We invite applications  from PhD students, post-doc and researchers to attend at the Second Edition of 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 8th to Saturday 13th, 2020, University of Verona, Verona, Italy.

Key Information
Location: University of Verona, Verona, Italy Period: Monday June 8th to Saturday 13th, 2020
Contact: bayeshsc@ateneo.univr.it Poster: Recommended but not mandatory
Student fee: 300 € Post-doc fee: 400 €
Deadline: March 15th, 2020 Notification of acceptance: April 15th, 2020

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Keynote Speakers

Rosalyn Moran (King’s College London – UK)
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Richard Morey (Cardiff University – UK)
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Mel Slater (University of Barcelona – Spain)
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Valentina Moro (University of Verona – Italy)
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Massimiliano Badino (University of Verona – Italy)
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Fabio Spizzichino (University of Rome “La Sapienza” – Italy)
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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) 8 June

Time Topic Teacher(s)
8:30 – 9:30 Registration  
9:30 – 9:45 Welcome greetings Valentina Moro
9:45 – 10:45 The probabilistic mechanism of updating information: an introduction Fabio Spizzichino
10:45 – 11:00 Coffee break  
11:00 – 12:30 Bayes Your Way Out of the Rationality Conundrum Massimiliano Badino
12:30 – 14:00 Lunch break  
14:00 – 15:00 Conditional independence and sufficient partitions Fabio Spizzichino
15:00 – 16:00 Markov Chain Monte Carlo Michele Scandola
16:00 – 16:30 Coffee break  
16:30 – 18:00 Bayesian statistics for Virtual Reality studies in psychology and cognitive neuroscience Mel Slater

Day 2 (Tuesday) 9 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 – 14:30 Lunch break + Poster Session  
14:30 – 15:30 Practical BayesFactor in your analysis pipeline Richard Morey
15:30 – 15:45 Coffee break  
15:45 – 18:00 Hands-on workshop Richard Morey


Day 3 (Wednesday) 10 June

Time Topic Teacher(s)
9:00 – 10:00 A user-friendly software to start with Bayesian Analysis. The basics of JASP Daniele Romano
10:00 – 11:00 Introduction to (generalized) linear multilevel models Michele Scandola
Marco Tullio Liuzza
11:00 – 11:20 Coffee break  
11:20 – 13:00 The brms package Michele Scandola
Marco Tullio Liuzza
13:00 – 14:30 Lunch break  
14:30 – 15:15 Hands-on Workshop Michele Scandola
Marco Tullio Liuzza
Daniele Romano
15:15 – 15:30 Coffee break  
15:30 – 18:00 Hands-on Workshop Michele Scandola
Marco Tullio Liuzza
Daniele Romano

Day 4 (Thursday) 11 June

Time Topic Teacher(s)
9:00 – 10:00 Bayesian approaches to inference in the investigation of the relationship between sensitivity to disgust for body odors and social attitudes. Marco Tullio Liuzza
10:00 – 11:00 Writing your own Bayesian Model: JAGS and STAN (first part) Michele Scandola
11:00 – 11:20 Coffee break  
11:20 – 13:00 Writing your own Bayesian Model: JAGS and STAN (second part) Michele Scandola
13:00 – 14:00 Lunch break  
14:00 – 15:00 Hands-on Workshop Michele Scandola
Marco Tullio Liuzza
Daniele Romano
15:00 – 15:30 Coffee break  
15:30 – 17:00 Writing your own Bayesian Model: JAGS and STAN (third part) Michele Scandola
17:00 – 18:00 Hands-on Workshop Michele Scandola
Marco Tullio Liuzza
Daniele Romano

Day 5 (Friday) 12 June

Time Topic Teacher(s)
9:00 – 10:30 Bayesian updating in the brain: analytical approaches in behavioural designs and applications to computational psychiatry Rosalyn Moran
10:30 – 10:40 Coffee break  
10:40 – 11:30 An introduction to Model fitting in Nonlinear Settings Rosalyn Moran
11:30 – 13:00 Predictive Codes in the Brain & Emergence from Variational Bayes Rosalyn Moran
13:00 – 14:30 Lunch break  
14:30 – 15:30 Dynamic Causal Modelling: an introduction (first part) Rosalyn Moran
15:00 – 15:30 Coffee break  
15:30 – 18:00 Dynamic Causal Modelling for EEG (second part) Rosalyn Moran

Day 6 (Saturday) 13 June

Time Topic Teacher(s)
9:00 – 10:30 Group Studies using Bayesian Statistics Rosalyn Moran
10:30 – 10:40 Coffee break  
10:40 – 11:30 DCM Practical I Rosalyn Moran
11:30 – 13:00 DCM Practical II Rosalyn Moran

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 have the possibility to present an original contribution within a poster session format (preferably somehow Bayesian-related), which will be evaluated for the best poster prize! This is not mandatory but can be a great opportunity for all the students.

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

Deadline for applications is March 15, 2020.

Each application must be in English and should include

    1.  a short CV – max two pages;
    2.  a motivation letter (max 500 words);
    3. fill this questionnaire (http://survey.univr.it/index.php/864847)
    4.  – optional but recommended – an abstract (max 350 words) concerning the poster you intend to present at the summer school.

Here the template of the abstract.

Applications should be sent at bayeshsc@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, with a preference for profiles with MATLAB and R experience. Incomplete applications and applications presented in languages other than English will not be considered.

PLEASE CLEARLY STATE YOUR INSTITUTION, ITS ADDRESS, COUNTRY AND OFFICIAL EMAIL IN YOUR CV.

Notification of decisions will be sent to applicants via email the April 15, 2020.

Participation fees:

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

The Fee includes the costs for the entire summer school and coffee breaks.

The city of Verona offers several options for accommodation and beautiful places to visit.

Deadline for applications is March 15, 2020.