Evidence map›Paper›PMID 40548089›Full record

ArticleApplied biosafety : journal of the American Biological Safety Association2025

Dual-Use Research and Publication Policies: A Comparison of Journals in Life Sciences and Artificial Intelligence.

Daniel J Hurst, Christopher A Bobier

Abstract read
In one paragraph

Article in Applied biosafety : journal of the American Biological Safety Association, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

2 authors.

Daniel J HurstDepartment of Family Medicine, Rowan-Virtua School of Osteopathic Medicine, Stratford, New Jersey, USA.ORCID https://orcid.org/0000-0003-0592-2592
Christopher A BobierFoundational Sciences, Central Michigan University College of Medicine, Mount Pleasant, Michigan, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Dual-use research (DUR) describes research with potential benefits that could be misapplied for harm. Policy on DUR is often limited to life sciences research. However, recently, there have been demonstrations of how research with dual-use concerns may extend beyond the life sciences to artificial intelligence (AI). One method of ensuring that research with dual-use concerns is not misapplied for harm is by censoring scientific journal articles. Journals may have policy on managing article submissions with potential DUR concerns. This study compared the policies of life science and AI journals toward DUR. Methods: Google Scholar Metrics and Scimago Journal and Country Rank were utilized to identify and select the top 20 publications in fields of life sciences and AI by specific metrics. The publicly accessible websites of each journal were searched to ascertain their publication policies regarding DUR. Journals and/or publishers were contacted if no policy was located. Results: From Google Scholar, 12/20 journals within the "Life Sciences & Earth Sciences" category had policies on DUR; from Scimago, 9/16 of the "Biochemistry, Genetics, and Molecular Biology" category had policies; and 8/19 of the "Immunology and Microbiology" category had policies. For AI journals, 2/13 journals from Google Scholar had policies; 4/15 journals from Scimago had policies. Conclusion: More journals in the life sciences have extant policies on how to handle article submissions with DUR concerns. Very few AI journals have policies.

Indexed as

biosafetybiosecuritydual-use researchethicspublication ethics

Identifiers

PMID40548089
PMCPMC12179373

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.