About the lab

For experiments in IBEX, we put a group of participants in a room at a computer. Each
participant is assigned their individual role in the process. Each role is connected to
several tasks that are completed on the computer. After the first group of participants,
we repeat the experiment a few more times with new groups. By changing the rules of
the game between sessions, we can eventually discern the causal effects of rule
changes on the decisions made. IBEX can be used for research on a variety of topics. For
example, to test designs of the energy market with an eye towards the energy
transition, or looking at decision-making processes related to treatment methods in
health care, or tenders for infrastructure. As long as there is a decision-making
component which you want to explore in a controlled environment the lab could be a
useful tool. In addition to the complete lab, we also offer individual components and
you can also only make use of the subject pool.

Read more about the lab in this interview with one of the initiators:

Behavioral experiments

Every experiment has roughly the same setup. The researcher has a question about how a certain mechanism works or some contextual factor influences the choices and behavior of individuals or groups. The experimenter designs (at least) two treatments where subjects perform some experimental task. The difference between the treatments is limited on purpose, while subjects are assigned to the treatments at random. This way, any differences in behaviors or outcomes between the treatments can only be due to chance, or the small difference between the treatments. Statistics can then give us some clarity on which explanation is most likely. Essentially, this is to behavioral sciences what the Randomized Controlled Trial is to medicine, a way to zoom in on specific aspects of behavior in a controlled setting.

Behavioral experiments

Every experiment has roughly the same setup. The researcher has a question about how a certain mechanism works or some contextual factor influences the choices and behavior of individuals or groups. The experimenter designs (at least) two treatments where subjects perform some experimental task. The difference between the treatments is limited on purpose, while subjects are assigned to the treatments at random. This way, any differences in behaviors or outcomes between the treatments can only be due to chance, or the small difference between the treatments. Statistics can then give us some clarity on which explanation is most likely. Essentially, this is to behavioral sciences what the Randomized Controlled Trial is to medicine, a way to zoom in on specific aspects of behavior in a controlled setting.