DagRep.12.9.220.pdf
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Transparent Quantitative Research as a User Interface Problem (Dagstuhl Seminar 22392)
Authors and all authors of the abstracts in this report
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Dagstuhl Reports, Volume 12, Issue 9
Volume: Dagstuhl Reports, Volume 12
Journal: Dagstuhl Reports (DagRep) - License:
Creative Commons Attribution 4.0 International license
- Publication Date: 2023-04-04
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Chat Wacharamanotham, Yvonne Jansen, Amelia A. McNamara, Kasper Hornbæk, Judy Robertson, and Lahari Goswami. Transparent Quantitative Research as a User Interface Problem (Dagstuhl Seminar 22392). In Dagstuhl Reports, Volume 12, Issue 9, pp. 220-234, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2023)
https://doi.org/10.4230/DagRep.12.9.220
https://doi.org/10.4230/DagRep.12.9.220
Abstract
The replication crises in many scientific fields galvanize movements toward Open Science. Within this movement is a push for increasing research transparency. Although researchers in the areas of Human-Computer Interaction (HCI) and Visualization (VIS) face these challenges, they have methodological expertise to study, design, and evaluate innovations that could help improve research transparency. This Dagstuhl Seminar gathers HCI and VIS researchers and those from adjacent fields such as statistics and psychology to discuss challenges in promoting and adopting research transparency, create prototypes of potential solutions, and receive feedback from policy influencers in the research community. This seminar fostered seeds for future initiatives and collaboration toward improving research transparency in HCI, VIS, and other scientific fields.
Subject Classification
ACM Subject Classification
- Human-centered computing → Empirical studies in HCI
- Human-centered computing → Empirical studies in visualization
Keywords
- Open Science
- Research Transparency
- Replicability
- Reproducibility
- Dagstuhl Seminar
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