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Risk and Decision Making Laboratory

The science of how people make decisions at work

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Understanding Decision Making at Work

Founded in 2016 by Dr. Don Zhang, the Risk and Decision Making Lab is housed in Louisiana State University, Department of Psychology. We conduct research on how people make decisions at work, with a focus on risk and decision making. Our mission is to understand the cognitive, personality, and organizational influences on decision making at work. We are committed to conducting rigorous, high-quality research that has practical implications for organizations and individuals.

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Research Programs

Individual Differences

Risk Propensity and Work

We study how individual differences in risk propensity affects outcomes at work and in life. Our research explores both the bright side of risk propensity (e.g., creativity) and the dark side (e.g., deviance).

Cognitive Science

Decision Modeling

We are interested in applying cognitive and decision models to how people make decisions at work.

Talent

Employee Selection

We develop and advocate for evidence-based tools and methods for identifying, recruiting, and placing talent at work.

Science Communication

Scientist-Practitioner Gap

We use consumer friendly methods to communicate scientific evidence to deliver evidence based findings to relevant stakeholders.

AI

Large Language Models

We use modern LLMs to understand psychological mechanisms underlying decision making processes at work.

Meta-Science

Replicability

We are interested in the replicability of scientific research and how to conduct research that is robust, reproducible, and trustworthy.

Publications

Research Tools & Scales

GRiPS

General Risk Propensity Scale - A validated measure of individual differences in risk-taking propensity across various domains.

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CASPRT

Composite Anticipated and Subjective Probability of Risk Taking - A comprehensive assessment of risk perceptions and tendencies.

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Risk Propensity at Work Meta-Analysis

A comprehensive meta-analytic investigation on the construct validity of risk propensity at work, integrating insights from decision science and large language models.

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Meet Our Researchers

Dr. Don Zhang

Don C. Zhang, PhD

Principal Investigator

Tyler Cowley

Tyler Cowley

Ph.D. Student (Sixth Year)

Katelyn Reeves

Katelyn Reeves

Ph.D. Student (Fourth Year)

Niloufar Dodangeh

Niloufar (Nilou) Dodangeh

Ph.D. Student (Second Year)

Abby Martin

Abby Martin

Undergraduate Research Assistant

Caleb Kidder

Caleb Kidder

Undergraduate Research Assistant

London Greenfield

London Greenfield

Undergraduate Research Assistant

Maddie Nguyen

Maddie Nguyen

Undergraduate Research Assistant

Latest News

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Get in Touch

We're always looking for talented individuals and collaborators. Whether you're interested in joining our lab, participating in research, or partnering with us, we'd love to hear from you.

Location

Audubon Hall, Rooms 9 and 10
Louisiana State University
Baton Rouge, LA 70803

Email

zhang1@lsu.edu

For general inquiries and collaboration opportunities

Join Our Lab

We offer various opportunities to engage with our research

Research Assistants

Undergraduate students can join our lab as research assistants. Gain hands-on experience with literature reviews, data analysis, experiment design, and manuscript preparation.

Requirements: GPA 3.5+, 3-6 hours/week commitment, two-semester minimum

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Graduate Students

We're accepting graduate applications for students interested in risk-taking, decision-making, and employee selection research.

What we look for: Intense curiosity, evidence-driven mindset, self-starter attitude

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Research Participants

Volunteer as a research participant and contribute to our scientific investigations. Studies include online surveys, laboratory experiments, and decision-making tasks.

Compensation: $10-$40 per study, 30-90 minutes

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Industry Partners

We collaborate with organizations on applied research, employee selection tools, risk assessment practices, and decision-making workshops.

Services: Consulting, tool development, workshops, applied research

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