Evidence map›Paper›PMID 34667374›Full record

ArticleAI & society2022

Speeding up to keep up: exploring the use of AI in the research process.

Jennifer Chubb, Peter Cowling, Darren Reed

Open access · hybridAbstract read
In one paragraph

Article in AI & society, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
21.3field-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

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 188 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. An AI Perspective on Counseling Supervision.Behavioral sciences (Basel, Switzerland) · 2026
    Review
  4. Review
  5. Article
  6. Editorial: Research ethics and integrity in the artificial intelligence era.Frontiers in research metrics and analytics · 2026
    Article
  7. Review
  8. Article
  9. Ten simple rules for navigating AI in science.PLoS computational biology · 2025
    Article
  10. Article
  11. Article
  12. Editorial letter: Artificial Intelligence can be used to improve the humanity of care.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2024
    Article
  13. Review
  14. ChatGPT for digital pathology research.The Lancet. Digital health · 2024
    Review
  15. Article
  16. Review
  17. Article
  18. Harnessing AI for public health: India's roadmap.Frontiers in public health · 2024
    Article
  19. Article
  20. Artificial Intelligence and Public Health: An Exploratory Study.International journal of environmental research and public health · 2023
    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

3 authors at 2 institutions in 1 country.

Jennifer ChubbDepartment of Computer Science, Digital Creativity Labs, University of York, York, United Kingdom.ORCID 0000-0002-9716-820X
Peter CowlingDigital Creativity Labs, Queen Mary University of London, London, United Kingdom.
Darren ReedDepartment of Sociology, Digital Creativity Labs, University of York, York, United Kingdom.ORCID 0000-0001-9018-0145
University of York · GBQueen Mary University of London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is a long history of the science of intelligent machines and its potential to provide scientific insights have been debated since the dawn of AI. In particular, there is renewed interest in the role of AI in research and research policy as an enabler of new methods, processes, management and evaluation which is still relatively under-explored. This empirical paper explores interviews with leading scholars on the potential impact of AI on research practice and culture through deductive, thematic analysis to show the issues affecting academics and universities today. Our interviewees identify positive and negative consequences for research and researchers with respect to

Indexed as

AcademiaArtificial intelligenceFuturesImpactProductivityResearch policyScience

Identifiers

PMID34667374
PMCPMC8516568
OpenAlexW3206896625

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.