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How to build inclusive institutions: collective governance in global history

Published online by Cambridge University Press:  14 September 2026

Federica Carugati*
Affiliation:
King’s College London , UK
Riley Wong
Affiliation:
MIT, USA
*
Corresponding author: Federica Carugati; Email: federica.carugati@kcl.ac.uk
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Abstract

The 18th century regime of electoral republicanism within nation-states, later rebranded as ‘democracy’, appears to be threatened around the world. To rebuild democracy on sounder bases, theorists and practitioners alike emphasize the value of inclusive and participatory institutions. But how should these institutions be built? This paper presents the results of a deep dive into the forms that inclusion and participation have taken across history and the globe – we refer to them as ‘collective governance’. We describe the methodology used to explore the cases, what the data look like, and some preliminary findings. These findings put pressure on well-known social scientific assumptions about the possibilities and limits of collective governance and present a more fine-grained picture of the conditions that may sustain robust collective governance institutions at scale.

Information

Type
Research Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2026. Published by Cambridge University Press on behalf of Millennium Economics Ltd
Figure 0

Figure 1. Communities by region.

Figure 1

Figure 2. Timeline of communities in database, with negative years representing BCE and positive years representing CE.

Figure 2

Figure 3. Histogram of communities in the database, grouped by size.

Figure 3

Figure 4. Correlation matrix of statistically significant CGI mechanisms by region.13

Figure 4

Figure 5. Correlation matrix of statistically significant CGI mechanisms by size.