COGST 4250

Translational Research on Decision Making

Course Description

Course information provided by the Courses of Study 2018-2019.

Introductory laboratory-based course focusing on basic foundations in translational research on decision making across the lifespan. The course introduces students to hands-on applications of research skills in the context of research on decision making, spanning basic and applied research in law, medicine, behavioral economics, and policy. It focuses on such topics as human subjects protection, working with populations across the lifespan (e.g., children, seniors), database development, working with external partners and stakeholders (e.g., schools, hospitals), and basic concepts and techniques in decision research. Students participate in weekly laboratory meetings in small teams focused on specific projects as well as monthly meetings in which all teams participate. During laboratory meetings, students discuss ongoing research, plans for new studies, and interpretations of empirical findings from studies that are in progress or have been recently completed. New students work closely with experienced students and eventually work more independently. In order to fully grasp how the research projects fit into the broader field, students read relevant papers weekly and write reaction responses. Because several projects are ongoing at all times, students have the opportunity to be involved in more than one study and are assigned multiple tasks such as piloting research paradigms, subject recruitment, data collection, data analysis, and data entry. Students attend a weekly lab meeting for 1.5 hours per week, read pertinent papers, write reaction responses, and work 10.5 hours per week in the laboratory completing tasks that contribute to ongoing research studies.

When Offered Fall.

Permission Note Enrollment limited to: 20 students.
Prerequisites/Corequisites Prerequisite: HD 1150 or HD 1170 or PSYCH 1101 also HD 2830 and HD 4750 and HD 4760.

• Be able to know and evaluate evidence-based hypotheses.

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