Evidence map›Paper›PMID 37155901›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2023

Evolutionary dynamics within and among competing groups.

Daniel B Cooney, Simon A Levin, Yoichiro Mori, Joshua B Plotkin

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Coevolution of Codependent Hosts and Symbionts.bioRxiv : the preprint server for biology · 2026
    Article
  2. Review
  3. Article
  4. Article
  5. Collective artificial intelligence and evolutionary dynamics.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  6. Article
  7. The key role of cheaters in the persistence of cooperation.bioRxiv : the preprint server for biology · 2024
    Article
  8. Article
  9. Article
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

4 authors.

Daniel B CooneyDepartment of Mathematics, University of Pennsylvania, Philadelphia, PA 19104.ORCID 0000-0001-8643-0893
Simon A LevinDepartment of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ 08544.ORCID 0000-0002-8216-5639
Yoichiro MoriDepartment of Mathematics, University of Pennsylvania, Philadelphia, PA 19104.
Joshua B PlotkinDepartment of Mathematics, University of Pennsylvania, Philadelphia, PA 19104.ORCID 0000-0003-2349-6304

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biological and social systems are structured at multiple scales, and the incentives of individuals who interact in a group may diverge from the collective incentive of the group as a whole. Mechanisms to resolve this tension are responsible for profound transitions in evolutionary history, including the origin of cellular life, multicellular life, and even societies. Here, we synthesize a growing literature that extends evolutionary game theory to describe multilevel evolutionary dynamics, using nested birth-death processes and partial differential equations to model natural selection acting on competition within and among groups of individuals. We analyze how mechanisms known to promote cooperation within a single group-including assortment, reciprocity, and population structure-alter evolutionary outcomes in the presence of competition among groups. We find that population structures most conducive to cooperation in multiscale systems can differ from those most conducive within a single group. Likewise, for competitive interactions with a continuous range of strategies we find that among-group selection may fail to produce socially optimal outcomes, but it can nonetheless produce second-best solutions that balance individual incentives to defect with the collective incentives for cooperation. We conclude by describing the broad applicability of multiscale evolutionary models to problems ranging from the production of diffusible metabolites in microbes to the management of common-pool resources in human societies.

Indexed as

Biological EvolutionCooperative BehaviorGame TheoryHumansSelection, Geneticcooperationmultilevel selectionPDE modelingsocial dilemma

Identifiers

PMID37155901
PMCPMC10193939

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Registered trials

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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.