This National Science Foundation Division of Behavioral and Cognitive Sciences award of $1,013,705 to the Regents of the University of Minnesota will enhance and expand the IPUMS National Historical Geographic Information System (NHGIS) over a five-year period from September 1, 2023 to August 31, 2028. This project will increase the spatial and temporal coverage of NHGIS, a comprehensive source of geographic data on American people and places from 1790 to the present, by incorporating 1970...
This Project Grant award, valued at $1,600,000.00, was issued by the National Science Foundation (NSF) under the Social, Behavioral, and Economic Sciences (CFDA 47.075) program. The grant will enable the Regents of the University of Minnesota to expand and enrich the Integrated Public Use Microdata Series (IPUMS), the world's largest population database containing information on over 2.5 billion individuals from 157 countries. Key activities include: Obtaining and preserving additional...
The Regents of the University of Minnesota received a $999,996 Project Grant award from the National Science Foundation Division of Behavioral and Cognitive Sciences on September 1, 2021 to develop products and services under the Social, Behavioral, and Economic Sciences federal grant program (CFDA 47.075). The grant will fund the "FROM STACKS TO STATS: UNLOCKING INTERNATIONAL CENSUS DATA FROM PRINT VOLUMES" project through August 31, 2025. This project aims to digitize and analyze...
This $383,941 Project Grant award from the National Science Foundation (CFDA 47.075 Social, Behavioral, and Economic Sciences) supports the development of a collaborative digital platform and research network focused on mapping the historical origins of residential segregation patterns in U.S. urban areas. The key objectives are to create an open-access digital database and GIS mapping resources that enable interdisciplinary research on the locational attainments and household-level...
This Project Grant award of $194,675 from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program supports research to develop new econometric and statistical methods that allow researchers to draw valid conclusions from complex data in a variety of social, behavioral, and medical science settings. The key products and services to be delivered include: Developing a generally applicable reparameterization procedure for informative...
The National Science Foundation awarded a $359,208 project grant to Michigan State University under the Social, Behavioral, and Economic Sciences program (CFDA 47.075). The grant will fund the "Mapping Informal and Alternative Housing in the United States: A Big Data Approach for Examining Spatial Inequality" project from August 2021 through July 2024. The project aims to examine the proliferation of informal and alternative housing in the U.S., and how this relates to uneven spatial...
This $193,038 five-year Project Grant award from the National Science Foundation's Social, Behavioral, and Economic Sciences (CFDA 47.075) program will support research at Colorado State University to develop flexible Bayesian record linkage models. The goal is to enable more accurate linking of multiple data sets without unique identifiers, which is crucial for leveraging diverse data sources to address complex problems. The research will focus on addressing key limitations in current record...
The National Science Foundation awarded a $415,617 project grant under the Social, Behavioral, and Economic Sciences program (CFDA 47.075) to the University of Colorado Boulder on May 1, 2022. The grant will fund research from May 1, 2022 through October 31, 2025 to investigate the complex linkages between migration, rural livelihoods, and land use in Bangladesh, focusing on the impacts of mass return migration during the COVID-19 pandemic. The University of Colorado will conduct a follow up...
This $400,000 Project Grant awarded by the National Science Foundation (NSF) Social, Behavioral, and Economic Sciences (SBE) program (CFDA 47.075) supports research to understand how socioeconomic heterogeneity within the U.S. scientific workforce impacts scientific discovery and innovation. The project aims to (i) create a unique individual-level dataset linking researcher socioeconomic backgrounds to scholarly topics, (ii) make an anonymized version of this dataset publicly available, (iii)...
This two-year, $148,000 National Science Foundation project grant supports modeling of long-term urban and rural settlement dynamics through the Social, Behavioral, and Economic Sciences program (CFDA 47.075). The grant recipient will conduct archaeological and geospatial analyses to develop a predictive rural site distribution model and targeted survey of an urban hinterland in order to refine global urbanism models. Specifically, the recipient will use low-cost aerial and satellite imagery...