Gabriel Unger is an economics PhD student at Harvard. He jointly completed a JD at Yale Law School, and completed his undergraduate education at Harvard. His main field of is macroeconomics. His research broadly attempts to understand how technological changes, like the IT Revolution, change our understanding of important macroeconomic questions, like the mechanics of productivity growth, the rise of industrial concentration, or the transformation of the business cycle.
Luca’s scientific work deals with understanding the effect of AI adoption in organizations. His research centers around three areas. Firstly, he studies algorithmic navigation guidance in human-in-the-loop decision-making systems, delving into the interplay between algorithmic outcomes and human cognitive mechanisms. Secondly, he explores the dynamics of AI diffusion within organizations. Thirdly, he investigates AI’s innovation and design process and the creative work of data scientists. His work has appeared in scientific journals such as the Journal of Product Innovation Management. He was awarded the 2020 Albert Page Award for Outstanding Professional Contribution for the publication “Innovation and Design in the Age of Artificial Intelligence.”
He is interested in technology, innovation, productivity, and the workforce. His prior work experience includes program evaluation and R&D project management in federal government at the National Institute of Standards and Technology, and in public-private partnership programs for early-stage R&D, where he interacted with both start-ups and large corporate R&D centers.
Andrew received a BA in history and economics from the University of California, Berkeley, and a PhD in economics from Harvard University.
Wajeeha is a PhD student at the Management Science and Engineering department at Stanford interested in examining the role of digital platforms in enabling entrepreneurship and creating shared prosperity. Before coming to Stanford, she received a BS in Mathematics and an MS in Technology and Policy from MIT.
In addition to being a visiting student researcher at the Lab, Rebecca Janßen is a researcher in the Digital Economy Department at ZEW Mannheim and a PhD student at the University of Zurich. Her work focuses on digital platforms, digital health, and the consequences of AI.
Saurabh is a PhD candidate in education policy and a William R. and Sara Hart Kimball Fellow at Stanford. He studies social, economic, and information networks in the context of developing nations. Working around knowledge graphs and fairness of knowledge access on the internet, Saurabh is building an open-source web platform that dynamically evaluates biases in internet search results.
Previously, he worked as a research assistant in the Empirical Economics group at Microsoft Research’s New England lab.
Alex also worked for two years as an economic analyst for Wells Fargo Securities after completing his undergraduate degree in economics and business administration from the University of North Carolina at Chapel Hill.
Zanele graduated from Duke University in 2015, where she was a Reginaldo Howard Memorial Scholar, with a B.S. in computer science. She has also studied at the University of Delaware, University College London, and Stanford University.
Her previous engineering roles include computer networking research, Android and iOS development, natural language processing research, and data mining and analysis.
Her research interests include economics of innovation, the digital economy, and applications of machine learning in economics.
Divya Siddarth is the co-founder of the Collective Intelligence Project, an experimental research organization that advances collective intelligence capabilities for the democratic and effective governance of transformative technologies. She was formerly associate political economist and social technologist at Microsoft, and also holds positions as the Ethics in AI Institute in Oxford and at the Plurality Lab at Harvard’s Safra Center for Ethics.