ArticleScience progress
The special collection for sustainable development and climate governance in the age of digital intelligence.
Article in Science progress. 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
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Amid severe challenges to global sustainable development, digital technology has emerged as a transformative force, providing innovative paradigms for climate governance and green transformation. Yet, the speed and depth of this transformation remain uneven across regions and sectors. This special collection focuses on the digital intelligence era, systematically exploring the crucial role of digital tools in enhancing environmental monitoring's accuracy, optimizing resource allocation's efficiency, and reducing green finance' cost. It further interrogates how these tools interact with institutional, behavioral, and geopolitical variables that condition their effectiveness. It also dissects digital tools' intrinsic mechanisms and synergistic effects in promoting the sustainable development of enterprises, industries, and regions, highlighting how data-driven approaches can bridge scale gaps and foster multi-level sustainability transitions. This special collection features eight papers providing crucial theoretical support and practical paths for building an intelligent, systematic, and fair global climate governance system. By integrating empirical findings with forward-looking perspectives, this body of work aims to inform policy, guide corporate strategy, and inspire further innovation in the pursuit of a digitally empowered sustainable future.
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.