Social Data Science

Perma+H SOM

Lastmod

2026-10-13 12:10:22 +0300 +0300

Lead

Krista Lagus

Summary

Using computational language analysis and Self-Organizing Maps to explore wellbeing across languages, communities, and contexts.

Topics

  • Wellbeing
  • Computational language analysis
  • Self-Organizing Maps

Wellbeing in Communities and Contexts

Led by Krista Lagus, this project combines the PERMA+H wellbeing framework with advanced computational language analysis to study how wellbeing is expressed across languages, communities, and contexts.

Methods include vector embeddings, language models, and other computational approaches to identify patterns and relationships in large collections of text.

Self-Organizing Maps (SOMs) provide an exploratory and visualization method for examining these patterns and how they vary across communities and contexts.