Agent-Based Modeling Workshop: March 11-12, 2019

** This workshop was by invitation only **

Location

This workshop was held at the Ahmadieh Family Auditorium, Rm 107, Gross Hall on the campus of Duke University.

Description

Agent-based modeling is widely used across many disciplines to study complex emergent behavior generated from simulated entities that interact with each other and their environment according to relatively simple rules. Applications include automobile traffic modeling, weather forecasting, and the study of epidemics. The inferential challenge of agent-based models is that (in general) there is no tractable likelihood function, and thus it is difficult to fit the model or make quantified statements about the accuracy of predictions. This workshop addressed that challenge from the perspective of uncertainty quantification, so that emulator methodology could be used to make approximate principled inferences about agent-based simulations.

Confirmed speakers for this event include:

Schedule and Supporting Media

Printed Schedule
Speaker Titles and Abstracts

Monday, March 11, 2019
Room 330, Gross Hall, Duke University

Description Speaker Slides
Registration
Welcome
Statistical Challenges in Agent-Based Modeling David Banks, SAMSI
Reduced-Scales and Alternative Representations for Large/Full-Scale ABMs Rob Axtell, George Mason University/Santa Fe Institute
Practical Bayesian Optimization for Agent Based Transportation Simulators Laura Schultz, George Mason University
Bayesian Model Calibration and Prediction Applied to (Stochastic) Epidemic Simulations Dave Higdon, Virginia Polytechnic Institute and State University
Video Conference Bobby Gramacy, Virginia Polytechnic Institute and State University
Nonparametric Estimation of General Equilibrium Price Vectors John Schuler, George Mason University
Informal Panel Hongyuan Cao, Florida State University
Leah Johnson, Virginia Polytechnic Institute and State University
Bruce Pitman, University of Buffalo
Ralph Smith, N.C. State University

Tuesday, March 12, 2019
Room 330, Gross Hall, Duke University

Description Speaker Slides
First-Order Statistical Emulators Mevin Hooten, Colorado State University
Replication or Exploration? Sequential Design for Stochastic Simulation Experiments Bobby Gramacy, Virginia Polytechnic Institute and State University
Cost-Effectiveness of the U.S. Federal Restaurant Menu Calorie Labeling Law for Improving Diet and Health: A Microsimulation Modeling Study Junxiu Liu, Tufts University
Next Steps Discussion
Adjourn

Questions: email mums@samsi.info