Ideas Made to Matter
The top 10 MIT Sloan articles of 2023
Artificial intelligence is everywhere. But it’s humble leadership that leads our list.
Nov 27, 2023
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Danielle Li
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Danielle Li is 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 Economist, New 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.
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Publications
Featured Publication
"Discretion in Hiring."Hoffman, Mitchell, Lisa Kahn, and Danielle Li. Quarterly Journal of Economics Vol. 133, No. 2 (2018): 765-800. Download paper.
Featured Publication
"Public R&D Investments and Private Sector Patenting: Evidence from NIH Funding Rules."Azoulay, Pierre, Joshua S. Graff Zivin, Danielle Li, and Bhaven N. Sampat. Review of Economic Studies Vol. 86, No. 1 (2019): 117-152.
"Potential and the Gender Promotion Gap."
Benson, Alan M., Danielle Li, and Kelly Shue. Academy of Management Proceedings Vol. 2023, No. 1 (2023).
"Generative AI at Work."
Brynjolfsson, Erik, Danielle Li, and Lindsey R. Raymond, MIT Sloan Working Paper 6848-23. Cambridge, MA: MIT Sloan School of Management, April 2023. NBER Working Paper 31161.
"Insurance Design and Pharmaceutical Innovation."
Agha, Leila, Soomi Kim, and Danielle Li. American Economic Review: Insights Vol. 4, No. 2 (2022): 191-208. Download Preprint.
"Missing Novelty in Drug Development."
Joshua Krieger, Danielle Li, and Dimitris Papanikolaou. The Review of Financial Studies Vol. 35, No. 2 (2022): 636–679. Download Preprint.
Recent Insights
Ideas Made to Matter
Study: Generative AI helps inexperienced workers
Less-experienced contact center agents become more productive with assistance from generative artificial intelligence, a new study finds.
Jun 26, 2023
Media Highlights
Press
Source:
The Economist
What will artificial intelligence mean for your pay?
An AI assistant rolled out this year lifted the productivity of customer-support agents by 35%.
Press
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Bllomberg | Opinion
Managers, stop overlooking women’s potential
Managers saw women as having less leadership potential even though their performance reviews were better than those of their male peers.
Press
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BNN Network
Gender disparity in career advancement: Women still lag behind in 2022 p...
According to research by Danielle Li women received higher performance ratings than male employees but received 8.3 lower ratings for potential.
Press
Source:
The Conversation
The progress of women in the workplace is at a standstill. How can we br...
Women are promoted less than men because they are deemed to have less leadership potential than men.
Executive Education
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Over six weeks, you’ll explore the technical and strategic considerations for robust, beneficial, and responsible AI deployment. You’ll examine the various stages of a proprietary ML Deployment Framework and unlock new opportunities by investigating the key challenges and their related impact. Guided by leading experts and MIT academics, you’ll build a toolkit for addressing these challenges within your own organization and context.
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