Ideas Made to Matter
The top 10 MIT Sloan news stories of 2022
From “smart skills” to digital marketing trends, here are the stories readers were drawn to this year.
Dec 5, 2022
Faculty
Danielle Li
Support Staff
Get in Touch
Title
About
Academic Groups
Academic Area
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.
Honors
Publications
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.
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.
"Insurance Design and Pharmaceutical Innovation."
Agha, Leila, Soomi Kim, and Danielle Li. American Economic Review: Insights. Forthcoming. Download Preprint.
"Missing Novelty in Drug Development."
Joshua Krieger, Danielle Li, and Dimitris Papanikolaou. Review of Financial Studies. Forthcoming. Download Preprint.
"Scientific Grant Funding."
Azoulay, Pierre, and Danielle Li. In Innovation and Public Policy, edited by Austan Goolsbee and Ben Jones, 1-34. Chicago, IL: University of Chicago Press, 2022. NBER Working Paper #26889.
"'Potential' and the Gender Promotion Gap."
Benson, Alan, Danielle Li, and Kelly Shue, MIT Sloan Working Paper 6484-21. Cambridge, MA: MIT Sloan School of Management, October 2021.
Recent Insights
Ideas Made to Matter
Women are less likely than men to be promoted. Here’s one reason why
Whether you use the Nine Box system or another assessment tool, new research suggests it’s time to rethink how you rate and track potential.
Apr 12, 2022
Media Highlights
Press
Source:
The Economist
How to escape scientific stagnation
Danielle Li and Pierre Azoulay note that the DARPA model does best when its directors have an understanding of needed breakthroughs.
Press
Source:
Bloomberg Businessweek
Expand your hiring pool beyond elite schools and high GPAs
"The point is to find someone who will be creative and seek solutions for this particular position."
Press
Source:
Fast Company (Opinion Piece)
Design of hiring algorithms can double diversity in firms
"...an ongoing concern is the potential for automated approaches to codify existing human biases..."
Press
Source:
Axios
When robots are recruiters
Using AI to recruit isn't inherently bad, says Danielle Li...It's about using the right kind of algorithm.
Executive Education
Executive Education Course
Making AI Work: Machine Intelligence for Business and Society
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.
- Jun 7-Aug 1, 2023
- Aug 16-Oct 3, 2023
- Nov 15, 2023-Jan 23, 2024