We invite applications  from PhD students, post-doc and researchers to attend the Summer School on “BAYESIAN STATISTICAL ANALYSES FOR THE HUMAN, SOCIAL AND COGNITIVE SCIENCES” jointly organized by the NPSY-Lab.VR, at the Department of Human Sciences, at the University of Verona, and the BASIC-NPSY Research Group.

The use of Bayesian statistics is often claimed to be more widespread and known in the realm of cognitive sciences. However, this approach may be misunderstood and  its application difficult.

The goal of this summer school is to start from the basics of Bayesian Statistical Analysis, to give a comprehensive knowledge of Bayesian Hierarchical Multilevel Methods, and how to get statistical inferences from them.

Finally, the course will be focused on Dynamical Causal Modeling and its applications.

The course will mainly use R and some free packages, and MATLAB, therefore previous knowledge is desiderable.

The Summer School will be held from Monday June 3rd to Saturday 7th, 2018, University of Verona, Verona, Italy

Keynote speakers

Karl J. Friston (University College of London – UK)
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Rosalyn Moran (King’s College London – UK)
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Richard Morey (Cardiff University – UK)
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Marco Tullio Liuzza (“Magna Graecia” University of Catanzaro – Italy)
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Daniele Romano (University of Milano-Bicocca – Italy)
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Michele Scandola (University of Verona – Italy)
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Programme

Summer school programme

“Bayesian Statistical Analyses for the Human, Social and Cognitive Sciences”.

Summer school directors: Valentina Moro & Michele Scandola

Day 1 (monday) 3 June

Time Topic Teacher(s)
8:30 – 9:30 Registration
9:30 – 9:45 Welcome greetings Prof. Valentina Moro
9:45 – 11:00 Introduction to the Bayesian logic for statistical analysis Michele Scandola – Marco Tullio Liuzza – Daniele Romano
11:00 – 11:20 Coffee break
11:15 – 13:00 Introduction to the Bayesian logic for statistical analysis Michele Scandola – Marco Tullio Liuzza – Daniele Romano
13:00 – 14:00 Lunch break
14:00 – 15:00 The brms package Michele Scandola – Marco Tullio Liuzza – Daniele Romano
15:00 – 15:30 Coffee break
15:30 – 18:00 Hands-on Workshop Michele Scandola – Marco Tullio Liuzza – Daniele Romano

Day 2 (tuesday) 4 June

Time Topic Teacher(s)
9:00 – 11:00 Writing your own Bayesian Model: JAGS and STAN (first part) Michele Scandola – Marco Tullio Liuzza – Daniele Romano
11:00 – 11:20 Coffee break
11:20 – 13:00 Hands-on Workshop Michele Scandola – Marco Tullio Liuzza – Daniele Romano
13:00 – 14:00 Lunch break
14:00 – 15:00 Writing your own Bayesian Model: JAGS and STAN (second part) Michele Scandola – Marco Tullio Liuzza – Daniele Romano
15:00 – 15:30 Coffee break
15:30 – 18:00 Hands-on Workshop Michele Scandola – Marco Tullio Liuzza – Daniele Romano

Day 3 (Wednesday) 5 June

Time Topic Teacher(s)
9:00 – 11:00 Basic Bayesian ideas and model comparison Richard Morey
11:00 – 11:20 Coffee break
11:20 – 13:00 Bayesian analysis using BayesFactor Richard Morey
13:00 – 14:00 Lunch break + Poster Session
14:00 – 15:00 Practical BayesFactor in your analysis pipeline Richard Morey
15:00 – 15:30 Coffee break
15:30 – 18:00 Hands-on workshop Richard Morey

Day 4 (Thursday) 6 June

Time Topic Teacher(s)
9:00 – 10:30 ‘Bayesian updating in the brain: analytical approaches in behavioural designs. An implementation example from ‘Dynamics of attentional selection under conflict: toward  a rational Bayesian account.’, Yu, Dayan & Cohen’. Rosalyn Moran
10:30 – 10:40 Coffee break
10:40 – 11:30 An introduction to Variational Bayes for Complex Models & Gradient Descent,  Model fitting in Nonlinear Settings Rosalyn Moran
11:30 – 13:00 Predictive Codes in the Brain & Emergence from Variational Bayes Rosalyn Moran
13:00 – 14:00 Lunch break + Poster Session
SOCIAL EVENTS (forecoming)

Day 5 (Friday) 7 June

Time Topic Teacher(s)
9:00 – 11:00 Dynamic Causal Modelling: an introduction (first part) Karl J. Friston
11:00 – 11:20 Coffee break
11:20 – 13:00 Dynamic Causal Modelling: Bayesian Fusion (second part) Karl J. Friston
13:00 – 14:00 Lunch break + Poster Session
14:00 – 15:00 The Bayesian Brain: Self-evidencing (third part) Karl J. Friston
15:00 – 15:30 Coffee break
15:30 – 18:00 The Bayesian Brain: Active Inference Karl J. Friston

 

How to apply

The Summer School is designed for Ph.D. students, post-doctoral research fellows and early career scholars from a variety of disciplines and approaches within the human, social and cognitive sciences.

Joining the Summer School, participants will be invited to present an original contribution within a poster session format (preferably somehow Bayesian-related), which will be evaluated for the best poster prize!

In order to ease the teacher-students contact, only a maximum of 25 participants will be admitted.

Deadline for applications is April 15, 2019.

Each application must be in English and should include 1) a short CV – max two pages; 2) a motivation letter (max 500 words); 3) – optional but recommended – an abstract (max 350 words) concerning the poster you intend to present at the summer school.

Applications should be sent at bayeshsc2019@ateneo.univr.it

Participants will be selected based on participants’ CV, motivation letter, poster abstract, research interests, and balance within the group regarding gender and geographical origin. Incomplete applications and applications presented in languages other than English will not be considered. Notification of decisions will be sent to applicants via email by the end of April 2019.

Participation fees:

  • Students and Ph.D. students: 300 €
  • Post-docs and researchers: 400 €

 

The Fee includes only the costs for the summer school, accommodation and transportation are excluded.

Deadline for applications is April 15, 2019.