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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.
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