• A Strategic Initiative

    for the University of Pavia
  • Local and National factors

    in the right place
prev next


2017 SUMMER SCHOOL on “BIG DATA, NEUROSCIENCE AND LAW”

 

Applications | Scholarships

 

The Summer School on Big data, Neuroscience and Law is open to scientists and non scientists.

Basic scientific information is provided, on Neuroscience and Big Data, for non scientists while basic law concepts are discussed for non-lawyers.

The core of the activity is devoted to the intersection between law, ethics, neuroscience and new technologies, in an integrative perspective.

The aim of the school is to provide accurate information about the increasingly advanced neuroscientific findings and Big Data techniques, and their impact on each other and on different legal systems.

The interaction of the three main topics and the debate about the role of science in shaping ethics and law has been influenced by their recent advancements. Therefore, special focus is given to how science and technology challenge law and its ability to evolve

University and continuing education Credits

The course provides 3 CFU for students of the UniPV Doctorate Program in Bioengineering and Bioinformatics.

36 Credits for Continuing Education have been awarded to the full frequency to the course by the Pavia Order of Engineers.

 

Program in detail

Day 1-11.09.2017     
09.00-09.45 Riccardo Bellazzi University of Pavia Big data: definition and problems
09.45-10.30 Francesco Beltrame University of Genova Neuroinformatics: state_of_art and vision about the future
10.30-11.00 Coffee Break    
11.00-11.45 Gabriella Bottini University of Pavia Neuroscience: a big data problem (clinical and scientific introduction)
11.45-13.00 Amedeo Santosuosso University of Pavia Law and big data
13.00-14.00 Lunch Break    
14.00-16.15 Lewis Frey Medical University of South Carolina - USA Big Data basics
14.00-16.15 Gerardo Salvato University of Pavia Neuroscience basics
14.00-16.15 Barbara Bottalico University of Pavia Law basics
16.15-16.30 Coffee Break    
16.30-17.30 Lewis Frey Medical University of South Carolina, USA Big Data basics
16.30-17.30 Gerardo Salvato University of Pavia Neuroscience basics
16.30-17.30 Barbara Bottalico University of Pavia Law basics
17.30-18.00 Gabriella Bottini University of Pavia Afternoon Recap
Day 2-12.09.2017     
09.00-09.45 Lewis Frey Medical University of South Carolina, USA Big data methods, tools and architectures
09.45-10.30 Ferath Kherif Université de Lausanne, CH Medical Informatics and Federated Data Analysis in Neuroscience Networks
10.30-11.00 Coffee Break    
11.00-12.00 Eraldo Paulesu Milano Bicocca University Cognitive aspects in Neuroscience
12.00-13.00 Francesco Leporati University of Pavia Computational challenges in Neuroscience
13.00-14.00 Lunch Break    
14.00-15.15 Egidio D’Angelo University of Pavia Usecases: The human brain project
15.15-16.30 Gerardo Salvato, Gabriella Bottini University of Pavia Experimental tools and hands on: Neuroscience behavioral and instrumental investigations
16.30-16.50 Coffee Break    
16.50-18.00 Lucia Sacchi University of Pavia Group Assignment: Define a big data ecosystem to support neuroscience investigations
Day 3-13.09.2017     
09.00-09.45 Claudia Gandini University of Pavia The need for brain connectomics and the role of structural and functional MRI
09.45-10.30 Federica Lucivero Big Data Institute – Oxford Big data and biomedical research: when epistemology and ethics intertwine
10.30-11.00 Coffee Break    
11.00-13.00 Barbara Bottalico University of Pavia Big Data, Privacy and Workplace
13.00-14.00 Lunch Break    
14.00-16.30 Lucia Sacchi University of Pavia Group Assignment: Define a big data ecosystem to support neuroscience investigations
16.30-18.30 History walk    
Day 4-14.09.2017     
09.00-10.30 Daniela Ovadia University of Pavia Ethics of Neuroscience
10.30-11.00 Coffee Break    
11.00-13.00 Marco Monti IBM Research Big data, Cognitive computing, autonomous reasoning and AI
13.00-14.00 Lunch Break    
14.00-16.15 Castano Silvana University of Milan  “Experimental tool on Big-Data and Law" Hands-on - part-1
16.15-16.30 Coffee Break    
16.30-18.00 Castano Silvana University of Milan  “Experimental tool on Big-Data and Law" Hands-on - part-2
Day 5-15.09.2017     
09.00-10.30 Amedeo Santosuosso University of Pavia Big data, neuroscience and law; a critical appraisal
10.30-11.00 Coffee Break    
11.00-13.00 all students of the school (needed for the ECTS credits) Presentation of the group assignments
13.00-14.30 Lunch Break    
14.30-16.30 Riccardo Bellazzi, Gabriella Bottini University of Pavia Wrap up and conclusions
      Questionnaires to assess the quality and usefulness of the school

Can I attend the School?

The course is designed for graduate (master-degree) students, PhD students and early-stage researchers enrolled in the faculties of Law, Philosophy, Neuroscience, Medicine, Psychology, Computer Science, Biomedical Engineering and social-political sciences, and correspondent professionals in an early stage of their careers.

Good English language fluency (at least B2 level) is mandatory.

Because of the interactive nature of the course, the number of participants is limited to 40.

 

Applcations are closed since July 31st.

Answers will be sent by August 08, 2017

 

Registration fee and scholarships:

Registration is free for University of Pavia students.

For other participants, registration fee is € 200,00.

Ten scholarships covering the registration fee plus accommodation for five nights in one of UniPV campus’ structures (for participants external to UniPV) are available.

The selected participants are in charge of arranging and paying their own travel and accommodation in Pavia, Italy.

The International office the University of Pavia will provide information about housing solutions in Pavia.

The registration fee includes:

  • Course tuition

  • Lunches and Coffee breaks

  • Course attendance certificate 

  • Course materials (downloadable for 30 days after the course)

Evaluation:

The assessment for admission to the school and for grant eligibility will be made on the basis of the candidates’ qualifications and CV, fluency in English, academic records and motivation.

Fluency will be evaluated in a call with a member of the selection committee.

The selection committee is composed by the scientific committee of the school.

Sponsored By:

 

Directors:

Prof. Riccardo Bellazzi - Big data and health IT(CHT, UniPv)

Prof. Gabriella Bottini - Neuroscience (CFNNS, UniPv)

Prof. Amedeo Santosuosso - Law and technologies (ECLT, UniPv)

Scientific committee:

Prof. Riccardo Bellazzi (CHT, UniPv)

Prof. Gabriella Bottini (CFNNS, UniPv)

Prof. Amedeo Santosuosso (ECLT, UniPv)

Dr. Barbara Bottalico (ECLT, UniPv)

Dr. Lucia Sacchi (CHT, UniPv)

Organisation and secretariat:

Federico Dagostin (CHT, UniPv)

Prof Riccardo Bellazzi - Big data and health IT (CHT, UniPv),

Prof Gabriella Bottini - Neuroscience (CFNNS, UniPv),

Prof. Amedeo Santosuosso - Law and technologies (ECLT, UniPv)