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 worked on the creation of a Labour Market Decision Support System for Saudi Arabia.