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.
Company Details
- Founded
- -
- Address
- Cambridge, Gb
- Industry
- Book And Periodical Publishing
- NAICS
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Publishing Industries (except Internet)Newspaper, Periodical, Book, and Directory PublishersDirectory and Mailing List PublishersOther PublishersGreeting Card PublishersAll Other Publishers
- Keywords
- Santa Barbara.
- HQ
- Cambridge
- Competitors
- ACM SIGKDD & Annual KDD Conference, National Center for Ecological Analysis and Synthesis (NCEAS), Environmental Essentials, ESIIL (Environmental Data Science Innovation and Impact Lab), Centre for AI & Climate, Climate Change AI, Alberta Biodiversity Monitoring Institute, Environmental Data Science at Yale, Long Term Ecological Research Network, ClimateAi.
Environmental Data Science Questions
Environmental Data Science's website is https://www.cambridge.org/core/journals/environmental-data-science
Environmental Data Science's LinkedIn profile is https://uk.linkedin.com/company/environmental-data-science
Environmental Data Science's industry is
Book and Periodical Publishing
Environmental Data Science's top competitors are
Acm Sigkdd & Annual Kdd Conference,
National Center For Ecological Analysis And Synthesis (Nceas),
Environmental Essentials,
Esiil (Environmental Data Science Innovation And Impact Lab),
Centre For Ai & Climate,
Climate Change Ai,
Alberta Biodiversity Monitoring Institute,
Environmental Data Science At Yale,
Long Term Ecological Research Network,
Climateai.
Environmental Data Science's categories are Book and Periodical Publishing
Environmental Data Science's founding year is 2022
