Evidence map›Paper›PMID 42871567›Full record

ArticlePNAS nexus2026

Discovery as public infrastructure: Renewing the social contract for science.

Sergio Carbajo, Asad Madni, Julia Powles

Abstract read
In one paragraph

Article in PNAS nexus, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Sergio CarbajoDepartment of Electrical and Computer Engineering, University of California, Los Angeles, CA 90045, USA.ORCID https://orcid.org/0000-0002-5292-4470
Asad MadniDepartment of Electrical and Computer Engineering, University of California, Los Angeles, CA 90045, USA.ORCID https://orcid.org/0000-0001-7620-522X
Julia PowlesInstitute for Technology, Law & Policy, University of California, Los Angeles, CA 90045, USA.ORCID https://orcid.org/0000-0002-3754-5982

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Scientific capacity built over generations is being weakened by abrupt political disruption just as discovery is becoming faster, more convergent, globally networked, and more socially consequential. Restoring funding and protecting scientific institutions are urgent, but not sufficient: the postwar compact that sustained discovery before its uses were known must be renewed for 21st-century conditions and made resilient to arbitrary disruption. We propose the Discovery Compact, a renewed social contract among government, science, industry, and the public that treats discovery as shared public infrastructure-capacity a plural society builds, tends, and holds in common across generations. It is organized around five criteria: (i) sustaining discovery as national infrastructure; (ii) enabling institutions to move at speed without sacrificing rigor; (iii) building scientific capacity through people, openness, and mobility; (iv) translating discovery without depleting its source; and (v) securing democratic legitimacy and institutional resilience. Together, these criteria direct policy toward durable scientific capacity and insulate against indiscriminate deregulation, compulsory commercialization, arbitrary institutional disruption, and political control of scientific judgment. This Perspective is not a legislative template but an invitation to a national and international process of protecting and renewing the institutions and infrastructure through which societies discover, generate, protect, and prepare.

Identifiers

PMID42871567
PMCPMC13659774

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.