International Spring School on Methods of Social Network Analysis with R
We know that everyone has a lot on their mind with recent events surrounding the COVID-19 pandemic. We hope that everyone is safe, healthy, and doing well. To allow all students to participate and to meet each of you in-person, the Spring School on “Methods of Social Network Analysis with R“, initially scheduled for April 20 to 24, is officially postponed to Spring 2021. Best regards The Staff |
Submission date: March 31st, 2020
Submission link: https://www.unipi.it/index.php/how-to-apply
Booklet:
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”. |
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
Arrival Info
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 |