https://www.dagstuhl.de/22442
October 30 – November 4 , 2022, Dagstuhl Seminar 22442
Toward Scientific Evidence Standards in Empirical Computer Science
Organizers
Brett A. Becker (University College Dublin, IE)
Christopher D. Hundhausen (Washington State University – Pullman, US)
Ciera Jaspan (Google – Mountain View, US)
Andreas Stefik (University of Nevada – Las Vegas, US)
Thomas Zimmermann (Microsoft Corporation – Redmond, US)
For support, please contact
Simone Schilke for administrative matters
Michael Gerke for scientific matters
Documents
Dagstuhl Seminar Schedule (Upload here)
(Use personal credentials as created in DOOR to log in)
Motivation
Many scientific fields of study use formally established evidence standards during the peer review and evaluation process, such as CONSORT (http://www.consort-statement.org) in medicine, the What Works Clearinghouse (https://ies.ed.gov/ncee/wwc/) in education, or the APA Journal Article Reporting Standards (JARS) in psychology (https://apastyle.apa.org/jars). The basis for these standards is community agreement on what to report in empirical studies. Such standards achieve two key goals. First, they make it easier to compare studies, facilitating replications which can provide confidence that multiple research teams can obtain the same results. Second, they establish community agreement on how to report on and evaluate studies using different methodologies.
The discipline of computer science does not have formalized evidence standards, even for major conferences or journals. This Dagstuhl Seminar has three primary objectives:
- To establish a process for creating or adopting an existing evidence standard for empirical research in computer science.
- To build a community of scholars that can discuss what a general standard should include.
- To kickstart the discussion with scholars from software engineering, human computer interaction, and computer science education.
In order to better discuss and understand the implications of such standards across several empirical subfields of computer science and to facilitate adoption, our plan for the seminar includes having representatives from prominent journals in attendance.
Motivation text license Creative Commons BY 4.0
Brett A. Becker, Christopher D. Hundhausen, Ciera Jaspan, Andreas Stefik, and Thomas Zimmermann
Classification
- Computers And Society
- Human-Computer Interaction
- Software Engineering
Keywords
- Community Evidence Standards
- Human Factors