Evidence map›Paper›PMID 34001598›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2021

Quantifying collective intelligence in human groups.

Christoph Riedl, Young Ji Kim, Pranav Gupta, Thomas W Malone, Anita Williams Woolley

Erratum issuedOpen access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
16.2field-weighted citation impact, top 1% of its field
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

30 citing papers in PubMed, 155 citations in OpenAlex.

  1. Socially Minded Intelligence: How Individuals, Groups, and Artificial Intelligence Can Make Each Other Smarter (or Not).Personality and social psychology review : an official journal of the Society for Personality and Social Psychology, Inc · 2026
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  9. Removing masculine defaults in the hiring process.Proceedings of the National Academy of Sciences of the United States of America · 2025
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  15. Building Up a Biomedical Research Workforce Trial.Journal of clinical and translational science · 2025
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 4 institutions in 1 country.

Christoph RiedlD'Amore-McKim School of Business, Northeastern University, Boston, MA 02115; c.riedl@neu.edu.ORCID 0000-0002-3807-6364
Young Ji KimDepartment of Communication, University of California, Santa Barbara, CA 93106.ORCID 0000-0002-5769-3771
Pranav GuptaTepper School of Business, Carnegie Mellon University, Pittsburgh, PA 15213.ORCID 0000-0003-2640-1390
Thomas W MaloneMassachusetts Institute of Technology Sloan School of Management, Massachusetts Institute of Technology, Cambridge, MA 02142.ORCID 0000-0002-7005-1482
Anita Williams WoolleyTepper School of Business, Carnegie Mellon University, Pittsburgh, PA 15213.
Carnegie Mellon University · USMassachusetts Institute of Technology · USNortheastern University · USUniversity of California, Santa Barbara · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Collective intelligence (CI) is critical to solving many scientific, business, and other problems, but groups often fail to achieve it. Here, we analyze data on group performance from 22 studies, including 5,279 individuals in 1,356 groups. Our results support the conclusion that a robust CI factor characterizes a group's ability to work together across a diverse set of tasks. We further show that CI is predicted by the proportion of women in the group, mediated by average social perceptiveness of group members, and that it predicts performance on various out-of-sample criterion tasks. We also find that, overall, group collaboration process is more important in predicting CI than the skill of individual members.

Indexed as

Mass GatheringsAdolescentAdultAgedFemaleGroup ProcessesHumansIntelligenceMaleMiddle AgedSocial PerceptionUnited StatesYoung Adultcollective intelligencehuman groupsteam performance

Identifiers

PMID34001598
PMCPMC8166150
OpenAlexW3163271954

What OpenQuestion holds

Textmetadata
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.