Evidence map›Paper›PMID 40895722›Full record

ArticleFrontiers in bioengineering and biotechnology2025

Mapping variation in dual use risk assessments of synthetic biology projects.

Daniel Greene, Tessa Alexanian, Megan J Palmer

Abstract read
In one paragraph

Article in Frontiers in bioengineering and biotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Daniel GreeneCenter for International Security and Cooperation, Stanford University, Stanford, CA, United States.
Tessa AlexanianiGEM Foundation, Paris, France.
Megan J PalmerCenter for International Security and Cooperation, Stanford University, Stanford, CA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: When a life science project is identified as potential dual use research of concern (DURC), United States government policy and biorisk management professionals recommend conducting a risk assessment of the project and using its results to choose strategies to manage any associated risks. However, there is little empirical research on how real-world projects score on DURC assessments, the extent to which reviewers agree or disagree about risks for a given project, or how risk judgments map to recommended risk management strategies. By studying the process of DURC risk assessment, it may be possible to develop methods that are more consistent, accurate, and cost-effective. Methods: Using a modified version of the framework in the Companion Guide to the United States Government Policies for Oversight of Life Sciences Dual Use Research of Concern, we elicited detailed reviews from 18 experienced DURC reviewers and 49 synthetic biology students of the risks, benefits, and recommended risk management strategies for four real-world synthetic biology projects. Results: We found significant variation among experts, as well as between experts and students, in both perceived DURC risk and recommended risk management strategies. For some projects, expert risk assessments spanned 4 out of 5 possible ratings. We found substantial disagreement between participants about the appropriate actions to take to manage the DURC risks of each project. Discussion: The observed variation in participants' judgments suggests that decisions for similar projects may vary significantly across institutions, exposing the public to inconsistent standards of risk management. We provide several research-based suggestions to reduce reviewer disagreement and manage risk more efficiently when reviewers disagree.

Indexed as

biosafetybiosecuritybiotechnologydual use research of concern (DURC)risk assessmentsynthetic biology

Identifiers

PMID40895722
PMCPMC12392780

What OpenQuestion holds

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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.