Data Science and Human-Environment Systems
Seiten
2023
Cambridge University Press (Verlag)
978-1-108-48628-6 (ISBN)
Cambridge University Press (Verlag)
978-1-108-48628-6 (ISBN)
Data science is a revolutionary new way to understand human-environment relationships at the heart of pressing challenges like climate change and sustainable development. 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.
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.
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.
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.
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.
| Erscheinungsdatum | 30.01.2023 |
|---|---|
| Zusatzinfo | Worked examples or Exercises |
| Verlagsort | Cambridge |
| Sprache | englisch |
| Maße | 175 x 250 mm |
| Gewicht | 660 g |
| Themenwelt | Recht / Steuern ► EU / Internationales Recht |
| Recht / Steuern ► Öffentliches Recht ► Umweltrecht | |
| Technik ► Umwelttechnik / Biotechnologie | |
| Wirtschaft ► Volkswirtschaftslehre | |
| ISBN-10 | 1-108-48628-2 / 1108486282 |
| ISBN-13 | 978-1-108-48628-6 / 9781108486286 |
| Zustand | Neuware |
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