ArticleClimatic change2020
Integrating political and technological uncertainty into robust climate policy.
Article in Climatic change, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
As climate change is unlikely to follow a linear path, climate policies should anticipate varied outcomes and be flexibly responsive. The case for such "robust policy" is compelling. However, advocates of robust approaches to policymaking often understate the challenge, as the variability of climate is just one of at least three interactive arenas of uncertainty that require attention. Emerging technologies will have a significant but indeterminate impact on climate adaptation and mitigation efforts. Uncertainty is also heightened because politics is an arena of disruptive change. The development of robust climate policy given the convergence of unknowns in the climatic, technological, and political realms entails three components: (1) diverse, distributed, and transparent participation; (2) safe-to-fail experimentation; and (3) exploratory foresight.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.