource allocation policies for optimizing the scheduling of parallelizable machine learning (ML) training workloads on shared hardware clusters. The goal is to enable the rapid and efficient training of highly accurate ML models using limited computing resources. This...
This Project Grant from the National Science Foundation's Division of Mathematical Sciences, under the Mathematical and Physical Sciences program (CFDA 47.049), provides $186,606 to Duke University to support research developing new algorithms and modeling techniques for optimal adaptive enrichment design in randomized clinical trials. The goal is to address increasing costs that negatively impact public health by reducing willingness to undertake clinical trials and delaying new drug...
This $666,667 Project Grant from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CFDA 47.070) program aims to develop innovative mathematical algorithms to enable safe automated patient monitoring, treatment guidance, and reconciliation of potentially conflicting medical treatments. The research will advance control theory, inference, and optimization to create new knowledge, leading to transformative approaches for coordinating complex interacting...
This $250,000 Project Grant award from the National Science Foundation (NSF) Division of Mathematical Sciences under the Mathematical and Physical Sciences program (CFDA 47.049) supports the development of algorithms for real-time dynamic risk identification and monitoring of streaming data, particularly in the domains of electronic medical records, mobile health, and supply chain. The key objectives are to create a unified framework for dynamic risk detection that can be incorporated into...
The National Science Foundation (NSF) awarded a $303,823 Project Grant under the Engineering program (CFDA 47.041) to the Regents of the University of Minnesota, with a performance period from August 1, 2024 to July 31, 2025. This grant will contribute to the advancement of national health, prosperity, and welfare by developing a computational framework to efficiently solve a large class of inverse optimization models. The methodology will be applied to system identification problems in cancer...
This Project Grant award from the National Science Foundation (NSF) under the Mathematical and Physical Sciences program (CFDA 47.049) provides $180,000 to the University of North Carolina at Chapel Hill to develop an efficient statistical framework for improving individualized treatment decisions in personalized medicine. The key products and services to be delivered include: 1) Advancing methods for estimating optimal individualized treatment rules that can handle complex relationships among...
This $952,867 Project Grant awarded by the National Science Foundation (NSF) Division of Mathematical Sciences under the Mathematical and Physical Sciences (CFDA 47.049) program aims to develop a digital twin framework for virtual clinical trials. The University of Texas at Austin will lead this 3-year project to create computational models and virtual patient populations to enable high-throughput screening of novel therapeutic interventions, especially for cancer treatment. The key objectives...
This $275,997 National Science Foundation Division of Industrial Innovation Project Grant supports the development of a nursing workforce optimization algorithm and software by 1442 S. Fallon Street, LLC of Philadelphia, Pennsylvania. Under the SBIR PHASE I award issued on May 15, 2021 and set to be completed by April 30, 2022, the vendor will create an algorithm and matching software tool to optimize nursing staff scheduling, assignments, and resource allocation within the Engineering...