Data-Driven Modeling of Depression in Urban Areas | NYU Tandon School of Engineering

Data-Driven Modeling of Depression in Urban Areas

Community,
Health & Wellness,
Urban


Project Sponsor:
  • Maurizio Porfiri, Ph.D., Institute Professor, Director of Center for Urban Science + Progress, Department of Mechanical and Aerospace Engineering, Department of Biomedical Engineering, Department of Civil and Urban Engineering, Center for Urban Science + Progress, Dynamical Systems Laboratory

Abstract

The goal of this project is to explore the intricate dynamics of depression in urban environments through network modeling. We aim to understand how urban environments influence mental health. By developing a predictive model, we will investigate how social interactions and environmental variables related to mental health services contribute to reducing depression risk. Additionally, we will study how to make interventions on urban attributes to prevent depression across various urban areas. Our approach not only seeks to unravel the relationship between urban environments and depression, but also offers guidance for targeted interventions that could promote mental well-being in urban areas.