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, Karoline Wiesner

Research output: Contribution to journalComment/debatepeer-review

4 Citations (Scopus)

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.

Original languageEnglish
Article number30
JournalHumanities and Social Sciences Communications
Volume7
Issue number1
DOIs
Publication statusPublished - 1 Dec 2020
Externally publishedYes

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