Approach to the use of science on urgent issues involving uncertainty in facts and moral values
Post-normal science (PNS) was developed in the 1990s by Silvio Funtowicz and Jerome R. Ravetz.[1][2][3] It is a problem-solving strategy appropriate when "facts [are] uncertain, values in dispute, stakes high and decisions urgent", conditions often present in policy-relevant research. In those situations, PNS recommends suspending temporarily the traditional scientific ideal of truth, concentrating on quality as assessed by internal and extended peer communities.[1][4]
PNS can be considered as complementing the styles of analysis based on risk and cost-benefit analysis prevailing at that time and integrating concepts of a new critical science developed in previous works by the same authors.[5][6]
PNS is not a new scientific method following Aristotle and Bacon, a new paradigm in the Kuhnian sense, or an attempt to reach a new ‘normal’. It is instead, a set of insights to guide actionable and robust knowledge production for policy decision making and action in challenges like pandemics, ecosystems collapse, biodiversity loss and, in general, sustainability transitions.[7][8]
^ abFuntowicz, S. O. and Ravetz, J. R., 1991. "A New Scientific Methodology for Global Environmental Issues", in Costanza, R. (ed.), Ecological Economics: The Science and Management of Sustainability: 137–152. New York: Columbia University Press.
^Funtowicz, S. O. and Ravetz, J. R., 1992. "Three types of risk assessment and the emergence of postnormal science", in Krimsky, S. and Golding, D. (eds.), Social theories of risk: 251–273. Westport, Connecticut: Greenwood.
^Ravetz, J. R., 1971. Scientific Knowledge and its Social Problems. Oxford University Press.[page needed]
^Funtowicz, S. and Ravetz, J., "Post-normal science", in Companion to Environmental Studies, Edited ByNoel Castree, Mike Hulme, James D. Proctor, 2018, Routledge.
^Strand, R., "Post-Normal Science", in Routledge Handbook of Ecological Economics, Edited By Clive L. Spash, 2017, Routledge.