Danielle Li

Faculty

Danielle Li

About

Danielle Li is the Class of 1922 Career Development Professor, and an Associate Professor at the MIT Sloan School of Management, as well as a Faculty Research Fellow at the National Bureau of Economic Research. Her research interests are in economics of innovation and labor economics, with a focus on how organizations evaluate ideas, projects, and people. 

Danielle's work has been published in leading academic journals across a range of fields, including the Quarterly Journal of Economics, Science, and Management Science. In addition, her work has been regularly featured in  media outlets such as the EconomistNew York Times, and Wall Street Journal.

She has previously taught at the Harvard Business School and the Kellogg School of Management. She holds an AB in mathematics and the history of science from Harvard College and a PhD in economics from MIT.  

Honors

Publications

"Missing Novelty in Drug Development."

Joshua Krieger, Danielle Li, and Dimitris Papanikolaou. Review of Financial Studies. Forthcoming.

"Scientific Grant Funding."

Azoulay, Pierre, and Danielle Li. In Innovation and Public Policy, Innovation and Public Policy: University of Chicago Press, Forthcoming.

"Internal Deadlines, Drug Approvals, and Safety Problems."

Cohen, Lauren, Umit G. Gurun, and Danielle Li. American Economic Review: Insights Vol. 1, No. 3 (2021): 67-82.

"Trust, Collaboration, and Economic Growth."

Kondo, Jiro, Danielle Li, and Dimitris Papanikolaou. Management Science Vol. 67, No. 3 (2021): 1825-1850.

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Recent Insights

Press

Hiring algorithm impacts quality and diversity of candidates

“There is a growing body of work on the potential gains from following algorithmic recommendations, but this is the first paper to highlight the role of algorithm design on the hiring process.”

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Ideas Made to Matter

Exploration-based algorithms boost hiring diversity

A new approach analyzed resumes for a Fortune 500 firm — and bested traditional screening practices.

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Media Highlights