This project is funded by the European Union under the Seventh Framework Programme Grant Agreement n°313082
European Union
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Introduction to methods and applications to the JoREP/EUPRO database with Network Analysis approaches.

November 20 @ 10:00 am - November 21 @ 5:30 pm

CALL                 LEAFLET

Course objectives

The network analysis techniques are important tools to assess the performance in the European research. This statistical tool is useful to explore how the different research partners are related among them in the different transnational research programs. The networked environment provides a great opportunity to understand how these relationships are made; which are the main actors and their role into the system; and how the network operates in order to improve the European R&D system. The course will give an introduction to descriptive analysis of social network and the basics of using computer software for this purpose. The primary focus is the analysis of relational data measured on European countries. Topics include: an introduction to the main descriptive analysis of network and a short introduction to R; structural and locational properties of countries, such as centrality, density or cluster measures. Then, applications of inferential network analysis from EUPRO and JoREP datasets will be shown.
The aim is to provide to the participants with an understanding of the potential applicability of these methods to different types of networks and to various research questions related to the Europeanization processes.

Programme and contents

Day 1 – November 20, 2017

10:00-10:30 Welcome: RISIS project and opportunities for researchers
10:30-11:30 Introduction to the main characteristics of JoREP and EUPRO
11:30-12:30 Basic concepts of Social network analysis
13:30-15:00 Some illustrative examples of SNA and basic network inferential analysis from EUPRO and JoREP
15:30-16:30 Organization of the laboratory and short introduction in R
16.30-17.30 Introduction of the case studies and objectives. Creation of groups and provision of data

Day 2 – November 21 ,2017

9.00-10.30 Demonstration of case study methodologies (SNA, network visualization, SIM) in R

11:30-12:30 Laboratory work (SNA, network visualization, basic SIM) by groups. Interpretation of the results and preparation of the presentations
13:30-15:30 Laboratory work continued

15:30-17.30 Presentation by groups and discussion


Audience targeted

Target audience for this course are researchers in research policy and higher education with a quantitative orientation, which aim to extend their competence on social network analysis.

Requirements for participation

Basic requisite for admission will be:
• Knowledge of basic principle of statistics
• Good working knowledge of statistical software (R).
• Basic knowledge of social network analysis techniques and tools is useful, but not required.

Organizational details

• No fee to be paid

• Venue of the trainees (travel and accommodation) will be covered only in case of researchers, early researchers and PhDs coming from European countries

• No costs are covered for people not involved in research activities (i.e. people from associations or policy level)

• Participants will be selected on the basis of interest and CV

• Notification of acceptance will be sent after the selection process is completed



Dr. Emanuela Reale, Dr. Andrea Orazio Spinello, Dr. Antonio Zinilli (IRCrES CNR)

Dr. Martina Dünser, Dr. Thomas Scherngell (AIT – Austrian Institute of Technology)

Deadline for request participation

To be defined

Organizing committee

The course is organized by the Research Institute on Sustainable Economic Growth of the National Research Council of Italy ( and by the Austrian Institute of Technology (

Dr. Emanuela Reale, Dr. Andrea Orazio Spinello, Dr. Antonio Zinilli, Dr. Marco De Biase (IRCRES CNR).

Dr. Martina Dünser, Dr. Thomas Scherngell (AIT – Austrian Institute of Technology)

Contacts: Dr. Marco De Biase; Dr. Antonio Zinilli


November 20 @ 10:00 am
November 21 @ 5:30 pm
Event Category:


IRCrES – CNR (former CERIS – CNR)
Via dei Taurini 19
Rome, Italy
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