Data science and human-environment systems

By:

Manson, Steven M

Material type: Text

TextPublication details: Cambridge University Press Cambridge 2023Description: xi, 257 pISBN:

9781108486286

Subject(s):

Human ecology--Data processing

DDC classification:

658.40301 MAN

Summary: 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. 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)

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Item type	Current library	Collection	Call number	Copy number	Status	Date due	Barcode
Book	Indian Institute of Management LRC General Stacks	Human Resource and Organization Behvaiour	658.40301 MAN (Browse shelf(Opens below))	1	Available		006822

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Table 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]

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.

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)

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