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The Futures Polygon Development

  • Antonio Pacinelli
Chapter

Abstract

The idea of the Futures Polygon (FP) stemmed from reading about the Futures Wheel (FW) (Glenn, Futures Research Methodology. Washington, DC, 1994) and realizing that the FW lacked the concept of evaluating the likelihood of the forecasted impacts, indispensable in exploring the future. Two complementary problem areas emerge from the FW approach: the evaluation of the probability of an “impact scenario” generated by the FW; the determination of a “realistic temporal horizon” for the results of the FW. The FW stimulate more questions: What is the probability that the plausible events have to happen within a certain temporal horizon? How many years does the system require to register a first reaction to the impact? How many years does the impact intensity require to get to its maximum? How long does the impact last? What is the impact consolidation level? (as in Gordon’s Trend Impact Analysis, 1994). With the FP you try to answer the previous questions. The main issue of the method proposed in this chapter derives from the use of subjective probability and, in particular, of the conditional probability. The subjectivists believe that the probability is “the degree of confidence that a coherent individual attaches to the occurrence of an event” (De Finetti, Annales de l’Institut Henri Poincaré 7:1–68, 1937).

References

  1. Brauers, J., & Weber, M. (1988). A New Method of Scenario Analysis for Strategic Planning. Journal of Forecasting, 7(1), 31–47.CrossRefGoogle Scholar
  2. Dalkey, N. C., & Helmer, O. (1963). An Experimental Application of Delphi Method to the Use of Experts. Management Science, 9(3), 458–467.CrossRefGoogle Scholar
  3. De Finetti, B. (1937). La Prévision: Ses Lois, logiques, Sef Sources Subjectives. Annales de l’Institut Henri Poincaré, 7, 1–68.Google Scholar
  4. Di Giandomenico, M. (2004). “L’applicazione della tecnica Futures Wheel finalizzata alla individuazione degli impatti sulla realtà chietina-ortonese dati dalla realizzazione di due soluzioni: “giornate di orientamento al lavoro presso le scuole” e “progetto coach Work.” In Fabbisogni lavorativi delle imprese dell’area chietino-ortonese, Equal-linea, edited by Cannarsa, Vasto, 56–72.Google Scholar
  5. Di Zio, S., & Pacinelli, A. (2009). Desiderata Stability. Methodological Considerations. In J. Kultalahti, I. Karppi, O. kuktalahti, & E. Todisco (Eds.), Globalisation (pp. 99–118). Finland: East-West Books Helsinki.Google Scholar
  6. Glenn, J. C. (1972). Futurizing Teaching vs Futures Course. Social Science Record, 9(3), 26–29.Google Scholar
  7. Glenn, C. J. (1994). The Participatory Methodology. In J. C. Glenn & T. J. Gordon (Eds.), Futures Research Methodology. Washington, DC: The Millennium Project, American Council for United Nations University.Google Scholar
  8. Gordon, T. J. (1994). The Trend Impact Analysis. In J. C. Glenn & T. J. Gordon (Eds.), Futures Research Methodology. Washington, DC: The Millennium Project, American Council for United Nations University.Google Scholar
  9. Gordon, T. J., & Hayward, H. (1968). Initial Experiments with the Cross-Impact Matrix Method of Forecasting. Futures, 1(2), 100–116.CrossRefGoogle Scholar
  10. Kane, J. (1972). A Primer for a New Cross Impact Language- KSIM. Technological Forecasting and Social Change, 4(2), 129–142.CrossRefGoogle Scholar
  11. Lévy, P. (1994). L’intelligence collective. Pour anthropologie du cyberspace. Paris: La Découverte.Google Scholar
  12. Moskowitz, H., & Sarin, R. K. (1983). Improving the Consistency of Conditional Probability Assessments for Forecasting and Decision Making. Management Science, 29(6), 735–749.CrossRefGoogle Scholar
  13. Nair, K., & Sarin, R. K. (1979). Generating Future Scenarios—Their Use in Strategic Planning. Long Range Planning, 12(3), 57–61.CrossRefGoogle Scholar
  14. Pacinelli, A. (2002). Sull’uso di metodi soggettivi nella Pianificazione Sociale Partecipata: verso la Democrazia Continua. Statistica & Società, 1(2), 23–28.Google Scholar
  15. Pacinelli, A. (2006). A Complementary Method to Future Wheel: The Future Polygon. Futures Research Quarterly, 22(1), 71–78.Google Scholar
  16. Pacinelli, A. (2007). Metodi per la ricerca sociale partecipata. Milano: Franco Angeli.Google Scholar
  17. Pacinelli, A. (2012). I metodi della previsione. In R. Poli & S. Arnaldi (Eds.), La previsione sociale. Introduzione allo studio dei futuri (pp. 149–163). Roma: Carocci editrice.Google Scholar
  18. Suppes, P. (1984). La logica del probabile: un approccio bayesiano alla razionalità. Bologna: Clueb.Google Scholar

Copyright information

© The Author(s) 2018

Authors and Affiliations

  • Antonio Pacinelli
    • 1
  1. 1.Department of Legal and Social Sciences“G. d’Annunzio University”Chieti-PescaraItaly

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