Data Science for Social Good: Harnessing AI and Data Science for Public Health, Good Governance, and Environmental Sustainability

Data Science and Artificial Intelligence (AI) are increasingly recognized not only as drivers of economic growth and business innovation but also as powerful instruments for addressing societal challenges. Governments, non-governmental organizations, researchers, and international development agencies now leverage data-driven technologies to improve public health systems, strengthen governance mechanisms, and promote environmental sustainability. By transforming large volumes of data into actionable knowledge, AI-enabled systems support evidence-based policymaking, optimize resource allocation, and contribute to sustainable development goals (SDGs). This article explores the growing role of Data Science for Social Good, examining how AI and analytics are being applied to healthcare, governance, disaster management, climate resilience, and environmental protection. The discussion highlights technological foundations, leadership implications, global and local case studies, future opportunities, and emerging challenges. It argues that responsible and inclusive use of data science can contribute significantly to building equitable, resilient, and sustainable societies.