Deutsch
 
Datenschutzhinweis Impressum
  DetailsucheBrowse

Datensatz

 
 
DownloadE-Mail
  Recommendations for producing knowledge syntheses to inform climate change assessments

Ford, J. D., Biesbroek, R., Ford, L. B., Creutzig, F., Haddaway, N., Harper, S., Minx, J. C., New, M., Sietsma, A. J., Zavaleta-Cortijo, C., Callaghan, M. (2025): Recommendations for producing knowledge syntheses to inform climate change assessments. - Nature Climate Change, 15, 698-708.
https://doi.org/10.1038/s41558-025-02354-6

Item is

Dateien

einblenden: Dateien
ausblenden: Dateien
:
s41558-025-02354-6.pdf (Verlagsversion), 2MB
 
Datei-Permalink:
-
Name:
s41558-025-02354-6.pdf
Beschreibung:
-
OA-Status:
Sichtbarkeit:
Privat
MIME-Typ / Prüfsumme:
application/pdf
Technische Metadaten:
Copyright Datum:
-
Copyright Info:
-
Lizenz:
-

Externe Referenzen

einblenden:

Urheber

einblenden:
ausblenden:
 Urheber:
Ford, James D.1, Autor
Biesbroek, Robbert1, Autor
Ford, Lea Berrang1, Autor
Creutzig, Felix2, Autor                 
Haddaway, Neal1, Autor
Harper, Sherilee1, Autor
Minx, Jan C.2, Autor                 
New, Mark1, Autor
Sietsma, Anne J.1, Autor
Zavaleta-Cortijo, Carol1, Autor
Callaghan, Max2, Autor                 
Affiliations:
1External Organizations, ou_persistent22              
2Potsdam Institute for Climate Impact Research, Potsdam, ou_persistent13              

Inhalt

einblenden:
ausblenden:
Schlagwörter: -
 Zusammenfassung: Climate change assessments (CCAs) play a critical role in taking stock of the available science and other forms of knowledge and informing policy processes. As the underlying evidence base increases exponentially, the complexity also increases and challenges CCA author teams to capture all the relevant knowledge. Therefore, CCAs will need to transition from predominantly assessing primary research to focusing on the assessment and critical appraisal of knowledge syntheses of such work, alongside capturing knowledges held outside traditional scientific sources. To support this, a stronger knowledge synthesis culture is needed, and we propose key recommendations and offer guidance for producing robust, transparent, reproducible, inclusive and timely syntheses that can inform CCAs across scales.

Details

einblenden:
ausblenden:
Sprache(n): eng - English
 Datum: 2024-08-072025-05-022025-06-102025-07-01
 Publikationsstatus: Final veröffentlicht
 Seiten: 11
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: DOI: 10.1038/s41558-025-02354-6
PIKDOMAIN: RD5 - Climate Economics and Policy - MCC Berlin
Organisational keyword: RD5 - Climate Economics and Policy - MCC Berlin
Working Group: Evidence for Climate Solutions
Working Group: Cities: Data Science and Sustainable Planning
Model / method: Machine Learning
MDB-ID: No data to archive
 Art des Abschluß: -

Veranstaltung

einblenden:

Entscheidung

einblenden:

Projektinformation

einblenden: ausblenden:
Projektname : GENIE
Grant ID : 951542
Förderprogramm : Horizon 2020 (H2020)
Förderorganisation : European Commission (EC)

Quelle 1

einblenden:
ausblenden:
Titel: Nature Climate Change
Genre der Quelle: Zeitschrift, SCI, Scopus, p3
 Urheber:
Affiliations:
Ort, Verlag, Ausgabe: -
Seiten: - Band / Heft: 15 Artikelnummer: - Start- / Endseite: 698 - 708 Identifikator: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/140414
Publisher: Nature