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Uncertainty and risk-taking in science: Meaning,measurement and management in peer review of research proposals
Institution:1. School of Management, Polytechnic University of Milan, Piazza Leonardo da Vinci, 32, Milan 20123, Italy;2. Andrew Young School of Policy Studies, Georgia State University, Atlanta, GA 30302, USA;3. National Bureau of Economic Research, Cambridge, MA 02138, USA;1. Coles College of Business, Kennesaw State University, United States of America;2. St. Gallen Institute of Management in Asia Pte. Ltd., 110 Amoy Street, #03-01, Singapore 069930, Singapore;1. ETH Zürich, Weinbergstrasse 56/58 WEV H-311, CH-8092 Zürich, Switzerland;2. Ghent University, Department of Marketing, Innovation, and Organisation, Hoveniersberg 2, B-9000 Gent, Belgium;1. School of Innovation Sciences, Eindhoven University of Technology, Eindhoven, Netherlands
Abstract:Concern that the selection of research projects by peer review disfavors risky science has called attention to ways to incorporate risk into the evaluation of research proposals. This discussion often occurs in the absence of well-defined and developed concepts of what risk and uncertainty mean in science. This paper sets out to address this void with the goal of providing building blocks to further the discussion of the meaning of risk and uncertainty in science. The core contributions of the paper are fourfold. First, we outline the meaning of risk in science, drawing on insights from literatures on risk and uncertainty. Second, based on this outline, we discuss possible ways in which programs can embrace a more comprehensive concept of risk and embed it in peer review of proposals, with the goal of not penalizing risky research proposals with the potential of high return when funding decisions are made. Third, we make an important distinction between research projects involving high-risk and research projects whose evaluation is subjected to ambiguity/radical uncertainty. Fourth, we discuss possible ways of addressing ambiguity/radical uncertainty by funding agencies.
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