What science can do for democracy: a complexity science approach

Tina Eliassi-Rad, Henry Farrell, David Garcia, Stephan Lewandowsky, Patricia Palacios, Don Ross (), Didier Sornette, Karim Thébault and Karoline Wiesner ()
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Tina Eliassi-Rad: Northeastern University
Henry Farrell: George Washington University
David Garcia: Medical University of Vienna
Stephan Lewandowsky: University of Bristol
Patricia Palacios: University of Salzburg
Didier Sornette: ETH Zurich
Karim Thébault: University of Bristol
Karoline Wiesner: University of Bristol

Palgrave Communications, 2020, vol. 7, issue 1, 1-4

Abstract: Abstract Political scientists have conventionally assumed that achieving democracy is a one-way ratchet. Only very recently has the question of “democratic backsliding” attracted any research attention. We argue that democratic instability is best understood with tools from complexity science. The explanatory power of complexity science arises from several features of complex systems. Their relevance in the context of democracy is discussed. Several policy recommendations are offered to help (re)stabilize current systems of representative democracy.

Date: 2020
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DOI: 10.1057/s41599-020-0518-0

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