Deborah McCarthy, eds. 2005. Foundations for Social Change: Critical Perspectives on Philanthropy and Popular Movements

This book, "Data Science for Social Good: Philanthropy and Social Impact in a Complex World," explores the application of data science methodologies to address complex social challenges and enhance philanthropic initiatives. It likely covers how data analysis, machine learning, and other data-driven approaches can be leveraged to optimize social impact, improve decision-making in philanthropy, and develop more effective solutions for societal problems. The publication delves into the potential of data science to foster innovation and create scalable, sustainable interventions in the social sector.