He is currently studying the regulation of digital platforms and the relationship between big data and market competition. His research also focuses on how the adoption of robots and information technologies affect labor markets and firms’ market returns.
Georgios is also a post-doctoral researcher at MIT Initiative on the Digital Economy and a research fellow at Bruegel, an economics think tank based in Brussels.
He holds a bachelor degree in physics, master’s degrees in mathematical economics and econometrics, and a PhD degree in economics.
His research focuses on applying modern ML and data science algorithms to identify unique and interesting structures in data from online and offline environments, to improve consumer experience and business performance. In particular, Shachar’s research seeks to understand and quantify how the vast quantities of data generated through online and offline activities, including posts in online social networks, user-generated content, online search logs and transaction records, can be used to better understand consumption decisions, enhance predictive models aimed at supporting decision-making processes, and optimize business strategies to improve business productivity and efficiency.
His prior research has been published in Journal of Marketing Research, Operations Research, MISQ, Management Science, and Proceedings of ICIS. He received his Ph.D. from Tel Aviv University School of Management and was a Post-Doctoral Associate at MIT Sloan School. He holds B.Sc. and M.Sc. degrees in industrial engineering from Ben-Gurion University.
He is also a postdoctoral researcher at the MIT Initiative on the Digital Economy.
Daniel’s research focuses on the impact that technology has on workers, firms, markets, and the economy. His work demonstrates how new digital technologies and intangible assets are an increasingly important component of economic activity.
In this environment, investment in data assets, machine learning and artificial intelligence, and technological human capital are critical margins for firm competition and social change. Further, as the set of tasks which can be done by different technologies expands, workers are faced with uncertain decisions about which skills to acquire. In his research, Rock measures and explains how these trends are evolving.
Daniel has collaborated with the LinkedIn Economic Graph Research team, as well as a major U.S. Stock Exchange to measure the effects of new data products on market performance.
Sebastian Steffen is an assistant professor in the Business Analytics Department at the Carroll School of Management at Boston College. His research interests include information technologies, technological change, and the future of work and human capital. He received a Ph.D. in management from the MIT Sloan School of Management and a B.A. in economics from Princeton University.
Sebastian’s Google Scholar profile
Laura D’Andrea Tyson is an influential scholar of economics and public policy and an expert on trade and competitiveness who has also served as a presidential adviser.
She is a distinguished professor of the Graduate School at the Haas School of Business, University of California, Berkeley. She also chairs the board of trustees at UC Berkeley’s Blum Center for Developing Economies, which aims to develop solutions to global poverty. She is the former faculty director of the Berkeley Haas Institute for Business and Social Impact, which she launched in 2013. She served as interim dean of the Haas School from July to December 2018, and served previously as dean from 1998 to 2001.
He conducts research on information economics, covering such topics as communications markets, the economics of networks, intellectual property, social effects of technology, and productivity effects of information. As co-developer of the concept of “two-sided networks,” Marshall has been a major contributor to the theory of network effects, a set of ideas now taught worldwide. His co-authored article on the subject is a Harvard Business Review top 50 of all time.
Awards include two patents, National Science Foundation IOC, SGER, SBIR, iCorp and Career Awards, and eight best paper awards. His articles and commentary have appeared in Science, Nature, Management Science, Harvard Business Review, The New York Times, and The Wall Street Journal.
His other interests include public policy, industrial organization, macroeconomics, and the economics of science and engineering.
Prior to earning his PhD, Xiupeng earned a Master of Science in physics from New Jersey Institute of Technology.
He retired from IBM in May of 2007 after a 37-year career with the company, where his primary focus was on innovation and technical strategy. He led a number of IBM’s companywide initiatives including the Internet, Supercomputing, and Linux. He’s been Adviser on Digital Strategy and Innovation at Citigroup, at HBO, and at MasterCard; adjunct professor at the Imperial College Business School; and a guest columnist at the Wall Street Journal’s CIO Journal.
Dr. Wladawsky-Berger was co-chair of the President’s Information Technology Advisory Committee, and a founding member of the Computer Sciences and Telecommunications Board of the National Research Council. He is a fellow of the American Academy of Arts and Sciences. A native of Cuba, he was named the 2001 Hispanic Engineer of the Year. Dr. Wladawsky-Berger received an M.S. and a Ph. D. in physics from the University of Chicago.
Since 2005, Irving has been writing a weekly blog, irvingwb.com.
Her research examines how emerging information technologies, such as artificial intelligence and analytics, affect innovation, business strategy, and productivity. Specifically, her work follows three streams. In the first stream, she examines how data analytics and artificial intelligence affect firm innovation, business strategy, labor demand, and productivity for both large firms and startups. In her second stream, she studies how enterprise social media and online platforms affect work performance, career trajectories, entrepreneurship success, and the formation of new type of biases that arise from using technologies. In her third stream of research, Lynn leverages fine-grained nanodata available through online digital traces to predict economic indicators such as real estate trends, labor trends and product adoption.
Lynn has published articles in economics, management and computer science. Her work has been widely covered by media outlets, including, NPR, the Wall Street Journal, Businessweek, New York Times, Forbes, and The Economist. She has won numerous awards such as Early Career awards from INFORMS and AIS, best paper awards from Information System Research, AIS, ICIS, HICSS, CHITA, and Kauffman. She has also won the Dean’s teaching award.
Lynn received her undergraduate degrees from MIT (Finance and Computer Science), her master’s degree from MIT (Computer Science) and her Ph.D. from MIT Sloan School of Management (Management Science). Lynn has experiences working with a variety of firms in the technology industry (e.g. IBM, SAP, Google, Facebook etc), government agencies and think tanks (e.g the World Bank, the Russel Sage Foundation). She has also consulted and advised several startups. Prior to academia, she was a software engineer and a research scientist at MIT AI lab and IBM.
Victor is a research scientist at Opendoor Technologies and an affiliate at Boston University. Victor’s research focuses on computational economics and large-scale, micro-founded simulation methods, with applications in housing economics, public finance, macroeconomics, and the economics of AI. Victor received his Ph.D in Economics from Boston University, and an M.S. in Statistical and Economic Modeling from Duke University, where he also received a B.S. in Economics and a B.A. in Philosophy.
Victor’s ongoing projects with other Stanford DEL researchers focus on the intergenerational, macroeconomic, and fiscal policy implications of advanced AI and skill-biased technological change. Victor’s publications have been covered by major media outlets including CNBC, The Wall Street Journal, Bloomberg, The Hill, The New York Times, Barron’s, and Forbes. He has also been invited to present his research at the NBER, the National Tax Association, the Federal Reserve Bank of Atlanta, Boston, and Kansas City, the Gaidar Institute, the Congressional Budget Office, and the Hong Kong Monetary Authority.
