TY - JOUR
T1 - What science can do for democracy
T2 - a complexity science approach
AU - Eliassi-Rad, Tina
AU - Farrell, Henry
AU - Garcia, David
AU - Lewandowsky, Stephan
AU - Palacios, Patricia
AU - Ross, Don
AU - Sornette, Didier
AU - Thébault, Karim
AU - Wiesner, Karoline
N1 - Publisher Copyright:
© 2020, The Author(s).
PY - 2020/12/1
Y1 - 2020/12/1
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/85089673854
U2 - 10.1057/s41599-020-0518-0
DO - 10.1057/s41599-020-0518-0
M3 - Comment/Debate
AN - SCOPUS:85089673854
SN - 2055-1045
VL - 7
JO - Humanities and Social Sciences Communications
JF - Humanities and Social Sciences Communications
IS - 1
M1 - 30
ER -
