Data Science for Social Good [E-Book] : Philanthropy and Social Impact in a Complex World / edited by Massimo Lapucci, Ciro Cattuto.
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 humanitaria...
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Personal Name(s): | Cattuto, Ciro, editor |
Lapucci, Massimo, editor | |
Edition: |
1st edition 2021. |
Imprint: |
Cham :
Springer,
2021
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Physical Description: |
XII, 99 pages 5 illustrations, 3 illustrations in color (online resource) |
Note: |
englisch |
ISBN: |
9783030789855 |
DOI: |
10.1007/978-3-030-78985-5 |
Series Title: |
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SpringerBriefs in Complexity
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Subject (LOC): |
- 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.