Issues

Innovation and Economic Growth

Researchers today are trying to understand how information technology affects innovation, productivity, and economic growth while studying the impact of political and legal ground rules. Academics featured here are looking at the potential to create jobs and keep policymakers aware of emerging trends in technology.

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Upcoming Events

Artificial Intelligence, the Future of Employment, and the Law

Presented by Silicon Flatirons

April 24, 2020, Online Event

[Cancelled] The 18th Annual International Industrial Organization Conference

Sponsored by the Industrial Organization Society

May 1, 2020, Philadelphia, PA

Eighth Annual Conference on Governance of Emerging Technologies & Science (GETS)

A Center for Law, Science & Innovation event

May 27, 2020, Phoenix, AZ

Thirteenth Annual Conference on Innovation Economics

Searle Center on Law, Regulation, and Economic Growth event

June 11, 2020, Chicago, IL

CCP 16th Annual Conference 2020: Vertical Restraints: Updating for the Digital Dimension

Presented by the Centre for Competition Policy

July 9, 2020, London, UK

TAP Blog

Nicholas Bloom Addresses Working from Home Challenges During COVID-19

Stanford economist Nicholas Bloom discusses how the current global ‘working remotely’ movement caused by COVID-19 restrictions differs from the benefits he identified in his work-from-home research conducted in 2015.

TAP Staff Blogger

Fact Sheets

Artificial Intelligence

Artificial intelligence (AI) refers to technologies that perform learning and reasoning in ways that simulate human cognitive abilities.

Quote

Navigating Disruption: a Roadmap for Leaders

"It may be easier for companies to stay in silos, but that just makes them more vulnerable to disruption." — Joshua Gans, Professor of Strategic Management, University of Toronto

Joshua Gans
Fast Company
July 25, 2019

Featured Article

More Than Money: Correlation Among Worker Demographics, Motivations, and Participation in Online Labor Market

Demographic factors such as age, gender, education and income sources explain participation in online labor markets such as Amazon’s Mechanical Turk. Men and women feel equal pressure to earn money, but schedule work differently.

By: Mary L. Gray, Siddharth Suri, Wei-Chu Chen