This book is a collection of reflections by thought leaders at firstmover 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.ampampnbspThis 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.