Network Analysis for Policy Strategy & Evaluation
 
JRC-Seville
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Objectives
The objective of this course is to provide participants with advanced network concepts and tools to implement policy strategy and evaluation. As a concrete example, this course will examine in detail how a network-based framework can help to implement the smart specialization strategy. The training consists of lectures combined with computer exercises and is intended for participants with basic knowledge of social network analysis.


Examples of studies using SNA for assessing EU R&I policies:
- Dynamic network analysis of the EU R&I Framework Programme
- Regional Diversification-Opportunities and Smart Specialization Strategies-2017
- From horizon 2020 to Horizon Europe: Monitoring Flash #2.1 Dynamic network analysis-2018

 

Day 1 (Monday, Jan. 28)

Individual and Organizational Network Analysis


Key concepts (from network science)
* Using network thinking to solve real-world problems
* Key network concepts for research and innovation policy
* Data and concrete applications


Computer lab (in R)
* Advanced network statistics
* Network analysis of complex networks
* Advanced network visualization in R (2D & 3D)


Day 2 (Tuesday, Jan. 29)

Macro-Economic Network Analysis

Key concepts (from economic complexity)
* Relatedness and complexity
* Mapping knowledge in countries/regions
* Implementing the Smart Specialization Strategy


Computer lab (in R and JavaScript)
* Computing Relatedness (EconGeo Package)
* Computing Complexity (EconGeo Package)
* Plotting treemaps and the knowledge space

 

Material (links to datasets)

amz = "https://raw.githubusercontent.com/PABalland/ON/master/amz.csv"

misel = "https://raw.githubusercontent.com/PABalland/ON/master/lesmis-el.csv"

misnl = "https://raw.githubusercontent.com/PABalland/ON/master/lesmis-nl.csv"

pat = "https://raw.githubusercontent.com/PABalland/ON/master/pat.csv"

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lecture 1 (slides)

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