Effective Interventions using Integrated Sensing Frameworks
Research in this theme focuses on piloting novel methods of integrating the high resolution data generated through Themes A-C with stakeholder needs. Through this integration, we will design and implement strategies for individual and collective interventions.
High-resolution health impact and environmental inequality screening tool
By combining RAIN’s highly-resolved concentration and activity data, state-of-the-art epidemiological and mechanistic models of health impacts and demographic micro-data from the Canadian census, we will develop a web-based screening tool that enables stakeholders to interactively explore spatial patterns of health impacts and inequality at the neighbourhood scale. A novel output of this translational research will be a responsive, public-facing screening tool that uses real-time, high-resolution, scientifically validated sensor network measurements integrated with other data sources. The methodology and visualization platform developed would also be transferable to other jurisdictions.
Designing and implementing data-driven sustainability interventions
Individual choices, from transportation mode (e.g., bicycle or car) to building operation (e.g., open window or air conditioning) can affect personal exposure to air pollution as well as personal energy and carbon footprints57. We will use RAIN data to inform these personal choices and communicate trade-offs between personal health, personal comfort, and environmental footprint. Our research on policy alternatives for institutional and governmental decision-makers focuses on the design of new policy instruments and verification procedures. Such procedures are enabled by the high-resolution sensing of real-world conditions conducted in RAIN.