Book chapter

Un’era dominata da Grande Accelerazione, complessità, incertezza, ansietà

Mauro Lombardi
University of Florence, Italy - ORCID: 0000-0002-3234-7039


ABOUT THIS CHAPTER

As early as 2007 Hibbard and other scholars have pointed out that that in a hyper-connected world innovation processes and cumulative feedbacks through population dynamics, energy, institutions, and political economies have triggered a complex dynamics involving the entire Earth-System. The global landscape is therefore characterized by hierarchical evolving systems, the result within which human decision making processes have to face uncertainty and anxiety, as knowledge is necessarily incomplete, fuzzy, and sometimes even wrong. As many scientists and scholars claim, a lesson can then drawn from nature: unceasingly develop learning and adaptation, enriched by purposeful research, experimentation and rationally founded imagination. I is just during critical phases that it is necessary to enlarge individual and collective knowledge endowment.
Read more

Keywords: Great Acceleration, Complexity, Uncertainty

Formats

PDF

Pages: 29-44

Published by: Firenze University Press

Publication year: 2021

DOI: 10.36253/978-88-5518-310-9.04

Download PDF

© 2021 Author(s)
Content licence CC BY 4.0
Metadata licence CC0 1.0

XML

Publication year: 2021

DOI: 10.36253/978-88-5518-310-9.04

Download XML

© 2021 Author(s)
Content licence CC BY 4.0
Metadata licence CC0 1.0

References

  1. Andersen, K.G. et al. 2020. “The proximal origin of SARS-CoV-2.” Nature Medicine 26 (April 2020): 450-455.
  2. Balte, M. 2020. “Artificial Intelligence (AI) in Supply Chain Planning, The Future is Here & Now.” The European Business Review, 1-10.
  3. BCG. 2020. “Leading out of adversity.” <https://www.bcg.com/it-it/publications/2020/business-resilience-lessons-covid-19> April 9, 2020 (2021-03-10).
  4. Beinhocker, E.D. 2006. The Origin of Wealth. Evolution, Complexity, and the Radical Remaking of Economics. Brighton: Harvard Business Scholl Press.
  5. Brynjolfsson, E., e A. McAfee. 2014. The Second Machine Age. New York: W.W. Norton & Company.
  6. Callaway, E. 2020. “Revolutionary Technique Sees Individual Atoms.” Nature 482 (June, 11): 156-157.
  7. Cohen, J. 2020. “Mining coronavirus genomes for clues to the outbreak’s origins.” Science AAAS, January 31.
  8. Courtney, H.G., Kirkland, J., e S.P. Viguerie. 2000. Strategy under uncertainty. MGI.
  9. Cowen, T. 2010. The Great Stagnation. New York: Dutton.
  10. Crow, D. 2020. “The next virus pandemic is not far away.” Financial Times, 6 August, 2020.
  11. Crutzen, P.J. 2002. “Geology of mankind – The Antropocene.” Nature 415 (January): 23.
  12. Dennett, D.C. 1996 Kinds of Mind. New York: Basic Books.
  13. Deutsch, D. 1997. La trama della realtà. Torino: Einaudi.
  14. Dosi, G., e M. Egidi. 1991. “Substantive and procedural uncertainty. An exploration of economic behaviours in changing environments.” Journal of Evolutionary Economics» 1: 145-168.
  15. Friedman, T.L. 2016. Thank You for Being Late: An Optimist’s Guide to Thriving in the Age of Accelerations. New York: Farrar Strauss Giroux MacMillan Publishers.
  16. Gaffney, O., e W. Steffen. 2017. “The Antropocene equation.” The Antropocene Review» 4 (1): 53-61.
  17. Gordon, R.J. 2012. “Is U.S. Economic Growth Over? Faltering Innovation Confronts the Six Headwinds.” NBER Working Paper 18315.
  18. Gregory, R.L. 1981. Mind in Science. History of Explanations in Physics and Psychology. London: Widenfeld and Nicholson.
  19. Hassani, B.K. 2016. Scenario Analysis in Risk Management. New York: Springer.
  20. Hibbard, K.A. et al. 2005. “Decadal interactions of humans and the environment.” In: Integrated History and Future of People on Earth, ed. by R. Costanza, Dahlem Workshop Report 96, 341-375. Cambridge: MIT Press.
  21. Horizon – The EU Research & Innovation Magazine. 2020. “The Age of Anxiety.” <https://horizon-magazine.eu/article/age-anxiety.html> June 9, 2020 (2021-03-10).
  22. Hunderson, L.H. 2000. “Ecological Resilience – In Theory and Application.” Annual Review of Ecology and Systematics 31: 425-439.
  23. IMF 2020. “From Great Lockdown to Great Transformation.” <https://www.imf.org/en/News/Articles/2020/06/09/sp060920-from-great-lockdown-to-great-transformation> June 9, 2020 (2021-13-10).
  24. Lehmacher, W. 2016. The Global Supply Chain. How Technology and Circular Thinking Transform Our Future. New York: Springer.
  25. Levin, S.A. 1998. “Ecosystems and the Biosphere as Complex Adaptive Systems.” Ecosystems 1: 431-436.
  26. Lewis, S.L., e M.A. and Maslin. 2015. “Defining the Anthropocene.” Nature 519: 171-80.
  27. Lorenz, E.N. 1972. Predictability: Does the Flap of a Butterfly’s Wings in Brazil Set Off a Tornado in Texas?. American Association for the Advancement of Science, 139 Meeting, December 29.
  28. MGI. 2020a. The future of business: Reimagining 2020 and beyond. McKinsey Global Institute, July.
  29. MGI. 2020b. Leadership in a crisis: Responding to the coronavirus outbreak and future challenges. McKinsey Global Institute, March.
  30. Minsky, M. 1974. A Framework for Representing Knowledge. Massachusetts Institute of Technology A.I: Laboratory, Memo N. 306, June.
  31. Minsky, M. 1986. The Society of Mind. New York: Simon & Schuster.
  32. Minsky, M. 2006. The Emotion Machine. New York: Simon & Schuster.
  33. Mokyr J., et al. 2015. “The History of Technological Anxiety and the Future of Economic Growth: Is This Time Different?” Journal of Economic Perspectives 29 (3): 31-50.
  34. Moore, G.E. 1965. “Cramming more components onto integrated circuits.” Electronics 38 (8), April 19.
  35. OECD. 2020. “Future of Education and Skills 2030.” <https://www.oecd.org/education/2030-project/> (2021-03-10).
  36. Owen, J. 2020. “20 of the worst epidemics and pandemics in history.” Live Science, March, 20.
  37. Polanyi, K. 2000 (1944). La Grande Trasformazione. Torino: Einaudi.
  38. Plsek, P.E., e T. Greenhalgh. 2001. “The Challenge of Complexity in Health Care.” British Medical Journal of Clinical Research,·October.
  39. Ruddiman, W.F. 2013. “The Anthropocene.” Annual Review of Earth and Planetary Science 41: 45-68.
  40. Shrage, M. 2017. “4 Models for Using AI to Make Decisions.” Harvard Business Review – Blog, January.
  41. Sohrabi, S. et al. 2018. An AI Planning Solution to Scenario Generation for Enterprise Risk Management. Association for the Advancement of Artificial Intelligence.
  42. Steffen, W. et al. 2004. Global Change and the Earth System. A Planet Pressure. New York: Springer.
  43. Steffen, W. et al. 2007. “The Anthropocene: Are Humans Now Overwhelming the Great Forces of Nature.” A Journal of the Human Environment 36 (8): 614-621.
  44. Steffen, W. et al. 2015. “The trajectory of the Anthropocene: The Great Acceleration.” The Anthropocene Review 2 (1): 81-98.
  45. WEF. 2020. “Great reset Initiative.” <https://www.weforum.org/great-reset> (2021-03-10).
  46. Weiser, M. 1991. “The Computer for the 21st Century.” Scientific American, September.
  47. Weiser, M. 1993. “Some Computer Science Issue non Ubiquitous Computing.” Communication at the ACM 361 (7).
  48. Young, D., e M. Reeves. 2020. The Quest for Sustainbale Model of Innovation. BCG, Henderson Institute, March.

Export citation

Selected format

Usage statistics policy

  • 4Chapter Downloads

Cita come:
Lombardi, M.; 2021; Un’era dominata da Grande Accelerazione, complessità, incertezza, ansietà. Firenze, Firenze University Press.


Distributori


Indici e aggregatori bibliometrici