Can We Predict Well-being?

People who experience mental wellness challenges or mental illness often struggle to obtain or maintain a position in the workplace. This is extremely relevant given the current COVID crisis, where personal distancing and isolation are required for the greater societal good. Organizations and communities are looking for practical tools to support mental health amidst this growing crisis, alongside ongoing social and racial unrest. Because mental wellness is directly related to social and cultural aspects of different regions, it is essential to personalize the decision support and prediction systems. We are aiming to develop a framework for determining the state of well-being of both individuals and groups within the mining industry. This framework will be critical for designing interventions to improve mental health and safety in the workplace.

Faculty Supervisor:

Raymond Spiteri

Student:

Partner:

Refresh Enterprises Inc.

Discipline:

Computer science

Sector:

Health and Related Sciences & Technology; Information and Communications Technology

University:

University of Saskatchewan

Program: