The Judgment and Decision-Making Research Lab at UC Berkeley, led by Professor Ellen Evers, explores the cognitive science, psychology, consumer behavior, and behavioral economics behind human decision-making, biases, and judgment formation. Our research investigates how people make choices, form opinions, and assess risks in contexts like consumer behavior, social interactions, and economic decision-making. By integrating cognitive psychology, social psychology, and experimental behavioral research, we seek to understand the underlying mechanisms of human behavior.
The lab conducts online and in-person experiments to test decision-making theories, focusing on areas such as heuristics and biases, risk perception, moral and ethical decision-making, and social influences on judgment. Our studies involve experimental design, data analysis, and insight generation, helping us understand why people make certain choices and how external factors influence decision-making.
Attendance at planned in-person weekly meetings is mandatory.
Examples of some of our projects include:
Memories for sale: What psychological factors drive consumers' souvenir purchases? Are people rational in selecting souvenirs that can best preserve their memories over time?
Framing: How do people's choices change depending on the framing of the situation?
Communication choices in advertising: What do people infer from companies' choice of words in advertising?
Topics are subject to change, and additional topics may be added over the course of the semester.
Role: Accepted students will work on developing materials for studies, carrying out the studies by running participants through them, finding relevant literature, and/or analyzing their data. We also expect to have mandatory, weekly in-person lab meetings, with instruction on the above.
Qualifications: Interested in psychology and decision making, responsible, and willing to learn. We do not require prior psychology research experience to apply. Our work involves a wide range of different activities, so a wide range of backgrounds can be useful.
Day-to-day supervisor for this project: Kristine Cho, Graduate Student