Cooperative Agreement 583AEU00025

This federal Project Grant award from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences program (CFDA 47.075) provides $375,000.00 to Iowa State University of Science and Technology to develop statistical and machine learning tools for data integration and data fusion. The project aims to enhance the analysis of complex survey data with big data sources, as well as improve scientific conclusions drawn from multiple datasets. Key activities include research on mass...

This Project Grant award from the National Science Foundation's (NSF) Integrative Activities program (CFDA 47.083) provides $712,258 to the University of Central Florida (UCF) to acquire an integrated LiDAR and hyperspectral sensing system. The goal is to capture and integrate visible and invisible data using this new sensing system, which will be mounted on drones, robots, and ground vehicles to gather information in both indoor and outdoor environments. The rapid collection of these datasets...

This Project Grant award in the amount of $299,996.00 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports the development of software and computational tools to enable robust post-linkage data analysis. The project aims to address challenges in integrating and analyzing data from multiple sources, leveraging record linkage techniques to unlock insights. The software will provide enhanced capabilities for...

This $233,955 Project Grant award from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program will support a research project at The Washington University in St. Louis to develop improved methods for probabilistic data integration and record linkage without the use of unique identifiers. The central objectives are to create computationally efficient and accurate techniques for merging large datasets from multiple sources, which is a critical...

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...

This Project Grant from the National Science Foundation's National Center for Science and Engineering Statistics will fund the development of Bayesian statistical and machine learning methodologies tailored for complex survey and census data. Awarded $743,050 under the Social, Behavioral, and Economic Sciences program, the grant will support research at the University of Missouri from September 2022 through August 2025. The research aims to advance computational efficiency and expand...

This Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $948,000 to develop new methods for data-efficient decision-focused learning, with the goal of effectively solving stochastic decision-making problems with limited data. The project, led by the Georgia Tech Research Corporation, focuses on three key objectives: (1) pre-training key components to obtain general task-agnostic base modules that...

This three-year, $674,542 National Science Foundation project grant supports research at the University of California Santa Cruz to develop Bayesian statistical and machine learning methods for analyzing complex survey data from the federal statistical system. The grant falls under the NSF's Social, Behavioral, and Economic Sciences program (CFDA 47.075), which promotes basic research and education in these fields. Specifically, the investigators will extend existing models using data...

This three-year, $375,000 project grant from the National Science Foundation's National Center for Science and Engineering Statistics, operating under the Social, Behavioral, and Economic Sciences program (CFDA 47.075), will develop tools to analyze process data from computer-based educational assessments and adaptive designs for testing and learning. The Columbia University researchers will focus on statistical learning methods to understand students' cognitive processes using log file data...

This $226,874 Project Grant awarded by the National Science Foundation (NSF) Social, Behavioral, and Economic Sciences (SBE) program (CFDA 47.075) will fund research to develop new statistical tools for modeling and analyzing dependent data. The project, to be conducted by Cornell University, will focus on advancing methods for handling data dependencies in areas such as local elections, inflation modeling, spatial patterns, and environmental monitoring data. The research aims to provide...