Advances in technology and data science are transforming economies—enabling smarter solutions, fueling innovation, and driving sustainable growth.
For many, digital tools are transforming opportunities in work, education, and entrepreneurship. Yet challenges such as the digital divide, ethical risks, and inadequate data infrastructure remain. At CID, our research in technology and data science explores how artificial intelligence, machine learning, data analytics, and digital platforms can be harnessed to solve real-world development challenges.
Faculty affiliates from across Harvard investigate how technology can enhance decision-making, empower communities, and scale impact. From analyzing the role of big data and automation to studying how innovation fuels inclusive progress, CID researchers are generating insights to guide data-driven, equitable development.
Harvard CID Faculty Affiliates Advancing Research on Technology & Data Science
Alberto Cavallo
Thomas S. Murphy Professor of Business Administration, Harvard Business School
Francesca Dominici
Clarence James Gamble Professor of Biostatistics, Population, and Data Science, Harvard T.H. Chan School of Public Health
Milind Tambe
Gordon McKay Professor of Computer Science; Director of Center for Research on Computation and Society at Harvard University, Harvard John A. Paulson School of Engineering and Applied Sciences
Joshua R. Schwartzstein
Cahners-Rabb Professor of Business Administration, Harvard Business School
David Yang
Yvonne P. L. Lui Professor of Economics, Harvard Faculty of Arts and Sciences
Sachit Balsari
Associate Professor in the Department of Global Health and Population, Harvard Medical School
CID Faculty Affiliates
Discover the other Harvard CID faculty driving cutting-edge research in technology and data science.
CID Faculty Research Insights
Explore Harvard faculty research on development topics, distilled into actionable takeaways for policymakers, practitioners, and researchers.
CID Faculty Publications
Read the latest research from CID faculty affiliates on technology and data science, exploring areas such as artificial intelligence, machine learning, data analytics, innovation, and digital transformation. These publications provide evidence-based insights to advance decision-making, solve complex problems, and promote inclusive technological growth.
Explore More Publications
Explore research from CID faculty affiliates on how technology and data science innovations drive problem-solving, informed decisions, and economic growth.
