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Environmental Data Science

CUP - Cambridge University Press (United Kingdom)

Environmental Data Science is an open access journal dedicated to the use of data-driven approaches to understand environmental processes - including climate change - and aid sustainable decision-making. The data and

Environmental Data Science is an open access journal dedicated to the use of data-driven approaches to understand environmental processes - including climate change - and aid sustainable decision-making. The data and methodological scope is defined broadly to encompass artificial intelligence, machine learning, data mining, computer vision, econometrics and other statistical techniques.

EDS is a venue for application and methods papers, whether they relate to the geosphere (the solid earth and its processes), cryosphere (e.g. ice, snow, permafrost and tundra), biosphere (ecology), hydrosphere (oceans and fresh water, including the water cycle) or atmosphere (e.g. meteorology, climatology). It also welcomes work that shows how data science can inform societal responses to environmental problems (such as climate change, air quality, energy, natural resources and land use).

EDS promotes open data and data re-use - through data papers that describe valuable environmental data sets - and publishes shorter position papers relevant to the journal’s scope.

Sciences and societies, ethics
Environment, sustainability: multidiscip.
Climate and environmental change
Open access
Self-archiving
Publication languages
  • English
Journal reputation
  • No information available
Other titles
EDS
ISSN L
2634-4602
Frequency
Continual
Article types
Reviews
Technical articles
Data papers
Opinions
Policy papers
Publishing costs
Yes
Total publishing costs
2930 $. Pour les Ciradiens, aucun coût à payer suite à un accord national pour la période 2023-2025 (https://intranet-dist.cirad.fr/publier/choisir-la-revue/accords-cirad-editeurs) (updated 01/07/2024)
Research data access policy
Deposit compulsory
Last updated : 04/07/2024

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