SpringSchool2020

International Spring School on Methods of Social Network Analysis with R

.

NOTICE: PISA SPRING SCHOOL POSTPONEMENT
Due to the particular situation with regard to the spreading of the
Covid-19, the Spring School on “Methods of Social Network Analysis
with R
“, scheduled for April 20 to 24, is temporarily suspended. 
The decision is necessary to protect everyone’s health and to encourage a
more serene and less difficult participation.

The hypothesis on which we are working on is to realize the Summer
School from July 6 to 10 or the following week
Further information will be provided shortly.
Those who have already paid will be refunded their fees if they are
not available to participate on the dates that will be scheduled.
Please contact the organizers for details.

The new application deadline is: 31 May 2020

Submission date: March 31st, 2020

Submission link: https://www.unipi.it/index.php/how-to-apply

Presentation

After the success of three edition of the International Workshop “Introduction to Social Network Analysis”, the Department of Political Science of the University of Pisa is now organizing an International Spring School on Methods of Social Network Analysis with R. The Spring School helps participants who are in the midst of a SNA research project or engaged in analysing network data for an earlier study. We will briefly discuss how to create a rendering of the participants’ work that increases the power of their analysis, using the most recent and powerful tools offered by software packages such as “Statnet”.

Hi folks, I am Andrea Salvini, the organizer of the Spring School on “Methods of Social Network Analysis with R”.
Sunbelt 2019, Montreal

The Spring School it will be a five-day, intensive course mainly devoted to introducing participants to Social Network Analysis with a practical approach, and with the aim to giving answer to questions such as “how do you research”, “how to collect, analyse and interpret social network data”, using the “R” environment, especially the package “Statnet”. Join us at the Spring School and be an active learner in our classes and in our collaborative groups. Meet interesting people you can interact with and discuss topics of your own interest concerning SNA methods and how to give answer to your daily research problems. Attending the International Spring School on “Methods of Social Network Analysis with R”, students become members of a scientific community based on the continuous exchange and comparison between knowledge and experience.

The University of Pisa will acknowledge to each participant 4 ETCS, and you’ll use them at your own convenience

Teacher Dr Lorien Jasny

I am a computational social scientist in the Department of Politics at the University of Exeter. My work focuses on questions of public involvement and engagement in environmental decision making. In my research I explore two related themes – how the structure and dynamics of inter-organizational networks affect policy change, and how the structure and dynamics of belief networks affect behavioral change. Substantively, I study how people try to bring about societal change in response to political and environmental concerns. Methodologically, the need to grapple with these often complex phenomena requires the use and development of techniques for handling large, dynamic, and relational datasets. I have a long experience in teaching introductory and advanced courses in Social Network Analysis.

Program

More detailed information on workshop program will follow.

Important Dates

The new application deadline is: 31 May 2020

Deadline:  March 31st, 2020

Spring School dates: April 20-24, 2020

How to apply: Fees and Payment

Participant

A max number of 40 participants – that can be eventually increased to 50

Fees

  • 500 euro (full): Professors, Researchers, Professionals (enrolled in Universities, Institutions and Companies);
  • 450 euro: PhD Students;
  • 375 euro: Undergraduate and Postgraduate students.

Fee includes course materials and social event. Travel, accommodation and food are on your own expenses

Bank transfer to the following account:

Università di Pisa
Dipartimento di Scienze Politiche

Banca di Pisa e Fornacette- Credito Cooperativo S.c.p.A.

IBAN: IT73N0856270910000011156627
BIC/SWIFT: BCCFIT33

Causale/reason for payment: Spring School on Methods of Social Network Analysis with R/ Name of participant

All payments must be made in EURO. Any bank charges must be covered by participant.

Scholarship: The University of Pisa and the Spring School provide for a scholarship, whose amount will cover the fee

How to apply: Enrollment

Enrolment Here:

https://www.unipi.it/index.php/how-to-apply

You are required to go through the following procedural steps:

REGISTRATION: connect to the Alice portal and register:

https://www.studenti.unipi.it/Home.do;jsessionid=1B312E4508F3E81C06829D041DD428A0?cod_lingua=eng

Please read it carefully and follow the instructions step by step

Required documents:

  • Identity Document (“PASSPORT in case you are a foreign student”)
  • Enrolment Form
  • Curriculum Vitae

ALL THE DOCUMENTS MUST BE IN PDF FORMAT, IN ORDER TO UPLOAD THEM ON THE PORTAL WHEN REQUIRED

Please remember that the enrolment procedure will be complete only after the payment of the fee

More informations: https://www.unipi.it/index.php/society-economics-and-law/item/16597-methods-social-network-analysis-

Contacts

Prof. Andrea Salvini:  andrea.salvini@unipi.it 
Dr. Antonietta Riccardo: antonietta.riccardo@phd.unipi.it 
Dr. Irene Psaroudakis: irene.psaroudakis@sp.unipi.it 

Summer/Winter School Office support.summerschool@adm.unipi.it 

Accomodation

If you’re looking for a cheap accommodation, we suggest to contact:

Residence “Le Benedettine”
http://it.residence.unipi.it/home_it/

Bed & Breakfast in Pisa
http://www.bed-and-breakfast.it/it/pisa