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.
Inhaltsverzeichnis
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.
