Evidence map›Paper›PMID 40321625›Full record

ArticleNpj complexity2025

Governance as a complex, networked, democratic, satisfiability problem.

Laurent Hébert-Dufresne, Nicholas W Landry, Juniper Lovato, Jonathan St-Onge, Jean-Gabriel Young, Marie-Ève Couture-Ménard, Stéphane Bernatchez, Catherine Choquette, Alan A Cohen

Abstract read
In one paragraph

Article in Npj complexity, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Laurent Hébert-DufresneVermont Complex Systems Institute, University of Vermont, Burlington, VT USA.
Nicholas W LandryVermont Complex Systems Institute, University of Vermont, Burlington, VT USA.
Juniper LovatoVermont Complex Systems Institute, University of Vermont, Burlington, VT USA.
Jonathan St-OngeVermont Complex Systems Institute, University of Vermont, Burlington, VT USA.
Jean-Gabriel YoungVermont Complex Systems Institute, University of Vermont, Burlington, VT USA.
Marie-Ève Couture-MénardFaculté de Droit, Université de Sherbrooke, Sherbrooke, (Québec) Canada.
Stéphane BernatchezFaculté de Droit, Université de Sherbrooke, Sherbrooke, (Québec) Canada.
Catherine ChoquetteFaculté de Droit, Université de Sherbrooke, Sherbrooke, (Québec) Canada.
Alan A CohenButler Columbia Aging Center and Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Democratic governments comprise a subset of a population whose goal is to produce coherent decisions solving societal challenges while respecting the will of the people. New governance frameworks represent this as a social network rather than as a hierarchical pyramid with centralized authority. But how should this network be structured? We model the decisions a population must make as a satisfiability problem and the structure of information flow involved in decision-making as a social hypergraph. This framework allows to consider different governance structures, from dictatorships to direct democracy. Between these extremes, we find a regime of effective governance where small overlapping decision groups make specific decisions and share information. Effective governance allows even incoherent or polarized populations to make coherent decisions at low coordination costs. Beyond simulations, our conceptual framework can explore a wide range of governance strategies and their ability to tackle decision problems that challenge standard governments.

Indexed as

GovernmentStatistical physics, thermodynamics and nonlinear dynamics

Identifiers

PMID40321625
PMCPMC12045800

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.