Decision Sciences is an interdisciplinary field combining insights from economics, forecasting, statistical decision theory, and cognitive psychology.
How should a rational person make decisions?
This normative perspective, rooted in economics, provides a benchmark for evaluating decision-making processes.
How do people actually make decisions?
Research reveals that individuals often rely on heuristics and shortcuts, demonstrating “bounded rationality.”
How can decision-making be improved?
By leveraging insights from both rational models and real-world behavior, researchers develop techniques to enhance decision-making, from improving statistical intuition to applying quantitative analysis.
The Decision Sciences faculty brings a diverse range of expertise, integrating perspectives from mathematics, statistics, economics, and psychology to address these complex challenges.
Ideal candidates have strong foundations in economics, mathematics, statistics, or related fields, with exceptional academic records in rigorous disciplines and a passion for theoretical research.
Applicants may have little to no work experience or come from professional backgrounds in research, consultancy, or industry. While prior research experience is not required, it can be beneficial.
