Cleotilde Gonzalez investigates decision making in complex dynamic environments. Such environments are characterized by the need for people to make multiple, interdependent, real-time decisions in reaction to both external changes, as well as the effects of their past decisions.
Her group asks the general question of how decision makers adapt and learn in dynamic situations. This question naturally leads to a focus on the match between decision processes and the dynamic situations in which those decisions are made. DDM theory and methods, therefore, are particularly suited to programs concerned with the integration of humans and complex systems.
At the DDMLab, her team seeks to build models and methods that will help explain, predict, and draw recommendations for improving decision making in dynamic situations. They use multiple research methods, including laboratory experiments with complex, dynamic simulations, field observation and data collection, cognitive modeling, and functional Magnetic Resonance Imagery (fMRI).
For graduate students and other applicants interested in my work, please go to the DDMLab for more information.
1996 Ph.D. Management Information Systems, Texas Tech University
1992 M.Sc. Management Information System, Texas Tech University
1990 M.B.A. Business, Universidad de las Americas-Puebla
1986 B.Sc. Business & Engineering, Universidad de las Americas-Puebla