Data Science and Human-Environment Systems

Inbunden, Engelska, 2023

1 368 kr

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Beskrivning

Transformation of the Earth's social and ecological systems is occurring at a rate and magnitude unparalleled in human experience. Data science is a revolutionary new way to understand human-environment relationships at the heart of pressing challenges like climate change and sustainable development. However, data science faces serious shortcomings when it comes to human-environment research. There are challenges with social and environmental data, the methods that manipulate and analyze the information, and the theory underlying the data science itself; as well as significant legal, ethical and policy concerns. This timely book offers a comprehensive, balanced, and accessible account of the promise and problems of this work in terms of data, methods, theory, and policy. It demonstrates the need for data scientists to work with human-environment scholars to tackle pressing real-world problems, making it ideal for researchers and graduate students in Earth and environmental science, data science and the environmental social sciences.

Produktinformation

Utgivningsdatum:2023-02-09
Mått:175 x 250 x 21 mm
Vikt:660 g
Format:Inbunden
Språk:Engelska
Antal sidor:278
Förlag:Cambridge University Press
ISBN:9781108486286

Utforska kategorier

Miljövetenskap och miljöpolitik inom Naturvetenskap och teknik
Miljöekonomi inom Ekonomi och Ledarskap
Miljörätt inom Juridik

Mer om författaren

Steven Manson is a Professor in the Department of Geography, Environment and Society at the University of Minnesota, and a Fellow of the Institute on the Environment. He combines environmental, social, and information science to understand complex human-environment systems. He has won awards from organizations including the US National Aeronautics and Space Administration, the University Consortium for Geographic Information Science, and the Ecological Society of America.

Recensioner i media

'Decidedly not yet another 'data science and [fill in the blank] manifesto! This wide-ranging overview is optimistic about the potential, yet realistic about the challenges of the rapidly evolving data landscape facing scholars concerned with human-environment systems.' David O'Sullivan, Victoria University of Wellington

Innehållsförteckning

1. Data Science and Human-Environment Systems; 2. Data Gaps and Potential; 3. Big Methods, Big Messes, Big Solutions; 4. Theory and the Perils of Black Box Science; 5. Policy Dilemmas; 6. Ways Forward for the Data Science of Human-Environment Systems; References; Index.