Understanding Conflict with a Socio-Cognitive Computational Approach
	Training Dynamic Decision Making in Mine Emergency Situations
	Hypothesis Generation & Reasoning in Dynamic Cyber SA Decision Making
	Training Decision Making Skills
	Cognitive Process Modeling and Measurement in Dynamic Decision Making
	Hypothesis Generation & Feedback in Dynamic Decision Making
	Learning & Adaptation in Complex Decision Making Situations
	Neural Basis of Decision Making

Former Sponsored Projects

Facilities, Methods, & DMGames

	Facilities & Methods
	DMGames

	Dynamic Climate Change Simulator (DCCS)
	Dynamic Stocks & Flows (DSF)
	The Water Purification Plant (WPP)
	FIRECHIEF
	Beer Game
	MEDIC

Project Researchers: Cleotilde Gonzalez (PI) & Mike Yu (Doctoral Student) External Collaborators: None Funding Source: National Institute of Occupational Safety and Health (NIOSH)

Overview

The research will integrate the theoretical knowledge of human decision making in dynamic situations with the practical aspects of training miners. The research will result in the improved science of decision making and practical guidelines and tools that demonstrate how to best train decision making in the unique conditions of accidents when under workload, uncertainty, and time constraints.

The Dynamic Decision Making Laboratory is part of the Social and Decision Sciences Department,  Carnegie Mellon University. For updates and comments, please email hauyuw@andrew.cmu.edu.