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https://doi.org/10.1038/s41597...
Article . 2024 . Peer-reviewed
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https://doaj.org/article/cea38...
Article . 2024
Data sources: DOAJ
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Individual attendance data for over 30 years of international climate change talks

Authors: Daria Blinova; Rakesh Emuru; Benjamin E. Bagozzi;

Individual attendance data for over 30 years of international climate change talks

Abstract

The international community has formally negotiated over climate change since 1991. The annual meetings that host these negotiations have seen an ever-growing number of individuals representing countries, international organizations, or non-governmental organizations. These meetings and their attendees have accordingly become the focal point of international climate change cooperation for both the international community and scholars studying climate change politics. Yet, researchers have been unable to access and analyze comprehensive attendee-level data pertaining to these negotiations in terms of attendees' names, genders, job titles, delegations, divisions, and affiliations. In applying text-as-data techniques to attendance roster PDFs, we extract and build attendee-level datasets for all annual negotiations held under the United Nations Framework Convention on Climate Change and its precursor, 1991-2023. These data include original language and English-translated information on 27,470 unique delegations and 310,200 attendees over a 32-year period. Summaries and validations in turn highlight the promise of our data for the study of attendance patterns and characteristics across delegations and over time.

Country
United States
Related Organizations
Keywords

Data Descriptor, climate-change mitigation, climate action, Science, Q, government, 300

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
Green
hybrid
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