Fair algorithms for selecting citizens' assemblies.

ABSTRACT: Globally, there has been a recent surge in 'citizens' assemblies'¹, which are a form of civic participation in which a panel of randomly selected constituents contributes to questions of policy. The random process for selecting this panel should satisfy two properties. First, it must produce a panel that is representative of the population. Second, in the spirit of democratic equality, individuals would ideally be selected to serve on this panel with equal probability^2,3. However, in practice these desiderata are in tension owing to differential participation rates across subpopulations^4,5. Here we apply ideas from fair division to develop selection algorithms that satisfy the two desiderata simultaneously to the greatest possible extent: our selection algo

SUBMITTER: Flanigan B 

PROVIDER: S-EPMC8387237 | biostudies-literature | 2021 Aug

REPOSITORIES: biostudies-literature