Evidence map›Paper›PMID 37073368›Full record

ArticleUrban transformations2023

The networked micro-decision context: a new lens on transformative urban governance.

Le Anh Nguyen Long, Rachel M Krause, Gwen Arnold, Ryan Swanson, S Mohsen Fatemi

Abstract read
In one paragraph

Article in Urban transformations, 2023. 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

5 authors.

Le Anh Nguyen LongDepartment of Public Administration, University of Twente, Enschede, The Netherlands.ORCID 0000-0002-6188-9646
Rachel M KrauseSchool of Public Affairs and Administration, University of Kansas, Lawrence, KS USA.
Gwen ArnoldEnvironmental Science and Policy, University of California, Davis, CA USA.
Ryan SwansonEnvironmental Science and Policy, University of California, Davis, CA USA.
S Mohsen FatemiSchool of Public Affairs and Administration, University of Kansas, Lawrence, KS USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent large-scale societal disruptions, from the COVID-19 pandemic to intensifying wildfires and weather events, reveal the importance of transforming governance systems so they can address complex, transboundary, and rapidly evolving crises. Yet current knowledge of the decision-making dynamics that yield transformative governance remains scant. Studies typically focus on the aggregate outputs of government decisions, while overlooking their micro-level underpinnings. This is a key oversight because drivers of policy change, such as learning or competition, are prosecuted by people rather than organizations. We respond to this knowledge gap by introducing a new analytical lens for understanding policymaking, aimed at uncovering how characteristics of decision-makers and the structure of their relationships affect their likelihood of effectuating transformative policy responses. This perspective emphasizes the need for a more dynamic and relational view on urban governance in the context of transformation.

Indexed as

Decision-makingGovernanceNetworksPolicy learningUrban transformation

Identifiers

PMID37073368
PMCPMC10096112

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.