Seowoo Nam

Diffractive Interfaces: Facilitating Agential Cuts in Forest Data Across More-than-human Scales

As cities worldwide adopt data-driven approaches to optimize urban forests, computational tools like agent-based models (ABMs) are increasingly popular to simulate forest growth and inform planting decisions. However, ABMs often focus on individual metrics, neglecting forests as interdependent ecosystems. Rooted in an…