Project Grant 2514565
- The National Science Foundation awarded a $153,400 Project Grant under the Computer and Information Science and Engineering program (CFDA 47.070) to the University of Washington to develop youth data literacies through a visual programming environment. The one-year project will investigate using blocks-based programming with everyday information to teach secondary school students data science skills. A data-focused visual block-based programming toolkit will be created for students to manipulate...
- This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Project Grant, awarded under CFDA 47.070, will fund research to develop an evidence-based and holistic approach to studying the quality of data visualizations and creating design guidelines for effective graphics. The $221,317 award will support experiments to evaluate a wider range of measures and use cases for how people use graphics, and then applying those findings to create guidelines for...
- The Project Grant award of $992,671 from the National Science Foundation's STEM Education program (CFDA 47.076) will establish an interdisciplinary education ecosystem at Clark University to create flexible pathways into, through, and beyond data science education. The key components include: Domain Exploration Modules that integrate data science into diverse disciplines to enhance data literacy among general students and enrich data science education for majors and minors. A Data Science Studio...
- 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 $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 $348,706 Project Grant award from the National Science Foundation's STEM Education program (CFDA 47.076) aims to develop and implement a curricular program for middle-school students in community-based settings. The program will focus on building data visualization skills to help students become critical consumers and interpreters of data. The research goals are to provide empirical evidence of middle school students building data visualization practices through learning technologies and to...
- The National Science Foundation awarded $295,563 under the Computer and Information Science and Engineering federal grant program (CFDA 47.070) to the University of Rochester. This two-year Project Grant will support the development of a novel programming-free and visual-based machine learning environment to enable high school students and teachers with limited data skills to discover complex scientific phenomena through pattern analysis of real-world data. Key activities include creating the...
- The National Science Foundation awarded Northwestern University a $532,579 Project Grant under the Computer and Information Science and Engineering federal grant program (CFDA 47.070) for the period of October 1, 2021 through September 30, 2024. The grant funds collaborative research to develop design guidelines for dynamic visualizations. The Computer and Information Science and Engineering program supports investigator-initiated research and education in computing, communications, and...
- This Project Grant award of $325,000.00 from the National Science Foundation's Social, Behavioral, and Economic Sciences (CFDA 47.075) program was granted to the University of Washington to develop powerful new tools for understanding complex data using cutting-edge artificial intelligence (AI) techniques. The project aims to create fast, flexible, and explainable AI-powered methods to help scientists and decision-makers across diverse fields analyze messy, heterogeneous datasets, identify...
- This $803,673 federal Project Grant award from the National Science Foundation's STEM Education program (CFDA 47.076) aims to develop improved and comprehensive measures for assessing data visualization literacy skills. Awarded to Stanford University, the 2-year project seeks to thoroughly characterize existing measures, determine their reliability and validity, and leverage those insights to create new reproducible procedures for generating unified data visualization literacy assessments. The...
This federal Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $500,000 in funding to the University of Washington to develop an online platform that helps university students learn how to use complex data visualization tools like D3. The objective is to model how students learn new data visualization tools, with an initial focus on D3, in order to develop personalized learning approaches to help students master these tools more effectively. This research aims to ultimately help more U.S. students secure high-paying data science jobs and increase the overall competitiveness of the U.S. data science workforce. The award has an initial period of performance from October 1, 2025 to September 30, 2028.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $500.0k | 7/30/25 |