MIT Sloan Future of Work
Searching for expert sources on the future of work? MIT Sloan School of Management faculty have timely insights for global business leaders.
Featured Experts
- Danielle Li’s research illustrates that generative AI helps newer workers broaden their experience and that it improves customer sentiment, increases employee retention and productivity, and can help employees gain new skills.
- Nathan Wilmers can speak to how employers can better facilitate economic mobility for employees, particularly workers of color and those without college degrees, by improving material job quality, increasing access to better jobs, and promoting sustainability of employment.
- Anna Stansbury's recent work has found substantial evidence of minimum wage noncompliance in the US. Currently, the costs violators face upon detection are little more than the money they saved by underpaying. Her work advocates substantially increasing penalties to ensure compliance
Future of Work Experts
Danielle Li
David Sarnoff Professor of Management of Technology
Danielle Li is the David Sarnoff Professor of Management of Technology and a 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…
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Nathan Wilmers
Erwin H. Schell Associate Professor of Management
Nathan Wilmers is the Erwin H. Schell Associate Professor of Management and an Associate Professor of Work and Organization Studies at the MIT Sloan School of Management. He is in the core faculty of the Institute for Work and Employment Research…
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Anna Stansbury
W. Maurice Young (1961) Career Development Assistant Professor of Management
Anna Stansbury is an Assistant Professor of Work and Organization Studies at the MIT Sloan School of Management, and is in the core faculty of the MIT Institute for Work and Employment Research. She is also a nonresident senior fellow at the…
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Swati Gupta
Class of 1947 Career Development Associate Professor
Swati Gupta is the Class of 1947 Career Development Associate Professor and an Associate Professor at the MIT Sloan School of Management in the Operations Research and Statistics Group. Her work focuses on deep theoretical questions in optimization…
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Kate Kellogg
Hear name pronounced.David J. McGrath jr (1959) Professor of Management and Innovation
Kate Kellogg is the David J. McGrath jr Professor of Management and Innovation, a Professor of Business Administration at the MIT Sloan School of Management. Kate's research focuses on helping knowledge workers and organizations develop and…
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Contact The Media Relations Staff
For help connecting with experts, reach out to the MIT Sloan Media Relations Team.
Future of Work Research
"Does Voice Gap Influence Workers’ Job Attitudes and Well-Being? Measuring Voice as a Dimension of Job Quality."
Díaz-Linhart, Yaminette, Thomas Kochan, Arrow Minster, Dongwoo Park, and Duanyi Yang. British Journal of Industrial Relations. Forthcoming.
"Organizational Learning with Generative AI: New Modes of Knowledge Search, Creation, Retention, and Transfer."
Wiesenfeld, Batia Mishan and Katherine C. Kellogg. Strategic Organization. Forthcoming.
"Too Many Fairness Metrics: Is There a Solution? Equity Across Demographic Groups for the Facility Location Problem."
Gupta, Swati, Akhil Jalan, Gireeja Ranade, Helen Yang and Simon Zhuang. In Data Science and Optimization, edited by Sebastian Pokutta, 231-272. New York, NY: Springer Nature Link. Forthcoming.
"Promise of Graph Sparsification and Decomposition for Noise Reduction in QAOA: Analysis for Trapped-Ion Compilations."
Moondra, Jai, Philip C. Lotshaw, Greg Mohler, and Swati Gupta (Under major revision), MIT Sloan Working Paper 7230-24. Cambridge, MA: MIT Sloan School of Management, April 2026. arXiv.
Keywords: Quantum, Graphs, QAOA, Max-Cut, NISQ Computing, Graph Sparsification
"Effectiveness of a Participatory Voice Intervention on Psychological Well-Being Among Warehouse Workers: Results From the Fulfillment Center Intervention Study, United States, 2021‒2023."
Siebach, Kirsten F., Yaminette Diaz-Linhart, Laura Kubzansky, Lisa Berkman, Molin Wang, Lin Ge, Alexander Kowalski, Hazhir Rahmandad, and Erin L. Kelly. American Journal of Public Health Vol. 116, No. 4 (2026): 522-532. Download Paper.
"Hiring as Exploration."
Li, Danielle, Lindsey Raymond, and Peter Bergman. Review of Economic Studies Vol. 93, No. 2 (2026): 1200-1240. Accepted Manuscript.
"Validating LLM Output? Prepare to Be ‘Persuasion Bombed’."
Randazzo, Steven, Akshita Joshi, Katherine C. Kellogg, Hila Lifshitz, and Karim R. Lakhani. Sloan Management Review, February 3, 2026.
"Earnings Effects of Direct Worker Voice in Production."
Nelson, Dylan and Nathan Wilmers. ILR Review Vol. 79, No. 1 (2026): 36-58. Preprint.
"Fair and Reliable Reconnections for Temporary Disruptions in Electric Distribution Networks."
Gupta, Swati, Cyrus Hettle, and Daniel Molzahn. INFORMS Journal on Computing Vol. 38, No. 1 (2026): 67-85. arXiv Preprint.
"Improving Clinical Decision Support through Interpretable Machine Learning and Error Handling in Electronic Health Records."
Arora, Mehak, Hassan Mortagy, Nathan Dwarshuis, Jeffrey Wang, Philip Yang, Andre L Holder, Swati Gupta, and Rishikesan Kamaleswaran. Journal of the American Medical Informatics Association Vol. 33, No. 1 (2026): 123-132. arXiv Preprint.