Abstract
Forecasting through futurism has historically been characterized by a lack of both focus and accuracy. Reflexive governance may be capable of addressing the limitations that often cause forecasting failures. Now may be the critical time for implementation of a policy that effectively and adequately addresses cutting-edge scientific issues in a complex world.
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References
Bazerman MH, Watkins MD (2008) Predictable surprises. Harvard Business School Press, Cambridge, MA
Bedford MT (1972) The value of ‘comments’ analysis and an analysis of SPRITE as a planning tool. In: Delphi: the Bell Canada experience. Bell Corporation, Montreal, Canada
Boucher W (ed) (1977) The study of the future: an agenda for research. National Science Foundation (under grant GI 37178), Washington, DC
Colglazier EW, Lyons EE (2014) The United States looks to the global science, technology, and innovation horizon. In: Science & diplomacy. AAAS Center for Science Diplomacy, Washington, DC
Collins HM, Evans R (2002) The third wave of science studies. Soc Stud Sci 32:235–296
Cooper G (2002) Air-conditioning America: engineers and the controlled environment, 1900–1960. Johns Hopkins University Press, Baltimore
De Geus A (1988) Planing as Learning. Harvard business review. https://hbr.org/1988/03/planning-as-learning
Edgerton D (2007) The shock of the old: technology and global history since 1900. Oxford University Press, Oxford, UK
Fischhoff B (1975) Hindsight foresight: the effect of outcome knowledge on judgment under uncertainty. J Exp Psychol Hum Percept Perform 1:288–299
Fuerth L, Farber E (2012) Anticipatory governance: practical upgrades, project on forward engagement. http://www.wilsoncenter.org/sites/default/files/Anticipatory_Governance_Practical_Upgrades.pdf
Galison P (1997) Image and logic: a material culture of microphysics. The University of Chicago Press, Chicago
Glenn J, Gordon T (2000) Factors required for successful implementation of futures research in decision making. Millennium Project. http://www.millennium-project.org/millennium/applic-ch1.html
Gordon TJ, Helmer O (1964) Report on a long-range forecasting study. The RAND Corporation, Report P-2982
Green RJ, Lepowski W (2006) A forgotten model for purposeful science. In: Issues in science and technology. National Academy of Science, Washington, DC, Winter
Jamison A (2010) In search of green knowledge: a cognitive approach to sustainable development. In: Moore S (ed) Pragmatic sustainability: theoretical and practical tools. Routledge, New York, pp 68–80
Kahneman D (2011) Thinking fast and slow. Farrar, Straus and Giroux, New York
Kaplan A, Skogstad AL, Girshick MA (1950) The prediction of social and technological events. Public Opin Q 14(1):93–110
Kupers R, Colander D (2014) Complexity and the art of public policy: solving today’s problems from the bottom up. Princeton University Press, Princeton
Latour B (2005) From Realpolitik to Dingpolitik or how to make things public. In: Latour B, Weibel P (eds) Making things public – atmospheres of democracy. MIT Press/ZKM, Cambridge, MA/Karlsruhe, pp 14–43
Mandel D, Barnes A (2014) Accuracy of forecasts in strategic intelligence. Proc Natl Acad Sci 111(30):10984–10989
Pauwels E (2013) Who let the ‘social scientists’ into the lab? Chapter 8. In: Savage N, Gorman M, Street A (ed) Emerging technologies: socio-behavioral life cycle approaches. Pan Stanford Publishing, Singapore, pp 180–190
RAND Corporation (1967) The future as an object of research, Report P-3593
Rayner S (2004) The novelty trap: why does institutional learning about new technologies seem so difficult? Ind High Educ 18:349–355
Sackman H (1975) Delphi critique: expert opinion, forecasting, and group process. Lexington Books, Lexington
Schuurbiers D, Fisher E (2009) Lab-scale intervention. EMBO Rep 10:424–427
Smith A, Stirling A (2007) Moving outside or inside? Objectification and reflexivity in the governance of socio-technical systems. J Environ Polic Plann, 9(3-4):351–373
Snow CP (1993) The two cultures. Cambridge University Press, Cambridge, UK
Sterman J (2008) Learning from evidence in a complex world. Am J Public Health 96(3):505–514
Stirling A (2008) ‘Opening up’ and ‘closing down’: power, participation, and pluralism in the social appraisal of technology. Sci Technol Hum Values 33(2):262–294
Tetlock P (2006) Expert political judgment: how good is it? How can we know? Princeton University Press, Princeton
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Rejeski, D., Pauwels, E., Koo, J. (2016). Science and Technology Forecasting. In: Bainbridge, W., Roco, M. (eds) Handbook of Science and Technology Convergence. Springer, Cham. https://doi.org/10.1007/978-3-319-07052-0_13
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DOI: https://doi.org/10.1007/978-3-319-07052-0_13
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