Data science and human-environment systems (Record no. 7564)

MARC details
000 -LEADER
fixed length control field 02691nam a22001937a 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20241219192604.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
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020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781108486286
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 658.40301
Item number MAN
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Manson, Steven M
245 ## - TITLE STATEMENT
Title Data science and human-environment systems
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc. Cambridge University Press
Place of publication, distribution, etc. Cambridge
Date of publication, distribution, etc. 2023
300 ## - PHYSICAL DESCRIPTION
Extent xi, 257 p.
365 ## - TRADE PRICE
Price type code GBP
Price amount 105.00
500 ## - GENERAL NOTE
General note Table of content:<br/>1. Data Science and Human-Environment Systems<br/>2. Data Gaps and Potential<br/>3. Big Methods, Big Messes, Big Solutions<br/>4. Theory and the Perils of Black Box Science<br/>5. Policy Dilemmas<br/>6. Ways Forward for the Data Science of Human-Environment Systems<br/>References<br/>Index.<br/>[https://www.cambridge.org/in/universitypress/subjects/earth-and-environmental-science/environmental-science/data-science-and-human-environment-systems?format=HB]
520 ## - SUMMARY, ETC.
Summary, etc. 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.<br/><br/>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<br/>Introduces core concepts in data, social and environmental sciences in an accessible manner<br/>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<br/>(https://www.cambridge.org/in/universitypress/subjects/earth-and-environmental-science/environmental-science/data-science-and-human-environment-systems?format=HB)
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Human ecology--Data processing
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Book
Source of classification or shelving scheme Dewey Decimal Classification
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Bill No Bill Date Home library Current library Shelving location Date acquired Source of acquisition Cost, normal purchase price Total Checkouts Full call number Accession Number Date last seen Copy number Cost, replacement price Price effective from Koha item type
    Dewey Decimal Classification     Human Resource and Organization Behvaiour COR/IN/25/7607 29-11-2024 Indian Institute of Management LRC Indian Institute of Management LRC General Stacks 12/19/2024 CBS Publishers & Distributors Pvt. Ltd. 7889.70   658.40301 MAN 006822 12/19/2024 1 12138.00 12/19/2024 Book

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