Data science for social good : philanthropy and social impact in a complex (Record no. 30605)

000 -LEADER
fixed length control field a
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 220106b xxu||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783030789848
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 658.403
Item number LAP
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Lapucci, Massimo ed.
245 ## - TITLE STATEMENT
Title Data science for social good : philanthropy and social impact in a complex
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc Springer,
Date of publication, distribution, etc 2021
Place of publication, distribution, etc Cham :
300 ## - PHYSICAL DESCRIPTION
Extent xii, 99 p. ;
Other physical details ill. (some color),
Dimensions 24 cm
365 ## - TRADE PRICE
Price amount 54.99
Price type code EUR
Unit of pricing 88.70
490 ## - SERIES STATEMENT
Series statement SpringerBriefs in complexity,
Volume number/sequential designation 2191-5334
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes bibliographical references.
520 ## - SUMMARY, ETC.
Summary, etc This book is a collection of reflections by thought leaders at first-mover organizations in the exploding field of "Data Science for Social Good", meant as the application of knowledge from computer science, complex systems and computational social science to challenges such as humanitarian response, public health, sustainable development. The book provides both an overview of scientific approaches to social impact identifying a social need, targeting an intervention, measuring impact and the complementary perspective of funders and philanthropies that are pushing forward this new sector. This book will appeal to students and researchers in the rapidly growing field of data science for social impact, to data scientists at companies whose data could be used to generate more public value, and to decision makers at nonprofits, foundations, and agencies that are designing their own agenda around data.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Decision making Statistical methods
Topical term or geographic name as entry element Social service Statistical methods
Topical term or geographic name as entry element Social service Data processing
Topical term or geographic name as entry element Complex Systems
Topical term or geographic name as entry element Data Structures and Information Theory
Topical term or geographic name as entry element Public Health
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Cattuto, Ciro
Relator term ed.
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Item type Books
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Permanent location Current location Date acquired Cost, normal purchase price Total Checkouts Full call number Barcode Date last seen Date last borrowed Koha item type
          DAIICT DAIICT 2022-01-05 4877.61 1 658.403 LAP 032766 2022-05-09 2022-03-09 Books

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