Abstract

Abstract This discussion article explores the ontological and epistemic basis for analysing social preferences in the broader interdisciplinary field of Science, Technology, and Innovation (STI) policy studies and its evaluation using stated preference (SP) methods. STI policy studies base their approximations of policy problems on a revealed preference (RP) approach, which analyses economic agents' actual market behaviours based on standardized data sources. SP methods arose as an alternative to address the analysis of public goods for which the market fails to assign prices efficiently and can only be evaluated in hypothetical or contingent situations. In an analytical context of complexity defined by grand societal challenges related to the provision of public goods to be addressed by STI transformative policies, analysing social preferences by SP methods could support a more robust and holistic approach to STI policy analysis and its evaluation, improving the policy-making process and promoting more informed policy mixes and evaluation policy mixes. A kind of Kantian categorical imperative favouring SP methods is discussed based on the new STI policy research agenda on transformative change and supported by axiology around social choice, welfare, and a more participative STI policy governance.

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