Affiliation: Institute for New Economic Thinking
Advisor: Doyne Farmer
Davoud Taghawi-Nejad holds a PhD in Economics of Complexity and Innovation. He published on business cycles, network effects of central bank policy, the use of artificial intelligence and computational methods in economics. At MIT and the University of Sao Paulo Davoud applied this research to create policy simulators. Amongst others he created simulations of the Saudi Arabian Labor market and the Brazilian education system in order to improve policy making in this fields. This research was conducted using a modelling platform he developed called Agent-Based Computational Economy Platform (ABCE).
University of Sao Paulo
Lab Affiliation: Laboratorio de Sistemas Inteligentes
Advisor: Jaime Simão Sichman
Massachusetts Institute of Technology (MIT)
Lab Affiliation: Center for Complex Engineering Systems
Advisor: Olivier de Weck
Date PhD Completed : 2013
Dr. Davoud Taghawi-Nejad does applied and theoretical research in complexity economics and agent-based modeling. His applied work uses ABM to predict policy impacts on macro-labor markets and to understand business cycles. Taghawi-Nejad’s modeling strategies are eclectic: while he uses new techniques like learning, artificial intelligence, statistical behavior and incomplete information methods to model firm and worker behavior, he also relies on traditional methods like utility and profit maximization. The distinguishing feature of his work is out-of-equilibrium modeling of markets, economies, and (especially) unemployment.
At ESD and KACST’s Center for Complex Engineering Systems, Taghawi-Nejad works on the creation of a Labour Market Decision Support System for Saudi Arabia. His PIs are Olivier de Weck, David Autor, and Michael Greenstone.