Provisional Program

Day 1: Workshop day

10:00 Introduction
10:15 Udo Böhm – Basic Bayes
11:00 Andrew Heathcote – EMC basics with the Wiener Diffusion Model (WDM) 
12:00 Lunch
13:00 Andrew Heathcote – Model Parsimony
13:30 Andrew Heathcote – EMC basics with the Diffusion Decision Model (DDM) and Race Models
15:00 Coffee/Tea
15:15 Niek/Andrew – Revision, Q&A and exercises
16:00 Russell Boag – Evidence-accumulation models in the wild
17:00 Drinks at CREA

Day 2: Workshop Day

10:00 Niek Stevenson – What are Hierarchical Models
10:30 Niek Stevenson – Hierarchical EAM in EMC2
12:00 Lunch
13:00 Niek Stevenson – Covariates and group-level inference
15:00 Coffee/Tea
15:15 Andrew Heathcote – Revision, Q&A and exercises
16:00 Michelle Donzallaz – Using hierarchical models to guard against spurious conclusions

Day 3: Workshop Day

10:00 Niek/Andrew – Parameter and model recovery including SBC
12:00 Lunch
13:00 Andrew Heathcote – Building new models
14:00 Niek Stevenson – Joint models
15:00 Coffee/Tea
15:15 Niek/Andrew – Revision, Q&A and exercises

Day 4: Neuroscience track

10:00 Udo Böhm – Plausible values and noisy covariates
12:00 Lunch
13:00 Steven Miletic – Introduction to model-based fMRI
14:00 Steven/Niek – Joint modelling of fMRI and behavior in EMC2
15:00 Coffee/Tea
15:15 Steven/Niek – Joint modelling of fMRI and behavior in EMC2
16:00 Steven/Niek – Q&A, your data, and exercise

Day 4: Advanced Cognition track

10:00 Udo Böhm – Plausible values and noisy covariates
12:00 Lunch
13:00 Dora Matzke – Stop-signal models in the wild
14:00 Michelle Donzallaz – Stop-signal modelling
15:00 Coffee/Tea
15:15 Michelle Donzallaz – Stop-signal modelling
16:00 Michelle/Andrew – Q&A, your data, and exercise

Day 5: Neuroscience track

10:00 Michael Nunez – Introduction to M/EEG
11:00 Michael Nunez – Alternative strategies for joint modelling
12:00 Lunch
13:00 Michael Nunez – Joint modelling exercises in JAGS/Stan
14:10 Coffee/Tea
14:25 Michael Nunez – Joint modelling exercises in BayesFlow
15:35 Coffee/Tea
15:50 Closing discussion

Day 5: Advanced Cognition track

10:00 Russell Boag – Specifying feed-forward evidence theories
11:30 Russell Boag –  Learning curves
12:00 Lunch
13:00 Steven Miletic – Introduction to Reinforcement Learning and Adaptive EAMS
13:30 Steven Miletic – Reinforcement learning and Adaptive models
15:35 Coffee/Tea
15:50 Closing discussion