AI-driven Spatiotemporal Analysis of Human–Nature Interaction and Cultural Ecosystem Services at the Global Scale

This project aims to use artificial intelligence to study how people interact with nature in cities and natural areas around the world. By analyzing millions of social media photos and captions, the research will identify different types of human activities, emotions, and cultural values connected to nature. The project combines computer vision, natural language processing, and geographic analysis to understand global patterns of environmental engagement. It will benefit the University of British Columbia and the Massachusetts Institute of Technology by strengthening their collaboration, sharing advanced research methods, and producing a global dataset and visualization tools that can guide sustainable landscape design, environmental planning, and public policy.

Faculty Supervisor:

Keunhyun Park

Student:

Partner:

Massachusetts Institute of Technology

Discipline:

Sociology

Sector:

Education

University:

The University of British Columbia

Program: