Fernando Plascencia received his Ph.D. (2017) from Cornell University and a MS (2006) in Economics from the University of Guadalajara. He is interested in questions about how science and tech can help society. His work has focused on concepts from Behavioral Economics and Network Theory applied to the analysis of well-being, risk perception and preferences in locations affected by violence.

He uses experimental, analytical, and computational techniques [methods at the intersection of Machine Learning (ML), NLP (Natural Language Processing), and Econometrics] that can advance our understanding of both the immediate and longer-term behavioral responses of citizens to violent events and their effects on well-being.

Research Interest

  • Applied Economics

  • Behavioral Research

  • Data Science (Machine Learning, NLP)

  • Network Theory

  • Well-Being

  • Causal Inference