ABM applied to socio-economic systems: opinion evolution, industry dynamics, spatial models of voting, diffusion of innovations, macroeconomic with microfoundations, etc.
Match-making platforms for sociocultural change.
Human behavioral ecology, marine ecology, cognitive sciences, decision making under uncertainty
Quantitative research in economics.
Currently working on Agent Based Demography.
Mathematical modeling and simulation in social sciences, biology, physics, and signal processing.
Sae Schatz, Ph.D., is an applied human–systems researcher, professional facilitator, and cognitive scientist. Her work focuses on human–systems integration (HSI), with an emphasis on human cognition and learning, instructional technologies, adaptive systems, human performance assessment, and modeling and simulation (M&S). Frequently, her work seeks to enhance individual’s higher-order cognitive skills (i.e., the mental, emotional, and relational skills associated with “cognitive readiness”).
I´m a full Professor at the Universidad Autónoma de Baja California in Mexico. I teach computer sciences and software engineering in graduate and undergraduate academic programs.
Currently Associate Professor of Anthropology, University of Colorado Colorado Springs. I took my first modelling class in Repast with Dr. Mark Lake as part of my M. Sc. at UCL. After a workshop with Dr. Luke Premo and Dr. Anne Kandler, I moved to NetLogo and haven’t looked back.
Find our recent textbook, Agent-based modeling for Archaeology: Simulating the Complexity of Societies here: https://santafeinstitute.github.io/ABMA/