Programme

At a glance

The school is structured around theoretical lectures and computational practicals, alongside many socials.

Detailed programme

Day 1 – Welcome & Introduction

• Opening social
• Lecture 1: Introduction to the summer school - what, why, and how of past network research
• Practical 1: Computational basics - set up coding workspace, and read network data

Day 2 – Data & Methods

• Practical session 2: How to obtain, create, and clean network data
• Lecture 2: Network analysis and methods
• Practical 3: Exploratory network analysis
• Practical 4: Network visualization techniques 1: plotline/ggplot2

Day 3 – How to tackle a project?

• Practical 5: Networks as a model, a tool to gain insight into phenomena and data
• Lecture 3: Research design
• Practical 6: Network visualization techniques 2: Gephi tutorial
• Practical 7: Best practices: data and results deposition and documentation

Day 4 – Projects & Critical Perspectives

• Practical 8: Work on projects
• Lecture 4: Critical perspectives on historical and archaeological data
• Practical 9: Work on projects or elective advanced tutorial
• Practical 10: Work on projects or elective advanced tutorial

Day 5 – Discussion & Moving Forward

• Developing your own future past network research projects. Discussion and evaluation
• How to take the next steps in the past networks community – conferences, resources and publications