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Verlag: Emphaloz Publishing House, 2021
ISBN 10: 8162196749 ISBN 13: 9788162196748
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Sprache: Englisch
Verlag: Springer International Publishing, 2021
ISBN 10: 3030789845 ISBN 13: 9783030789848
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.
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Taschenbuch. Zustand: Neu. Data Science for Social Good | Philanthropy and Social Impact in a Complex World | Massimo Lapucci (u. a.) | Taschenbuch | SpringerBriefs in Complexity | xii | Englisch | 2021 | Springer | EAN 9783030789848 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Sprache: Englisch
Verlag: Emphaloz Publishing House, 2021
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Sprache: Englisch
Verlag: Emphaloz Publishing House, 2021
ISBN 10: 8162196749 ISBN 13: 9788162196748
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Buch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In a world increasingly shaped by data, Data Science for Social Good offers a powerful reimagining of what technology can and should do for humanity. At a time when algorithms influence nearly every aspect of our lives, this book asks the critical question: Who benefits, and who gets left behind Rather than showcasing flashy tools or complex models, this book centers on values empathy, equity, and justice. It challenges the reader to move beyond technical mastery toward purposeful impact, revealing how data can be used not just to predict trends, but to solve urgent social problems, uplift underserved communities, and inform policy decisions that prioritize human dignity over profit.Through global stories, lived experiences, and grounded reflections, Data Science for Social Good bridges the gap between raw analytics and real-world change. It equips data professionals, nonprofit leaders, policymakers, and curious students with the insight and frameworks to design solutions that empower rather than exploit.This is not a book about data for data's sake. It is a guide for anyone who believes that data should serve people not the other way around. If you're ready to use data not just to analyze the world, but to improve it, this book is your starting point.
Sprache: Englisch
Verlag: Springer International Publishing Okt 2021, 2021
ISBN 10: 3030789845 ISBN 13: 9783030789848
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 112 pp. Englisch.
Sprache: Englisch
Verlag: Emphaloz Publishing House, 2021
ISBN 10: 8162196749 ISBN 13: 9788162196748
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Buch. Zustand: Neu. Data Science For Social Good | Sylvanus Ogbeide | Buch | Englisch | 2021 | Emphaloz Publishing House | EAN 9788162196748 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
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Sprache: Englisch
Verlag: Springer, Berlin|Springer International Publishing|Springer, 2021
ISBN 10: 3030789845 ISBN 13: 9783030789848
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In den WarenkorbZustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 .
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Sprache: Englisch
Verlag: Springer, Springer Okt 2021, 2021
ISBN 10: 3030789845 ISBN 13: 9783030789848
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 112 pp. Englisch.