Data for Social Impact: A Revolution in Addressing Society’s Greatest Challenges Authors: Michael Froomkin and Rajiv Shah This article explores how data science is emerging as a transformative force in addressing some of the most complex social and economic challenges of our time. Just as scientific breakthroughs revolutionized medicine and agriculture in the last century, data science now holds the potential to drive sweeping change in areas such as public health, social justice, poverty reduction, climate action, and inclusive economic growth. The authors highlight that, when used responsibly and effectively, data can provide practical, scalable solutions to long-standing global issues. They envision a future in which analytics and artificial intelligence inform public policy, improve social services, predict risks, and optimize the allocation of resources. While the private sector has made significant strides in leveraging data, many public and social institutions still lack the technical and strategic capacity to fully realize its potential. The article underscores the need for cross-sector collaboration, investment in both human and technological capital, and the adoption of evidence-based, participatory approaches. It concludes with a powerful call for sustained collective investment in digital knowledge infrastructure, which is essential to advancing justice, equity, and shared prosperity on a global scale. |