Fernando Plascencia received his  Ph.D. from Cornell University and a MS in Economics from the University of Guadalajara. His work focus on concepts from Behavioral Economics and Network Theory applied to the analysis of well-being, risk perception and preferences in locations affected by violence.

Other ongoing work focused on apply methods to assess and characterize models in Machine Learning (ML), Natural language processing (NLP) to contribute to the analysis of well-being that can advance our understanding of causal effects.

Research Interests

• Experimental and Behavioral Economics .

• Public Policy, Well-Being.

• Data Science.

• Causal Inference.

• Network Theory.