Fernando Plascencia is a Postdoctoral Researcher funded by the Secretary of Science, Humanities, Technology, and Innovation, working at CEPRODE, University of Guadalajara. He holds a Ph.D. from Cornell University. His research focuses on the application of Behavioral Economics and Network Theory to the analysis of well-being, risk perception, and individual preferences in areas 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.