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): Jacqueline Patterson email@example.com
Sponsored by Foundational Issues in Risk Analysis Specialty Group
|Charges or claims of conflict of interest (COI) are made with increasing frequency in the field of risk assessment. Concerns are raised regarding the potential for employment, associations, or funding sources to interfere with the ability of a scientist to objectively conduct or interpret studies, or serve on peer review or advisory panels. Panelists will reflect upon COI and potential for bias that could impact their professional work and how one might mitigate or manage biases and COI. Speakers will address questions such as: How are affiliation and funding source viewed when evaluating potential conflicts of interest and bias? How might the source of funding influence study design, reporting of data, and interpretation? How can concerns regarding COI and bias be managed for peer review and advisory panels, and journal reviewers, editors, and publishers? Are there ways to minimize bias and COI impacts? How do we deal with publication bias? It is important to recognize possible sources of COI and bias and develop ways to mitigate the potential effects. This roundtable will provide an opportunity for participants to discuss openly issues around conflicts and how COI and bias might affect scientistsâ€™ work, as well as their integrity and credibility. Panelists will include Richard Becker, American Chemistry Council; Kevin Elliott, Michigan State University; Elaine Faustman, University of Washington; Rita Schoeny, US Environmental Protection Agency (retired); Kun Don (Sue) Yi, Syngenta Crop Protection |
Jacqueline Patterson, Risk Science Center, University of Cincinnati
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