AI-based Platform for Population-level Social Isolation Detection and Prediction

Social isolation is a serious public health issue which has many negative effects on quality of life and well-being of individuals. This research project aims to develop and test a Minimally Viable technology platform (MVP) to tackle population-level social isolation. This platform is designed to collect and analyze surveys from the users and detect socially isolated people and identify individuals at risk of isolation in a community using AI and social network analysis techniques. It is capable of analyzing real-time data obtained from the users through multiple channels such as web portal or mobile app. Our approach is to map the network to an attributed weighted multi-dimensional social graph and use graph theory, network science, and AI techniques.

Faculty Supervisor:

Pooya Moradian Zadeh

Student:

Bahareh Rahmatikargar

Partner:

Community Support Centre of Essex County

Discipline:

Computer science

Sector:

Health care and social assistance

University:

University of Windsor