Project Grant 2346660
- 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 $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 Project Grant award from the National Science Foundation (CFDA 47.074 - Biological Sciences) to Northeastern University provides $300,000 to develop a guide for ethical and effective practices for statistical graphics. The project aims to create guidelines that will help scientists across STEM disciplines communicate their research findings transparently, honestly, and mindfully through data visualizations. The project involves interviews with practitioners and ethicists, as well as...
- 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...
- 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 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 three-year project grant from the National Science Foundation's Division of Computer and Network Systems, totaling $1,494,566, will support the development of the Revisit infrastructure under the Computer and Information Science and Engineering program. Revisit is a suite of modular tools for designing and conducting online studies of interactive data visualizations. It will provide infrastructure for flexible experiment creation, instrumented data collection including user interactions,...
- 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...
- New York University received a $267,421 project grant award from the National Science Foundation to support research titled "COLLABORATIVE RESEARCH: HCC: MEDIUM: DESIGN GUIDELINES FOR DYNAMIC VISUALIZATIONS" from October 1, 2021 through September 30, 2024. The award was made under the NSF's Computer and Information Science and Engineering program (CFDA 47.070), which supports investigator-initiated research and education in computing, communications, and information science and...
- This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) provides $400,000 to the Massachusetts Institute of Technology (MIT) to investigate methods and systems that allow blind and low-vision (BLV) users to build customized, interactive multisensory data representations spanning text, audio, and tactile modalities. The goal is to empower BLV individuals to engage in data analysis as richly...
COLLABORATIVE RESEARCH: FRAMEWORK FOR BETTER VISUAL COMMUNICATION PRACTICES -EVERY DAY, PEOPLE USE SCIENTIFIC INFORMATION TO MAKE DECISIONS THAT AFFECT THEIR LIVES. CONSEQUENTLY, IT IS CRITICAL THAT THE RESULTS OF SCIENTIFIC RESEARCH ON TOPICS IMPACTING THE PUBLIC ARE COMMUNICATED EFFECTIVELY. DATA VISUALIZATION IS AN IMPORTANT PART OF SCIENTIFIC COMMUNICATION, YET MUCH GUIDANCE ON THE CLEAR AND EFFECTIVE DESIGN OF DATA GRAPHICS HAS NOT BEEN TESTED AMONG A REPRESENTATIVE POPULATION OF U.S. ADULTS. THE RESEARCHERS EXAMINE HOW ACCURATELY USERS INTERPRET THE INFORMATION CONVEYED IN DIFFERENT TYPES OF DATA VISUALIZATIONS. THE FINDINGS SUPPORT EVIDENCE-BASED RECOMMENDATIONS THAT AID IN THE FAIR AND EQUITABLE COMMUNICATION OF SCIENTIFIC INFORMATION ACROSS DEMOGRAPHIC GROUPS AND SUBPOPULATIONS. THIS RESEARCH ADVANCES UNDERSTANDING OF DATA VISUALIZATION AS A METHOD OF COMMUNICATION AND PROVIDE COMPREHENSIVE DATA ON VIEWER INTERPRETATION AND UNDERSTANDING OF DATA GRAPHICS AMONG THE ADULT U.S. POPULATION. THE RESEARCHERS IMPLEMENT AN ONLINE SURVEY THROUGH A WEB PORTAL TO 2,000 RESPONDENTS FROM A PROBABILITY-BASED, NATIONALLY REPRESENTATIVE PANEL OF U.S. ADULTS. RESPONDENTS ARE SHOWN MULTIPLE TYPES OF DATA VISUALIZATIONS WITH VARIOUS DESIGN ELEMENTS, SUCH AS BAR AND LINE CHARTS WITH VARYING LEVELS OF SUPPORTING CONTEXT AND ASKED QUESTIONS THAT MEASURE THEIR UNDERSTANDING AND INTERPRETATION OF THE DATA PRESENTED. SURVEY QUESTIONS THEN ASK ABOUT BASIC INTERPRETATION OF THE VALUES PRESENTED IN A CHART AND OPEN-ENDED RESPONSES ABOUT WHAT CONCLUSIONS RESPONDENTS CAN DRAW ABOUT THE DATA SHOWN. THE RESEARCHERS ANALYZE THE DATA USING GENERALIZED LINEAR MODELS, NATURAL LANGUAGE PROCESSING, AND TEXT ANALYSIS TECHNIQUES TO DETERMINE THE EFFECT OF DIFFERENT ELEMENTS OF DATA VISUALIZATION DESIGN, SUCH AS THE TYPE OF CHART OR SUPPORTING CONTEXT, ON USER UNDERSTANDING, AND THE EXTENT TO WHICH UNDERSTANDING MAY VARY ACROSS DEMOGRAPHIC GROUPS. THE PROJECT IS CO-FUNDED BY THE SCIENCE OF SCIENCE: DISCOVERY, COMMUNICATIONS, AND IMPACT AND THE ADVANCING INFORMAL STEM LEARNING PROGRAMS. THIS AWARD REFLECTS NSF'S STATUTORY MISSION AND HAS BEEN DEEMED WORTHY OF SUPPORT THROUGH EVALUATION USING THE FOUNDATION'S INTELLECTUAL MERIT AND BROADER IMPACTS REVIEW CRITERIA.- SUBAWARDS ARE NOT PLANNED FOR THIS AWARD.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $0 | 11/17/25 | ||
| Not listed | $187.2k | 7/3/24 |