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

Data-Driven Modeling of Depression in Urban Areas

Center for Urban Science + Progress
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
  • Tian Gan, PhD student in Mechanical Engineering and member of the Urban Science Doctoral Track at the Center for Urban Science + Progress

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.