Network Analysis for Policy Strategy & Evaluation
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
* 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"
lecture 1 (slides)