Shawn Mankad
Business Management
- Email: smankad@ncsu.edu
- Office: Nelson Hall 3122
- Website: https://mankad-research.github.io/
Shawn Mankad is an associate professor of analytics and the Stephen P. Zelnak Jr. Scholar at NC State’s Poole College of Management. His interdisciplinary work has been supported by NSF funding and published in leading outlets across the fields of statistics, operations management, information systems and finance. Before joining NC State, Mankad held faculty positions at Cornell University and the University of Maryland and was a visiting scholar at the Federal Reserve Bank of Philadelphia. At Cornell, Mankad was the the lead faculty for the Digital Technology Immersion, which was launched in Spring 2016 as a joint program with Information Sciences. The program aims to prepare MBA and Info Science MPS students for careers in the digital economy, with courses in strategy and analytics, marketing, and information technology. He also taught three MBA courses:
- Machine Learning Applications in Business
- Introduction to SQL and Tableau
- Business and Information Science Practicum
At NC State, Mankad serves as the inaugural faculty lead for the business analytics concentration. Launched in Fall 2024, this new curriculum is designed to equip students with the skills to collect, analyze and present data effectively, ensuring they are career-ready from day one.
Research Interests
Mankad’s research focuses on developing and applying statistical methods for addressing business, economic and policy issues. He specializes in using text documents to explain and predict economic variables, and in the modeling of networks to identify communities or influential nodes, and to characterize network structure evolution over time.
Education
| Degree | Program | School | Year |
|---|---|---|---|
| Ph.D. | Statistics | University of Michigan | |
| BS | Mathematics | Carnegie Mellon University |
Awards and Honors
- Outstanding Teaching Award, University of Maryland
Publications
- A Structural Topic and Sentiment-Discourse Model for Text Analysis
- Chen, L., & Mankad, S. (2024, October 16), MANAGEMENT SCIENCE, Vol. 10. https://doi.org/10.1287/mnsc.2022.00261
- Nonstandard Errors
- Menkveld, A. J., Dreber, A., Holzmeister, F., Huber, J., Johannesson, M., Kirchler, M., … Zwinkels, R. (2024, April 17), JOURNAL OF FINANCE, Vol. 4. https://doi.org/10.1111/jofi.13337
- The Best of Both Worlds: Machine Learning and Behavioral Science in Operations Management
- Davis, A. M., Mankad, S., Corbett, C. J., & Katok, E. (2024, July 25), M&SOM-MANUFACTURING & SERVICE OPERATIONS MANAGEMENT, Vol. 7. https://doi.org/10.1287/msom.2022.0553
- Evidence of the Unintended Labor Scheduling Implications of the Minimum Wage
- Yu, Q., Mankad, S., & Shunko, M. (2023, June 7), M&SOM-MANUFACTURING & SERVICE OPERATIONS MANAGEMENT, Vol. 6. https://doi.org/10.1287/msom.2023.1212
- Networks, interconnectedness, and interbank information asymmetry
- Brunetti, C., Harris, J. H., & Mankad, S. (2023), JOURNAL OF FINANCIAL STABILITY, 67. https://doi.org/10.1016/j.jfs.2023.101163
- CP-Squared: A method for change point detection in core–periphery networks
- Ma, D., & Mankad, S. (2022), Expert Systems with Applications, 196, 116660. https://doi.org/10.1016/j.eswa.2022.116660
- Protecting the anonymity of online users through Bayesian data synthesis
- Schneider, M. J., Hu, J., Mankad, S., & Bale, C. D. (2023), EXPERT SYSTEMS WITH APPLICATIONS, 216. https://doi.org/10.1016/j.eswa.2022.119409
- The urgency to borrow in the interbank market
- Brunetti, C., Harris, J. H., & Mankad, S. (2022), ECONOMICS LETTERS, 221. https://doi.org/10.1016/j.econlet.2022.110900
- Liquidity Networks, Interconnectedness, and Interbank Information Asymmetry
- Brunetti, C., Harris, J. H., & Mankad, S. (2021), Finance and Economics Discussion Series. https://doi.org/10.17016/FEDS.2021.017
- Sidedness in the interbank market
- Brunetti, C., Harris, J. H., & Mankad, S. (2022), Journal of Financial Markets, 59, 100663. https://doi.org/10.1016/j.finmar.2021.100663
