Psychological Networks Amsterdam Summer School 2023 
July 10 – July 14, 2023

University of Amsterdam
Nieuwe Achtergracht129-B
1018 WS Amsterdam, The Netherlands
Nieuwe Achtergracht129-B
email: psynetsummerschool@gmail.com

We are excited to announce the 2023 edition of the Psychological Network Analysis Summer School. Join us in beautiful Amsterdam from July 10 to July 14, and learn all about network analysis in psychology. 

UPDATE: all spots are now filled.

Summary

The Summer school consists of 7 lectures taught by leading experts in the field, a workshop on reporting networks, a symposium with applied researchers, as well as guided practical sessions and exercises. It will cover the foundations of network analysis, discuss the most important analysis techniques for cross-sectional and longitudinal data, and introduce novel Bayesian approaches to network analysis.

A preliminary overview of the topics covered

• Introduction & theoretical foundation of network analysis
• Causality, conditional dependence, and pairwise Markov random fields 
• Estimating networks, model selection, stability, comparison, and replicability
• Network estimation from time series data
• Advanced network estimation
• Bayesian analysis of networks
• Reflections on the network approach
• Reporting of network analysis

Learning goals

After completing this summer school, you will be able to 1) understand the theoretical foundations behind network modeling, 2) infer network topology and estimate network parameters from different sources of data, 3) analyze the network structure and its stability, 4) reflect on research aims connected to network analysis, and 5) communicate network analysis results in scientific output (journal articles, posters).

Target Audience

This year’s edition will focus on applied aspects of network analyses. Special attention will be paid to integrating the skills acquired in the course with substantive research questions, as well as reporting the results of network analyses in a scientific report. Basic R knowledge is required for this course. 

We encourage participants to bring their own data if available, as there will be dedicated times to work on own projects.

Cost

Student price: 750 euro
Non-student price: 850 euro

The price includes participation in all lectures and practical sessions, as well as lunch and social activities throughout the week (Monday drinks and Thursday dinner).

Special thanks to everyone involved.