August 2, 2021
1 min read
Three Stanford Digital Economy Lab digital fellows have received a 2021 Antitrust Writing Award for their working paper titled “Digital Platforms and Antitrust.”
The digital fellows, Geoffrey Parker, Georgios Petropoulos, and Marshall Van Alstyne, were recognized as authors of the best academic paper written in the Digital category.
Organized by Concurrences and The George Washington University Law School’s Competition Law Center, the Antitrust Writing Awards celebrate the best in antitrust writing across a spectrum of categories, including mergers, intellectual property, and procedure.
Georgios is a post-doctoral researcher at MIT Initiative on the Digital Economy and a research fellow at Bruegel, an economics think tank based in Brussels. His research focuses on digital platforms, competition policy, and the implications of new technologies on labor markets.
Marshall is one of the leading experts in network business models. As co-developer of the concept of “two-sided networks,” he has been a major contributor to the theory of network effects, a set of ideas now taught worldwide.
Geoff has made significant contributions to the field of network economics and strategy as co-developer of the theory of “two-sided” markets. He is also co-author (with Marshall Van Alstyne) of the book, Platform Revolution.
Parker, Petropoulos, and Van Alstyne discuss the EU Digital Markets Act, legislation that seeks to reign in the power of big tech companies like Amazon, Apple, and Google.
July 12, 2021
MIT Sloan
After years of decline, productivity is poised to accelerate, says Stanford Digital Economy Lab Director Erik Brynjolfsson. The next challenge is preparing workers, and making sure benefits aren’t distributed unequally.
Read article
July 19, 2021
4 min read
Automation is on the rise. The nature of work is rapidly changing. And businesses and California policymakers are dealing with a growing set of challenges and opportunities presented by the state’s evolving workforce and job market.
The Stanford Digital Economy Lab (S-DEL) and the Stanford Institute for Economic Policy Research (SIEPR) are embarking on research that will help evaluate how artificial intelligence and machine learning will impact the future of work in California for the next century. The project begins this summer and will be led by S-DEL Director Erik Brynjolfsson and SIEPR Director Mark Duggan.
The work will be performed in collaboration with California 100, an initiative to envision and shape the long-term success of the state. Incubated at the University of California and Stanford University, the California 100 initiative will focus on creating policy recommendations to ensure the state’s sustainability, innovation, and equity for the next century.
“The vision of the California 100 initiative aligns perfectly with the Lab’s vision of building a technology-driven economy that benefits everyone,” said Brynjolfsson. “We look forward to being a part of a project that helps companies and workers in California take on the challenges and opportunities posed by digitization and automation.”
Stanford researchers will develop a Future of Work Dashboard that draws on S-DEL’s data and insights to illustrate the transformation of jobs throughout California. The dashboard will sample a range of occupations across different regions, wage levels, education levels, and skill bundles to assess the resilience of each job to automation. The data will also highlight the most valuable skills in each occupation, suggest adjacent lines of work, and provide a comprehensive outlook for each position.
The Future of Work Dashboard will utilize data from ongoing Stanford Digital Economy Lab research, including the following research areas and projects.
The Suitability for Machine Learning (SML) Rubric project offers a theoretical framework for how occupations will change and predicts which occupations are exposed to advances in machine learning and robotics methods.
Using data from 200 million online job postings, S-DEL is training a natural language processing model to learn the language of jobs.
SDEL’s research team is examining how businesses and workers are adapting to COVID-19 measures, such as lockdowns and remote working, brought on by the pandemic.
Researchers will address issues tied to tax policy and minimum wage and their impact on innovation and automation. “Rigorous, data-driven research is the foundation for creating good economic policy,” Duggan said. “Our work at SIEPR has long informed policy decisions at the local, state, and federal levels, and this is an opportunity for us to make important contributions to California’s economic future.”
Stanford’s research and insights will inform a broad set of policy recommendations that will be developed in conjunction with research from other universities and research institutions. The research will be completed in December 2021.
Follow us on Twitter for updates about the California 100 initiative, as well as other S-DEL research projects.
A March 2021 report released by the Future of Work Commission detailed what must be done to ensure inclusive and long-term economic growth in California. The Commission, which included Stanford HAI co-director Fei-Fei Li and HAI advisors Mary Kay Henry and James Manyika, devoted 18 months to meeting and listening to workers, employers, researchers, and other members of civil society to understand the current state and future of work and workers in California.
Our weekly Seminar Series features a wide range of experts discuss research on topics focused on AI and the digital economy. A big thanks to all the colleagues and collaborators who joined us to share their time and insights.
Workforce Education: A New Roadmap
March 8, 2021
Sanjay Sarma
MIT
Bill Bonvillian
MIT
Modernizing Measurement of Productivity with Nonstandard Data
March 22, 2021
Erica Groshen
Cornell University
Power Laws in Economics
April 5, 2021
Xavier Gabaix
Harvard University
Winner-Take-All Markets
April 12, 2021
Robert Frank
Cornell University
Hiring as Exploration
April 19, 2021
Danielle Li
MIT Sloan School of Management
Influence and Interventions in Networks
April 26, 2021
Ben Golub
Northwestern University
Artificial Intelligence, Globalization, and Strategies for Economic Development
May 3, 2021
Joseph Stiglitz
Columbia University
Anton Korinek
University of Virginia
The Demand for Executive Skills
May 10, 2021
Raffaella Sadun
Harvard Business School
Remaking the Post-COVID World
May 17, 2021
Daron Acemoglu
MIT
