Project Grant 1622260

Arizona State University was awarded a two-year, $167,528 Project Grant from the National Science Foundation's Social, Behavioral, and Economic Sciences program (CFDA 47.075) to develop SOCIOMAP, a data exploration and translation tool for complex sociopolitical categories. The tool will allow researchers to merge and analyze data across categories that are often inconsistently defined, such as race, ethnicity, gender and religion. By standardizing variable definitions and developing...

This $549,946 Project Grant awarded by the National Science Foundation's Division of Behavioral and Cognitive Sciences on August 15, 2023 funds the development of CATMAPPER, an online application that helps researchers, students, and others overcome challenges in integrating data from diverse sources. The CATMAPPER system consists of two applications - SOCIOMAP and ARCHAMAP - which focus on translating categories used in the social sciences and archaeology, respectively. The grant supports the...

This $400,000 Project Grant award from the National Science Foundation's Social, Behavioral, and Economic Sciences (CFDA 47.075) program will support the University of California, Irvine in developing new techniques for analyzing complex social network data. The research aims to advance methodologies for exploratory, comparative, and semiparametric network analysis, combining innovations in machine learning and statistical theory. Key deliverables include the creation of didactic materials and...

This three-year, $350,000 project grant from the National Science Foundation's Computer and Information Science and Engineering program aims to develop a knowledge platform and related tools to bridge the gap between visualization research and design practice. Specifically, the Trustees of Boston College will receive funding to build a comprehensive online framework for improving access to and learning about effective visualization design principles. This framework will consolidate existing...

This $275,000 Small Business Innovation Research (SBIR) Phase I award from the National Science Foundation's (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) program aims to develop a suite of software that automatically routes building services systems through 3D obstructed space to achieve near-optimal, clash-free solutions. The project involves developing a highly efficient 3D modeling environment using "low-resolution surface tessellation" to minimize data storage and...

This $350,000 project grant awarded by the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program aims to develop a simulation tool to model the information ecosystem and how content spreads through human networks. Using agent-based modeling techniques, the project will incorporate features of information flow, network structures, and agent characteristics to better understand how information propagates and how it may be influenced. The goal is to...

Federal Project Grant Award Summary The National Science Foundation (NSF) Division of Social, Behavioral and Economic Science awarded $299,549 to The Pennsylvania State University under the Social, Behavioral, and Economic Sciences program (CFDA 47.075) for an Early Grant for Exploratory Research (EAGER) project running from October 1, 2025 through September 30, 2027. This high-risk, high-reward research effort develops hybrid human-artificial intelligence (AI) technologies for forecasting...

This $343,324 National Science Foundation project grant supports research at Northeastern University to develop empirically validated perceptual tasks for data visualization. The goal is to refine and evaluate a model of the lower-level perceptual processes underlying higher-level data analysis and visualization tasks. Researchers will conduct qualitative studies to document how people decompose tasks and then empirically evaluate proposed perceptual subtasks like filtering images, judging...

This $141,318 National Science Foundation award under the Social, Behavioral, and Economic Sciences program will fund collaborative research to reconstruct the landscape of one of the earliest cities in the United States. The researchers will conduct a high-resolution magnetometry survey covering over 5.5 sq km of the urban landscape, making it the largest such subsurface survey ever performed in the Americas for an archaeological site. This near-total geophysical survey of the subsurface will...

This Project Grant award from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program provides $200,000 to Duke University to conduct a cross-national study using generative artificial intelligence, social simulation models, and online experiments. The goal is to identify how social media algorithms can be redesigned to promote mutual understanding, increase trust, and reduce polarization. The research design involves training large language models...