Visualization and Decision Making Design Under Uncertainty

Journal Article · Fri Feb 03 04:00:00 EST 2023 · Dagstuhl Reports

DOI:https://doi.org/10.4230/DagRep.12.8.1· OSTI ID:1960764

Boukhelifa, Nadia; Johnson, Christopher R.; Potter, Kristi

This report documents the program and the outcomes of Dagstuhl Seminar 22331 "Visualization and Decision Making Design Under Uncertainty". The seminar brought together 33 researchers and practitioners from different domains concerned with visualization and decision making under uncertainty including visualization, visual analytics, human-computer interaction, artificial intelligence, climate research, geography and geology. The programme was organized in two parts: In the first part which lasted two days, participants gave short talks where they discussed current practices and the uncertainty visualization challenges they encountered in their own research. At the end of day two, participants brainstormed collectively around the main uncertainty visualization research challenges across domains and applications. In the second part, participants voted for the following three main challenges they wished to discuss for the remainder of the seminar (one and a half days): applications, human-centered uncertainty visualization, a design process for uncertainty visualization. Thus three break-out groups were formed to discuss these challenges. Abstracts for the individual talks and the break-out group activities are included in this report.

• Research Organization: National Renewable Energy Laboratory (NREL), Golden, CO (United States)
• Sponsoring Organization: USDOE National Renewable Energy Laboratory (NREL)
• DOE Contract Number: AC36-08GO28308
• OSTI ID: 1960764
• Report Number(s): NREL/JA-2C00-84836; MainId:85609; UUID:394bda64-4b04-456b-8f96-157863cd481b; MainAdminID:68962
• Journal Information: Dagstuhl Reports, Journal Name: Dagstuhl Reports Journal Issue: 8 Vol. 12
• Country of Publication: United States
• Language: English

Related Subjects

MATHEMATICS AND COMPUTING
decision making
uncertainty visualization
visual analytics
visualization