Hazhir Rahmandad


Hazhir Rahmandad

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Hazhir Rahmandad is the Schussel Family Professor of Management Science and an Associate Professor of System Dynamics at the MIT Sloan School of Management.

Hazhir's research shows how complex organizational dynamics can lead to heterogeneity in organizational practices and outcomes. He has analyzed how organizations learn in the presence of delays between taking action and observing the results, and has shown through empirical data and simulations the resulting learning challenges. Hazhir's strategy research has explored the shape of organizational performance landscapes, capability development tradeoffs under competition, and erosion of organizational capabilities through adaptation traps. In another stream of work he has studied public health problems, including COVID-19, obesity and depression dynamics, and comparing different modeling methodologies in application to epidemics, among others. Hazhir also contributes to expanding the dynamic modeling toolbox through advancing parameter estimation and validation methods for dynamic models.

Hazhir has published in diverse journals including Management ScienceOrganization ScienceStrategic Management Journal, Strategy Science, Journal of Operations ManagementInternational Journal of Obesity, Lancet Planetary Health, and System Dynamics Review, among others. He has been a reviewer for over 30 NIH and NSF panels and over two dozen different journals, and his research has been funded by the National Science Foundation, National Institutes of Health, Department of Housing and Urban Development, and private sector firms.

Hazhir holds a BS in industrial engineering from Sharif University of Technology and a PhD in management with system dynamics concentration from MIT. Before joining MIT Sloan in 2015, Hazhir was an Associate Professor of Industrial and Systems Engineering at Virginia Tech.


Hazhir Rahmandad wins Jay Wright Forrester award


"Evolution and Reproducibility of Simulation Modeling in Epidemiology and Health Policy over Half a Century."

Jalali, Mohammad S., Catherine DiGennaro, Abby Guitar, Karen Lew, and Hazhir Rahmandad. Epidemiological Reviews. Forthcoming.

"Enhancing Long-term Forecasting: Learning from COVID-19 Models."

Rahmandad, Hazir, Ran Xu, and Navid Ghaffarzadegan, MIT Sloan Working Paper 6502-21. Cambridge, MA: MIT Sloan School of Management, August 2021.

"What Makes Dynamic Strategic Problems Difficult? Evidence from an Experimental Study."

Rahmandad, Hazhir, Jerker Denrell, and Dražen Prelec. Strategic Management Journal Vol. 42, No. 5 (2021): 865-897.

"Behavioral Responses to Risk Promote Vaccinating High-contact Individuals First."

Rahmandad, Hazhir, MIT Sloan Working Paper 6503-21. Cambridge, MA: MIT Sloan School of Management, February 2021.

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Why there is no long-term tradeoff between lives and livelihoods in the pandemic

This counter-intuitive result emerges because countries actually have little choice in how much they must reduce contact levels to control the epidemic.

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No tradeoff between lives and livelihoods in the COVID-19 pandemic

Two studies by Prof. Hazhir Rahmandad, Prof. John Sterman, and PhD student Tse Yang Lim find that this apparent tradeoff is a false one.

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