Social and Decision Analytics

J Bayoán Santiago Calderón

  • Postdoctoral Research Associate
J Bayoán Santiago Calderón Headshot
Bio

Bio

Dr. José Bayoán Santiago Calderón joined the Social & Decision Analytics division of the Biocomplexity Institute & Initiative at the University of Virginia in May 2019. He holds a doctoral degree in economics with a major field in political economy & public economics. He has previously worked as a data scientist and software developer with various consulting and software companies in the fields of residential demand-side management (DSM) and PK/PD models. His specialty includes methods such as regression analysis, machine learning, geographic information systems (GIS), agent-based models (ABM), and experiments. Some of his work includes theoretical and applied guidance for cluster robust models used in estimating the average treatment effect in the potential presence of heterogeneity in treatment effects. During his spare time, Bayoán contributes to the Julia language ecosystem developing and maintaining open-source packages in the domains of data science and scientific computing. Within the Social & Decision Analytics division, he has worked on various projects including:

  • Computational Simulation of Online Social Behavior (SocialSim) 
  • Evaluating the Impact of the Arlington Restaurant Initiative    
  • Identifying Non-traditional Science, Technology, Engineering, and Technology (STEM) Pathways
  • Measuring the Scope and Impact of Open Source Software

C.V.

Selected Publications
Social and Decision Analytics
MethodSpace. SAGE Publishing., (2020) Keast J, Pocinki A, Ratcliff N, Thurston J, Calderón J, Schroeder A.
Social and Decision Analytics
Proceedings of the JuliaCon Conferences, 1(1):38: (2020) Calderón JBS.
Social and Decision Analytics
MethodSpace. SAGE Publishing., (2020) Cong C, Isch C, Tobin E, Korkmaz G, Calderón JBS, Schroeder A, Kramer BL.