Project Grant 2629237
- The National Science Foundation Division of Computing and Communication Foundations awarded Georgia TECH Research Corp $354,774 on August 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070). The award funds development of computational tools that connect natural animal behavior to brain activity, with the goal of understanding how the brain supports flexible decision-making in complex environments. The work will employ inverse reinforcement learning...
- The National Science Foundation Division of Computing and Communication Foundations awarded Georgia TECH Research Corp $400,173 on October 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to study responsible AI guidance in visual data analysis tools. The recipient will develop a modular software testbed with AI guidance components for chart creation and visual analysis of tabular data, then design computational metrics to measure real-time reliance on AI...
- The National Science Foundation awarded Georgia TECH Research Corp, doing business as the Office of Sponsored Programs, $301,630 under the CAREER program in Computer and Information Science and Engineering (CFDA 47.070) on July 1, 2026. The project advances research on trust calibration in data visualizations across science, education, healthcare, and other domains. The team will develop methods to measure user trust in data visualizations using social science theories and methodologies, conduct...
- The National Science Foundation Division of Computing and Communication Foundations awarded the University of Illinois $500,000 on October 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop computational tools for evaluating data visualizations. The project will create image-computable models of human vision to assess visualization effectiveness, reducing reliance on costly user studies. The research team will extend existing models of texture...
- The National Science Foundation SBE Office of Multidisciplinary Activities awarded $348,196 to Georgia TECH Research Corp on August 15, 2026, under the Social, Behavioral, and Economic Sciences program (CFDA 47.075) for Collaborative Research: CRCNS Research Proposal on optimal transport methods for comparative analysis of neural representations. The project develops mathematical techniques based on optimal transport to measure how individual brains are alike and how they differ when...
- The National Science Foundation Division of Computing and Communication Foundations awarded The University of Chicago $402,391 on June 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) for research on responsible data visualization design. The project, titled "Seeing What Matters: Reframing Visualization as Data Disclosure," develops theory and software tools to help visualization authors balance ethical communication goals—including effective...
- 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...
- Grant Award Summary Georgia TECH Research Corp received a $200,000 Project Grant from the National Science Foundation's Division of Information and Intelligent Systems (CFDA 47.070: Computer and Information Science and Engineering) awarded July 15, 2025, with completion targeted for June 30, 2028. This collaborative research initiative addresses the integration of human perception into database systems and sampling algorithms for visual analytics applications. The project delivers research and...
- Federal Grant Award Summary Georgia TECH Research Corp received a $421,652 Project Grant from the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070), awarded April 15, 2025, with completion targeted for October 31, 2027. This collaborative research initiative examines confirmation bias in visual data analysis and develops mitigation strategies to improve data-driven decision-making. The project delivers four primary...
- The National Science Foundation Division of Information and Intelligent Systems awarded a $143,624 Project Grant to the University of Georgia Research Foundation, Inc. under the Computer and Information Science and Engineering federal grant program (CFDA 47.070). The award will support a collaborative research project between multidisciplinary investigators to leverage advances in neuroscience data and develop brain-inspired artificial intelligence. Specifically, the researchers will analyze...
The National Science Foundation Division of Computing and Communication Foundations awarded Georgia TECH Research Corp $149,746 on October 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to investigate the neural correlates of complexity in data visualizations. The research bridges human-computer interaction and neuroscience to establish a theory-driven, predictive framework for understanding how specific visualization design elements foster or hinder cognitive engagement with data. The project employs functional magnetic resonance imaging to map brain networks recruited during interpretation of data visualizations, then conducts controlled experiments using behaviorally validated visualizations that vary systematically across visual complexities. By tracking how design features modulate brain responses and physiological markers, the research will determine whether different types of complexity rely on distinct or overlapping neural systems. The work will produce empirically validated, evidence-based guidelines for visualization design to improve critical engagement, understanding, and education in data visualization. Performance occurs in Atlanta, Georgia, with a period of performance from October 1, 2026, through September 30, 2027. This is an EAGER award, supporting exploratory research with higher risk and potential for transformative impact.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $149.7k | 7/26/26 |