Provisional Program

Day 1

10:00 Introduction
10:15 Udo Böhm – Basic Bayes
11:00 Andrew Heathcote – Evidence Accumulation Models (EAMs) – Introduction
12:00 Lunch
13:00 Andrew Heathcote – Fitting the Diffusion Model
15:00 Break
15:15 Andrew Heathcote – Fitting Race Models
16:00 Revision, Q&A and exercises
17:00 Drinks at CREA

Day 2

09:30 Niek Stevenson – Hierarchical Models
12:00 Lunch
13:00 Dora Matzke/Sarah Kemp – Stop-signal models
15:00 Break
15:15 Dora Matzke – Disentangling Within- and Between-Subject Correlations in Cognitive Models
16:00 Revision, Q&A and exercises

Day 3

09:30 Andrew Heathcote – Expressing Psychological Theories
10:30 Amir Hosein Hadian – Circular Diffusion Models
12:00 Lunch
13:00 Niek Stevenson – Joint Modelling Across Tasks
14:00 Steven Miletic – Joint Modelling with fMRI
15:00 Break
15:15 Steven Miletic – Joint Modelling with fMRI
16:00 Revision, Q&A and exercises

Day 4

09:30 Niek Stevenson – Modelling Individual Differences using SEM
11:00 Steven Miletic – Time-varying EAMs
12:00 Lunch
13:00 Steven Miletic – Reinforcement-learning EAMs
15:00 Break
15:15 Niek Stevenson – Building Cognitive Architectures
16:00 Q&A, your data, and exercise

Day 5: BayesFlow

09:30 Stefan Radev Introduction to simulation-based inference
10:30 Stefan Radev Amortized Bayesian workflow
11:00 Stefan Radev Amortized Bayesian inference in action
12:00 Lunch
13:00 Stefan Radev– Superstatistics and agentic skills
14:00 Michael Nunez – Joint Modelling with M/EEG
15:00 Break
15:15 Michael Nunez – Joint Modelling with M/EEG using BayesFlow
16:00 Closing Remarks