Society For Risk Analysis Annual Meeting 2017
Session Schedule & Abstracts
* Disclaimer: All presentations represent the views of the authors, and not the organizations that support their research. Please apply the standard disclaimer that any opinions, findings, and conclusions or recommendations in abstracts, posters, and presentations at the meeting are those of the authors and do not necessarily reflect the views of any other organization or agency. Meeting attendees and authors should be aware that this disclaimer is intended to apply to all abstracts contained in this document. Authors who wish to emphasize this disclaimer should do so in their presentation or poster. In an effort to make the abstracts as concise as possible and easy for meeting participants to read, the abstracts have been formatted such that they exclude references to papers, affiliations, and/or funding sources. Authors who wish to provide attendees with this information should do so in their presentation or poster.
|Chair(s): CN Haas|
|Participants: LA Cox, RISK ANALYSIS Area Editors|
Reproducibility, open data and open software are increasingly viewed as important in the conduct of science and scientifically based risk assessments. This aligns with historical concerns about transparency in risk analysis. This roundtable will facilitate a discussion on the degree to which open data, open software and principles of reproducible analysis should be encouraged, or even required, for publication in RISK ANALYSIS.
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