Project Availability
- Team Size
- 5 team members
- Open Spots
- 5 spots open
- Affiliations
- College of Sciences
- Semester
- Fall 2027
- Team Leader
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Swarna Hansi Munasinghe
Security Studies
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- Faculty Mentor
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Jacopo Baggio, PhD
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Team Member Qualifications
Students with interests or experience in psychology, human factors, cybersecurity, intelligence, security studies, aviation, or related areas are preferred. Experience with participant recruitment, survey administration, interviews, literature reviews, or basic data analysis would be useful. Applicants who are involved with relevant student organizations, academic programs, laboratories, or professional networks and can assist with identifying potential participant pools are especially encouraged to apply.
Required: No specialized professional experience is required. Applicants should be reliable, willing to learn, and able to follow research protocols. Team members involved in human-subjects research will be required to complete the appropriate CITI training before participating in recruitment or data collection.
Description
This project examines why individuals with similar training, experience, procedures, and access to information can make different decisions in high-stakes security environments. Existing research has identified cognitive biases, stress, workload, expertise, and organizational factors as important influences on decision-making, but these factors do not fully explain variation between similarly situated individuals. The project will investigate the cognitive and human factors that may account for these differences, with particular attention to how individuals interpret information, verify automated or uncertain information, adapt under pressure, and recover from potential judgment errors. The research is expected to use a mixed-methods approach combining quantitative analysis with qualitative interviews or decision-based case analysis. The broader goal is to develop a clearer explanation of individual differences in security decision-making that can contribute to research on human factors, cognitive security, and organizational resilience.