This federal Project Grant award, valued at $6,734,925, was provided by the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (SBE) program (CFDA 47.075) to the Regents of the University of Michigan. The grant will fund the continuation of the Panel Study of Income Dynamics (PSID), the world's longest running household panel survey, which collects data on the economic and social well-being of American families over multiple generations. The key products and services...
This National Science Foundation (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) Project Grant award to Michigan State University (MSU) in the amount of $252,831 supports the development of guidelines for reporting about network data. The project aims to facilitate the collaborative development of these guidelines, which will enable network researchers to describe their data clearly, consistently, and transparently. This will enhance the value of existing network research by...
This $1,600,000 Project Grant awarded by the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program will expand and enhance the Integrated Public Use Microdata Series (IPUMS), the world's largest population database. The project will: Obtain and preserve census and household survey data from 157 countries, focusing on the most recent census rounds. Clean, process, and consistently code the collected data. Develop comprehensive documentation to guide...
The National Science Foundation (NSF) awarded a $307,284 Project Grant under the Social, Behavioral, and Economic Sciences (CFDA 47.075) program to Regents of the University of Michigan Office of Research and Sponsored Projects (doing business as University of Michigan) to conduct a collaborative research study titled "HNDS-R: Stepping Out of Flatland: Complex Networks, Topological Data Analysis, and the Progress of Science." The 3-year project, beginning September 1, 2023, will use...
This National Science Foundation project grant of $400,000 awarded on August 15, 2022 through July 31, 2025 under the Social, Behavioral, and Economic Sciences program (CFDA 47.075) will fund research at Duke University to advance statistical and computational methods for releasing high-quality synthetic data as public use files. The research aims to develop novel techniques to improve disclosure risk assessment, quality verification for data analysts, and population generalizability when...
This National Science Foundation (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) Project Grant for $254,295 supports the creation of a database and dashboard of ecosystem guidelines for 80 countries. The project aims to systematically compare nations' pledges to international agreements against their actual practices across sectors like energy, industry, transportation, agriculture, and waste management. Additionally, the researchers will assess indicators of countries'...
The National Science Foundation Division of Social and Economic Science awarded a $220,813 Project Grant to the Regents of the University of Michigan under the Social, Behavioral, and Economic Sciences program (CFDA 47.075). The grant will fund the BUILD AND BROADEN: STRENGTHENING SOCIAL SCIENCE RESEARCH INFRASTRUCTURE AT THE UNIVERSITY OF MICHIGAN project from Oct 1, 2021 through Mar 31, 2024. The project aims to initiate a collaboration with the University of Puerto Rico to collect,...
The National Science Foundation (NSF) awarded a $197,047 Project Grant under the Social, Behavioral, and Economic Sciences (CFDA 47.075) program to the Regents of the University of Michigan. The grant funds a 2-year research project to develop the Global Surveillance and Censorship Scores (GSCS) database. The project will utilize mixed methods to collect quantitative and qualitative historical and contemporary data on state surveillance and censorship practices. The resulting dataset will...
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...
This $562,092 National Science Foundation project grant under the Social, Behavioral, and Economic Sciences program (CFDA 47.075) funds research and data infrastructure development to support analysis of historical settlement and population growth patterns in the United States. The University of Colorado, Boulder will collaborate with the Institute for Social Research and Data Innovation at the University of Minnesota to develop gridded time series data on census tract-level variables related to...