Data-driven hope for the planet

Journal

Science (New York, N.Y.)

ISSN: 1095-9203

Titre abrégé: Science

Pays: United States

ID NLM: 0404511

Informations de publication

Date de publication:
05 Jan 2024

Historique:

medline: 4 1 2024

pubmed: 4 1 2024

entrez: 4 1 2024

Statut: ppublish

Résumé

A data scientist offers an optimistic reality check for the Anthropocene.

Identifiants

DOI: 10.1126/science.adl5466 PMID: 38175902

pubmed: 38175902

doi: 10.1126/science.adl5466

doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

37

Auteurs

Erle C Ellis (EC)

The reviewer is at the Department of Geography and Environmental Systems, University of Maryland, Baltimore County, Baltimore, MD 21250, USA, and is a visiting fellow at the Oxford Martin School, University of Oxford, Oxford OX1 3BD, UK.