Mobile Tools to Inform Agent-Based Models

Abstract

Agent-based models (ABMs) are powerful tools for the study of complex systems, particularly when outcomes of interest at the system level (e.g., forest cover, traffic jams, or presidents) emerge from the decisions of individuals interacting with each other and their environment (e.g., farmers, drivers, or voters). However, the capacity to represent detailed decision structure within a model introduces a major burden of data collection to inform and calibrate those decisions. Historically, our ability to collect detailed data on decisions at large scale has been limited, but the advent of mobile information and communication technologies (ICTs) into rural areas is changing this. This seminar offers examples from past, present, and proposed work to capture decisions at larger scales and with precision, using mobile tools to take the lab environment into the field.

Presenters

Image
A headshot of Andrew Bell

Andrew Bell

Dr. Andrew Bell is Assistant Professor of Environmental Studies at New York University. Prior to this post, he was a Research Fellow in the Environment and Production Technology Division at the International Food Policy Research Institute (IFPRI) in Washington, DC, and a postdoctoral research fellow at The Earth Institute at Columbia University. His current research portfolio focuses on the use of field instruments—such as discrete choice experiments, framed field experiments, randomized control trials—to inform behavior in agent-based models of coupled human-natural systems. Andrew earned his...

Image
A headshot of Andrew Bell

Andrew Bell

Dr. Andrew Bell is Assistant Professor of Environmental Studies at New York University. Prior to this post, he was a Research Fellow in the Environment and Production Technology Division at the International Food Policy Research Institute (IFPRI) in Washington, DC, and a postdoctoral research fellow at The Earth Institute at Columbia University. His current research portfolio focuses on the use of field instruments—such as discrete choice experiments, framed field experiments, randomized control trials—to inform behavior in agent-based models of coupled human-natural systems. Andrew earned his PhD in 2010 from the University of Michigan. 

Presenters
Andrew Bell, New York University
Date
Time
11:00 a.m. ET
Location
1 Park Place, Suite 300 Annapolis, MD 21401
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