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 May 31st to Saturday June 5th, 2021 online, University of Verona, Verona, Italy.

The summer school lessons are intended to be in-person. However, if the worldwide pandemic situation will not allow it, The summer school will be held on-line (student’s fee: 100 €; post-doc fee: 200 €).

Key Information
Location: University of Verona, Verona, Italy Period: Monday May 31st to Saturday June 5th, 2021
Contact: bayeshsc@ateneo.univr.it Poster: Recommended but not mandatory
Student fee: 200 €100 € Post-doc fee: 300 €200 €
Deadline: March 15th, 2021 Notification of acceptance: April 15th, 2021

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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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Fabio Spizzichino (University of Rome “La Sapienza” – Italy)
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Valentina Moro (University of Verona – Italy)
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Massimiliano Badino (University of Verona – 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

Day 1 (Monday) 31 May

TimeTopicTeacher(s)
8:30 – 9:30Registration 
9:30 – 9:45Welcome greetingsValentina Moro
9:45 – 10:45The probabilistic mechanism of updating information: an introductionFabio Spizzichino
10:45 – 11:00Coffee break 
11:00 – 12:30Bayes Your Way Out of the Rationality ConundrumMassimiliano Badino
12:30 – 14:00Lunch break 
14:00 – 15:00Conditional independence and sufficient partitionsFabio Spizzichino
15:00 – 16:00Markov Chain Monte CarloMichele Scandola
16:00 – 16:30Coffee break 
16:30 – 18:00Bayesian statistics for Virtual Reality studies in psychology and cognitive neuroscienceMel Slater

Day 2 (Tuesday) 1 June

TimeTopicTeacher(s)
9:00 – 11:00Basic Bayesian ideas and model comparisonRichard Morey
11:00 – 11:20Coffee break 
11:20 – 13:00Bayesian analysis using BayesFactorRichard Morey
13:00 – 14:30Lunch break + Poster Session 
14:30 – 15:30Practical BayesFactor in your analysis pipelineRichard Morey
15:30 – 15:45Coffee break 
15:45 – 18:00Hands-on workshopRichard Morey

Day 3 (Wednesday) 2 June

TimeTopicTeacher(s)
9:00 – 10:00A user-friendly software to start with Bayesian Analysis. The basics of JASPDaniele Romano
10:00 – 11:00The brms package and (generalized) linear multilevel modelsMichele Scandola
Marco Tullio Liuzza
11:00 – 11:20Coffee break 
11:20 – 13:00Bayesian approaches to psychometrics using brmsMarco Tullio Liuzza
13:00 – 14:30Lunch break 
14:30 – 15:15Bayesian approaches to psychometrics using brms Marco Tullio Liuzza
15:15 – 15:30Coffee break 
15:30 – 18:00Hands-on WorkshopMarco Tullio Liuzza
Daniele Romano
Michele Scandola

Day 4 (Thursday) 3 June

TimeTopicTeacher(s)
9:00 – 11:00Writing your own Bayesian Model: JAGS and STAN (first part)Michele Scandola
11:00 – 11:20Coffee break 
11:20 – 13:00 Writing your own Bayesian Model: JAGS and STAN (second part)Michele Scandola
13:00 – 14:00Lunch break 
14:00 – 15:00Writing your own Bayesian Model: JAGS and STAN (third part) Michele Scandola
15:00 – 15:30Coffee break 
15:30 – 17:00Hands-on workshopMichele Scandola
Marco Tullio Liuzza
Daniele Romano
17:00 – 18:00 The bmscstan package: Bayesian Multilevel Single Case analysis Daniele Romano
Michele Scandola

Day 5 (Friday) 4 June

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

Day 6 (Saturday) 5 June

TimeTopicTeacher(s)
9:00 – 10:30Group Studies using Bayesian StatisticsRosalyn Moran
10:30 – 10:40Coffee break 
10:40 – 11:30DCM Practical IRosalyn Moran
11:30 – 13:00DCM Practical IIRosalyn Moran

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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, 2021.

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, 2021.

Face-to-face Participation fees:

    • Students and Ph.D. students: 100 €
    • Post-docs and researchers: 200 €

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

These fees will be applied only if the Summer School will be held face-to-face.

If the pandemic situation will require an Online version, the fees will be for Students and Ph.D. students: 100 €, for Post-docs and researchers: 200 €.

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

Deadline for applications is March 15, 2021.