This $399,999 Project Grant award from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program supports a multi-method research project that investigates the prevalence and impacts of demographically coded language used in opposition to multifamily housing development. The research involves collecting and analyzing textual data from fair housing lawsuits, public meeting records, and news articles to identify patterns in the use of coded language...
The National Science Foundation (NSF) Division of Behavioral and Cognitive Sciences awarded a $382,047 Project Grant to the University of North Carolina at Charlotte (UNCC) under the Social, Behavioral, and Economic Sciences program (CFDA 47.075). The grant, running from July 1, 2023 to June 30, 2026, will fund a research project investigating the role of amenities, residential preferences, mortgage lending practices, and real estate advertisements in neighborhood change processes. The project...
This National Science Foundation Project Grant award of $395,000 provides funding for a research project titled "Informality and Inequality in the Global North: Regulation, Non-Compliance, and Enforcement in US Land Use and Housing Law." The project will be carried out between August 2023 and July 2026 under the NSF's Social, Behavioral, and Economic Sciences program (CFDA 47.075). The award supports research and education activities to examine the proliferation of informal housing...
This $400,000 project grant was awarded on September 1, 2024 by the National Science Foundation (NSF) under the Social, Behavioral, and Economic Sciences (CFDA 47.075) program. The project aims to deploy a national, large-scale, mobility-based study of integration in affordable housing using cell phone location data. Key objectives include identifying characteristics of places that correspond with more integration, providing evidence on the effects of housing policies such as vouchers and zoning...
This $473,500 project grant from the National Science Foundation Division of Social and Economic Science, under the Social, Behavioral, and Economic Sciences program (CFDA 47.075), will support research at Cornell University from April 2022 through March 2025 to develop new discrete choice models that account for unobserved heterogeneity in consumer consideration sets. The researchers will establish conditions for semi-nonparametric identification of these novel models and design a maximum...
This Project Grant from the National Science Foundation Division of Behavioral and Cognitive Sciences, under the Social, Behavioral, and Economic Sciences federal grant program (CFDA 47.075), provides $993,050 to Stanford University from June 15, 2022 through November 30, 2025. The funding supports research to develop natural language processing and qualitative spatial reasoning techniques to extract, locate, and contextualize imprecise place-related information from extensive textual corpora,...
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...
The National Science Foundation Division of Social and Economic Science awarded Cornell University a $103,149 project grant under the Social, Behavioral, and Economic Sciences program (CFDA 47.075). The three-year grant, awarded September 1, 2021 and concluding August 31, 2024, will support research titled "COLLABORATIVE RESEARCH: HOW ONLINE FOCI SHAPE CONVERSATION." Through this funding, Cornell University researchers in Ithaca, New York will examine how the topics and issues...
This National Science Foundation (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) Project Grant award of $160,000 supports an early career researcher investigating legislative activities in city councils across the United States. The 2-year project, which commenced on August 15, 2024, aims to build an original dataset of legislative actions in hundreds of city councils and analyze differences in the topics and scope of those actions across cities and over time. The research will use...
The National Science Foundation has awarded a $299,990 Project Grant to Columbia University to develop a prototype system using large language models to assist in the review process for releasing government records. The project aims to determine the additional data and training required to achieve acceptable levels of accuracy in using large language models to identify information that is already in the public domain, in order to streamline the document review process. The iterative system...