Stanford University

NEWS

Three Digital Fellows Receive Antitrust Writing Award

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.

Meet the Digital Fellows

Georgios Petropoulos

Georgios Petropoulos

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 Van Alstyne

Marshall Van Alstyne

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. 

Geoffrey Parker

Geoffrey Parker

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.

The EU Digital Markets Act:
Will it shake up big tech?


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.

NEWS

S-DEL and SIEPR to Evaluate the Future of Work in California

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.

Future of Work Dashboard

The Future of Work Dashboard will utilize data from ongoing Stanford Digital Economy Lab research, including the following research areas and projects.

Outline of head/AI

Suitability for Machine Learning Rubric

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.

Wooden blocks connecting people

Job2Vec

Using data from 200 million online job postings, S-DEL is training a natural language processing model to learn the language of jobs.

Warehouse worker in mask

Economic and Productivity Impacts of COVID-19

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. 

Future of Work in California report cover

A New Social Compact for Workers in California


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.

“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.”

ERIK BRYNJOLFSSON
Director, Stanford Digital Economy Lab

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

June 1, 2021

Recap: Our Spring 2021 Seminar Series

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Missed a seminar? Watch it now.

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

View presentation slides

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


Watch on YouTube

Remaking the Post-COVID World

May 17, 2021
Daron Acemoglu
MIT

Podcast: Reinventing Education for The Second Machine Age

S-DEL News | March 22, 2021

Feb 10, 2021

47 mins

Stanford Digital Economy Lab Director Erik Brynjolfsson joins the Sprint to Success with Design Thinking podcast to discuss reinventing industries and shaping our destiny in an era of rapid digital transformation. Erik shares his optimistic view of the relationship between humans and machines, and talks about the need to reinvent education. 

Listen now

April 2, 2021

Call For Proposals: Four Radical Ideas for a Better Society

Deadline for proposals

May 10, 2021

Conference date

November 09-10, 2021

Submit your radical policy idea for governing AI

Can basic income address the future of automated work? Should a public agency certify algorithms? How would we regulate AI-based decisions on platforms? Should there be ownership rights in data that fuel algorithms?  

With artificial intelligence rapidly transforming every aspect of our world, calls for regulation, governance, and oversight are on the rise. During the HAI 2021 Fall Conference, we will consider four radical proposals for governing AI. Each substantive session will feature the short presentation of one radical proposal with discussion by a panel of experts from multiple disciplines and backgrounds.

The Stanford Institute for Human-Centered Artificial Intelligence invites you to propose a radical policy idea. Our panel of experts will review the submissions and choose proposals to discuss live at the conference. Policy ideas should be focused on the impact of artificial intelligence on humanity.

We welcome policy proposals from anyone, living anywhere, aimed at any geography or level of government. This event is not limited to the United States. 

Deadline for proposals: May 10, 2021. Selections will be announced by June 30, 2021

Eligibility: Open to the public. Limit one submission per person.

How Should We Measure the Digital Economy?

December 1, 2019

Avinash Collis

Digital Fellow

Harvard Business Review

November-December 2019 issue

Macroeconomic indicators can be precisely measured, but they tell only part of the story. Well-being metrics convey a truer picture of how consumers are doing, but they are more subjective. By considering an array of measures, including our GDP-B metric, policy makers, regulators, and investors can establish a better foundation for decision making.

Read the article

All-Star Panel Headlines the AI & The Future of Work Conference

Sachin Walker | October 22, 2020

3-minute read

AI and digital technologies in general are having a profound impact on the economy, including productivity, business, and policy.

How will work be changed by AI?

That’s the focus of the Stanford Institute for Human-Centered Artificial Intelligence (HAI) Conference and launch event for its new Digital Economy Lab. “Our focus is on how technology – specifically AI and digital technologies – is changing society and the economy,” says Digital Economy Lab executive director Christie Ko, who will serve as event MC. She helps run the lab with director Erik Brynjolfsson, a senior fellow at HAI and at the Stanford Institute for Economic Policy Research (SIEPR), who will play a central role as host and moderator during the virtual conference.

The October 27 launch features a range of visionary researchers, executives, and policy experts from the public and private sectors, including LinkedIn cofounder Reid Hoffman, Rhode Island Governor Gina Raimondo, and Stanford University President Marc Tessier-Lavigne.

Here, Ko answers questions about the launch event and the Stanford Digital Economy Lab’s broader mission. (Register for the free event and see the agenda here.)


What is the Lab’s focus?

Erik Brynjolfsson founded the lab with a mission to better understand the effects of digital technologies, both intended and unintended. If we succeed, our research can help create an economy that truly works for everyone. Our team is working to provide data and insights that will help shape the future of work.

As machine learning and AI systems are deployed, businesses and work are being fundamentally transformed. As part of Stanford HAI, much of our research is focused on understanding how jobs and tasks can be augmented by machine learning. Equally important is providing data and tools that help us work toward designing the AI-augmented jobs of the future. As technology becomes increasingly capable, we believe it is critical to make sure it serves humanity and reflects our values.


What can attendees expect for the launch event?

We see this as a critical time. We’re in the early days of a massive, AI-driven transformation. At this event, we’re bringing some of the biggest thought leaders together to talk about what’s happening for jobs and the economy today and in the future.

This event will highlight the latest thinking from the world’s experts, showcase timely discussions amongst academics, policymakers, and industry experts, and summarize some of the key research that we’re doing at Stanford. We’ve convened an outstanding group of speakers with diverse opinions, experiences, and points of view.


Who should attend?

All who are interested in learning more about how AI is transforming work. Managers, workers, academics, programmers, educators, policymakers, students, CEOs – you name it!

“We’re bringing some of the biggest thought leaders together to talk about what’s happening for jobs and the economy today and in the future.”

Christie Ko

Executive Director, Stanford Digital Economy Lab

What’s something you’re really excited about for the event?

It’s hard to pick just one – the whole event is packed with superstars. Our policy panel includes Condoleezza RiceMary Kay HenryMark Duggan, and Susan Athey, and is moderated by Gillian Tett. That’s an amazing group of people to talk about the policy implications of AI and the future of work. For example, Susan Athey has done groundbreaking work on demographics, labor, and AI adoption. And Mary Kay Henry, who’s president of the Service Employees International Union, will be able to share actual examples of AI being brought into different jobs, especially service jobs. We know there’s a lot already happening – it’ll be great to hear from someone closer to the front line. Add Mark Duggan and Condoleezza Rice to that, with Gillian Tett to keep the group focused on the hard-hitting questions the public wants answers to – you don’t always get that from policy panel discussions. This combination is really unique.


What do you hope attendees take away from the event?

I’m sure some will attend to hear specific speakers like Reid Hoffman or Eric Schmidt. Or to learn about how our research team is building tools to help track and understand the transformation of jobs. But regardless of the specific content people initially tune in for, I hope people come away with the understanding that Stanford is not just creating the best AI technologies; we view studying the impact of AI on human workers and the economy as vital.

That’s a big reason why the Stanford Digital Economy Lab is being launched. We want to help solve these challenges. There’s no guarantee that AI will automatically be a benefit to most workers. We have to take action now to determine what the future holds. It’s through these types of conversations that we’re going to find the best pathways forward – to gain perspective and make informed, good decisions.

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