Experimental Methods: Design, Decisions, and Discovery

About

Experience a concentrated week on experimental methods: examine how individuals and organizations make decisions, interact, and exchange goods and services while working with core tools such as causal inference, design, validity, and field methods. You engage in novel projects or deepen and refine your existing ones

Course leader

Prof. Sascha Füllbrunn and ass. Prof. Jan Schmitz

Target group

Advanced Bachelor, Master, PHD, Postdoc, Professional.

It would be helpful to have some scientific background to better understand respective terms. However, we welcome everyone who wants to run experiments but might reject an admission if we think the candidate will have difficulties

Course aim

1. You can design an experimental framework that applies principles of causal inference, randomization, and control to a clearly defined question in a laboratory or field context.
2. You can analyse individual decision-making, preference elicitation, and strategic interaction by applying appropriate experimental tasks and interpreting behavioural data at an intermediate level.
3. You can evaluate the validity and feasibility of different experimental designs by assessing internal and external validity, ethical considerations, and practical constraints.
4. You can critically reflect on the role of experimental methods within by comparing laboratory, market, and partner-based designs and articulating their strengths and limitations for answering specific research questions

Fee info