Evidence map›Paper›PMID 42179736›Full record

ArticleSynthetic and systems biotechnology2026

Functions and optimization of soft law in the international governance of synthetic biology: The predicament of hard law vs. the rise of soft law.

Yu Qin, Jiaxiang Hu, Kezhen Su

Abstract read
In one paragraph

Article in Synthetic and systems biotechnology, 2026. 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. Review
  2. Review
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.

Yu QinKoGuan School of Law, Shanghai Jiao Tong University, Shanghai, 200030, China.
Jiaxiang HuKoGuan School of Law, Shanghai Jiao Tong University, Shanghai, 200030, China.
Kezhen SuSchool of Law, Fuzhou University, Fuzhou, Fujian, 350108, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Synthetic biology, as an emerging field that integrates life sciences and engineering technology, is driving profound transformations in global science, ethics, and legal systems. In international legal framework, the Biological Weapons Convention (BWC) and the Convention on Biological Diversity (CBD) have established initial hard law governance systems. However, these frameworks still face structural limitations in terms of technical adaptability, the scope of provisions, and institutional coordination. Soft law, with its flexibility, non-binding nature, and ability to build consensus, is increasingly becoming an essential supplement to the international response to the ethical risks of synthetic biology. International organizations, industry alliances, and non-governmental actors are constructing a multi-layered soft law governance network through ethical guidelines, policy recommendations, and codes of conduct, providing institutional support for risk identification, technology classification, and behavioral guidance. Soft law is well-suited to perform the roles of guiding and providing feedback in governance, while hard law should focus on the construction of systems of rights and responsibilities and the establishment of obligations. There is a collaborative governance model that integrates both soft and hard law. This model, characterized by "soft law guidance, hard law consolidation, and soft law feedback," aims to create a flexible and enforceable governance framework. This approach ensures that soft law provides a timely and adaptive starting point, hard law offers a uniform and accountable foundation, and a feedback loop allows for continuous adjustment based on practical experience.

Indexed as

Collaborative governanceHard lawInternational governanceSoft lawSynthetic biology

Identifiers

PMID42179736
PMCPMC13198323

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.