@article{1440350,
      recid = {1440350},
      author = {Lapucci, Massimo, and Cattuto, Ciro,},
      title = {Data science for social good : philanthropy and social  impact in a complex /},
      pages = {1 online resource},
      abstract = {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},
      url = {http://library.usi.edu/record/1440350},
      doi = {https://doi.org/10.1007/978-3-030-78985-5},
}