Project Grant 2542846
- The National Science Foundation awarded a $550,000 project grant to Arizona State University under the Computer and Information Science and Engineering federal grant program (CFDA 47.070) for the period of October 1, 2022 through September 30, 2025. The grant will support the development of novel techniques and open source software tools to enable the creation of privacy-preserving data visualizations. A visualization grammar will be established to specify visualization designs that consider...
- 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 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...
- Federal Project Grant Award Summary The University of Illinois received a $222,663 Project Grant award from the National Science Foundation's Division of Information and Intelligent Systems under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070), effective August 1, 2025 through April 30, 2026. This CAREER award funds research to develop trustworthy analytics tools that mitigate the risk of false discoveries in interactive data visualization and analysis. The...
- The National Science Foundation (NSF) awarded a $599,518 Project Grant under the Computer and Information Science and Engineering program (CFDA 47.070) to the University of Maryland, College Park. This five-year grant, which began on September 1, 2023, will support research into "Manipulable Semantic Components in Data Visualization Design." The key focus of the project is to develop new interaction paradigms for data visualization design, enabling flexible manipulation of graphical...
- This Project Grant from the National Science Foundation's Computer and Information Science and Engineering program provides $1.2 million to the University of North Carolina at Chapel Hill to develop counterfactual-centered methods for data visualization from October 1, 2022 to September 30, 2026. The university will design and implement new computational techniques and open-source software to enhance traditional data visualization tools. By incorporating comparisons to counterfactual data...
- Federal Project Grant Award Summary The National Science Foundation's Division of Information and Intelligent Systems awarded $221,317 to the University of Nebraska (Board of Regents) on October 1, 2025, under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) to develop empirically-grounded frameworks and guidelines for designing and assessing statistical data graphics. The primary deliverable is a comprehensive, evidence-based approach to studying data...
- This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Award (CFDA 47.070) for $320,000 will be used by the University of Notre Dame to pursue a novel direction in scientific visualization research. The project aims to develop core visualization research, promote new methods for scientific visualization, and integrate the research into education through special lectures, class projects, and a new course. The research team will develop novel...
- This $240,900 Project Grant award, funded by the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070), supports the development of educational resources for the ethical use of pervasive data in computing research. The project aims to address the unique ethical challenges around the collection and use of pervasive data - rich information generated from people's digital interactions - which often falls outside traditional human subjects...
- This Project Grant award, valued at $540,000.00, was provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program. The grant supports a collaborative research project between researchers at Northeastern University to develop methods for designing "responsive uncertainty visualizations" that can effectively communicate the uncertainty in data to users with varying levels of expertise and decision-making needs. The...
This CAREER award of $402,391 from the National Science Foundation's Division of Computing and Communication Foundations (CFDA 47.070: Computer and Information Science and Engineering) supports research at the University of Chicago from June 1, 2026, through May 31, 2031. The project reframes data visualization as a mechanism for disclosure, developing tools and frameworks that balance competing goals such as effective communication, data privacy protection, and honest representation. Key deliverables include computational formalisms and software that enable automated reasoning over visualization design spaces, tools to assist visualization authors in making responsible disclosure decisions, and interfaces that generate explanatory content for audiences to critically evaluate what visualizations may obscure by design. The award will produce complementary educational materials, interactive games, and practical guidelines to support responsible use of visualizations across scientific and public communication contexts. By codifying information loss considerations into mathematical models and software systems, the project aims to establish ethical standards for data communication and enable both visualization creators and consumers to make more informed decisions about data representation. The research addresses a critical gap in understanding how visualizations inherently involve trade-offs between completeness and clarity, ultimately contributing to more transparent and trustworthy data communication practices.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $402.4k | 5/13/26 |