The Summer Institute on Bounded Rationality brings together talented early-career researchers and renowned scientists from around the globe and aims to spark a dialogue about decision making under the real-world constraints of limited time, information, and computational power. The program covers the fundamentals, methodology, and recent findings on bounded rationality. The 2025 Summer Institute approached the digital world through the lens of bounded rationality and interdisciplinary research on human decision making..

Learned a selection of advanced programming techniques and best practices which are standard in the industry, but especially tailored to the needs of a programming scientist. Topics included: Large-scale collaborative scientific code development with git and code forges, testing and debugging scientific code, scientific programming patterns in Python, and writing parallel applications in Python.

Explored the theory behind Bayesian data analysis, and common models in the social sciences, like t tests, ANOVA, and regression. Advanced to more complicated models such as Markov Chain Monte Carlo (MCMC) methods, which give Bayesian methods their immense flexibility and power. Explored tools to fit a wide variety of models easily, through the use of the JAGS and stan software.

Modules 1 consisted of a series of units based around biological examples which are supported with mathematical background reading: The examples show how the maths techniques can be used to model and analyse biological systems, with code examples of computer programming. Learnt hands-on coding using MATLAB for function handling and modelling and R for doing statistics. An extensive mathematical background section is included.

Online course designed to improve your approach to statistical thinking. Produced by TU/e Technical University Eindhoven instructed by Daniel Lakens.

Online course designed to improve both inferences in statistical analyses. Produced by TU/e Technical University Eindhoven instructed by Daniel Lakens.