000			02691nam a22001937a 4500
005			20241219192604.0
008			241218b |||||||| |||| 00| 0 eng d
020			_a9781108486286
082			_a658.40301 _bMAN
100			_aManson, Steven M _919791
245			_aData science and human-environment systems
260			_bCambridge University Press _aCambridge _c2023
300			_axi, 257 p.
365			_aGBP _b105.00
500			_aTable of content: 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. [https://www.cambridge.org/in/universitypress/subjects/earth-and-environmental-science/environmental-science/data-science-and-human-environment-systems?format=HB]
520			_aTransformation 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. Provides the first comprehensive examination of data science and human-environment systems including current and compelling examples of the strengths and weaknesses of existing work Introduces core concepts in data, social and environmental sciences in an accessible manner Describes useful ways forward for interdisciplinary efforts around data science and human-environment systems, giving researchers a roadmap and the tools to improve their research and conduct interdisciplinary collaborations (https://www.cambridge.org/in/universitypress/subjects/earth-and-environmental-science/environmental-science/data-science-and-human-environment-systems?format=HB)
650			_aHuman ecology--Data processing _919792
942			_cBK _2ddc
999			_c7564 _d7564