國立高雄大學圖資館 |

語系: 繁體中文

說明(常見問題)

圖資館首頁

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Data science for social goodphilanth...

Cattuto, Ciro.

Data science for social goodphilanthropy and social impact in a complex world /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Data science for social goodedited by Massimo Lapucci, Ciro Cattuto.
其他題名:	philanthropy and social impact in a complex world /
其他作者:	Lapucci, Massimo.
出版者:	Cham :Springer International Publishing :2021.
面頁冊數:	xii, 99 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Decision makingStatistical methods.
電子資源:	https://doi.org/10.1007/978-3-030-78985-5
ISBN:	9783030789855$q(electronic bk.)

Data science for social goodphilanthropy and social impact in a complex world /
Data science for social goodphilanthropy and social impact in a complex world /[electronic resource] :edited by Massimo Lapucci, Ciro Cattuto. - Cham :Springer International Publishing :2021. - xii, 99 p. :ill., digital ;24 cm. - SpringerBriefs in complexity,2191-5334. - SpringerBriefs in complexity..

Introduction -- The Value of Data and Data Collaboratives for Good: A Roadmap for Philanthropies to Facilitate Systems Change through Data -- UN Global Pulse: A UN Innovation Initiative with a Multiplier Effect -- Building the Field of Data for Good -- When Philanthropy Meets Data Science: A Framework for Governance to Achieve Data-Driven Decision-Making for Public Good -- Data for Good: Unlocking Privately-Held Data to the Benefit of the Many -- Building a Funding Data Ecosystem: Grantmaking in the UK -- A Reflection on the Role of Data for Health: COVID-19 and Beyond.

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.

ISBN: 9783030789855$q(electronic bk.)

Standard No.: 10.1007/978-3-030-78985-5doiSubjects--Topical Terms:

208497
Decision making
--Statistical methods.

LC Class. No.: HD30.23 / .D37 2021

Dewey Class. No.: 658.403

Data science for social goodphilanthropy and social impact in a complex world /
LDR:02602nmm a2200349 a 4500 001 610810
003 DE-He213
005 20211013164255.0
006 m d
007 cr nn 008maaau
008 220330s2021 sz s 0 eng d
020 $a 9783030789855$q(electronic bk.)
020 $a 9783030789848$q(paper)
024 7 $a 10.1007/978-3-030-78985-5 $2 doi
035 $a 978-3-030-78985-5
040 $a GP $c GP
041 0 $a eng
050 4 $a HD30.23 $b .D37 2021
072 7 $a PHS $2 bicssc
072 7 $a SCI055000 $2 bisacsh
072 7 $a PHS $2 thema
072 7 $a PHDT $2 thema
082 0 4 $a 658.403 $2 23
090 $a HD30.23 $b .D232 2021
245 0 0 $a Data science for social good $h [electronic resource] : $b philanthropy and social impact in a complex world / $c edited by Massimo Lapucci, Ciro Cattuto.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2021.
300 $a xii, 99 p. : $b ill., digital ; $c 24 cm.
490 1 $a SpringerBriefs in complexity, $x 2191-5334
505 0 $a Introduction -- The Value of Data and Data Collaboratives for Good: A Roadmap for Philanthropies to Facilitate Systems Change through Data -- UN Global Pulse: A UN Innovation Initiative with a Multiplier Effect -- Building the Field of Data for Good -- When Philanthropy Meets Data Science: A Framework for Governance to Achieve Data-Driven Decision-Making for Public Good -- Data for Good: Unlocking Privately-Held Data to the Benefit of the Many -- Building a Funding Data Ecosystem: Grantmaking in the UK -- A Reflection on the Role of Data for Health: COVID-19 and Beyond.
520 $a 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 0 $a Decision making $x Statistical methods. $3 208497
650 0 $a Social service $x Statistical methods. $3 377588
650 0 $a Social service $x Data processing. $3 724626
650 1 4 $a Complex Systems. $3 558544
650 2 4 $a Data Structures and Information Theory. $3 825714
650 2 4 $a Artificial Intelligence. $3 212515
650 2 4 $a Public Health. $3 320661
700 1 $a Lapucci, Massimo. $3 909019
700 1 $a Cattuto, Ciro. $3 909020
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a SpringerBriefs in complexity. $3 557824
856 4 0 $u https://doi.org/10.1007/978-3-030-78985-5
950 $a Physics and Astronomy (SpringerNature-11651)