CULTURE MAPPING
Culture Mapping uses computational linguistics, machine learning, and Generative AI to analyze cultural data at scale. Computational linguistics helps break down language into meaningful patterns, revealing underlying themes and connections within large datasets like social media posts, articles, and interviews. Machine learning algorithms then detect patterns and classify this data into distinct narrative groups or archetypes based on similarity and meaning. Generative AI expands this capability further by interpreting these patterns, generating new insights, and suggesting possible future scenarios or emerging storylines. Together, these technologies enable Culture Mapping to rapidly interpret complex cultural signals, offering clear visualizations and actionable insights to anticipate shifts in society and culture.
Tupot and Stock. Story Systems and Cultural Research: A Mixed-Methods Guide to Forecasting Social Change. Under contract with Routledge.