Developing and Implementing Governance and Algorithms for the PATH (Program to Accelerate Technologies for Homecare) Platform

The successful implementation of advanced technologies for sensor-based, ambient assisted living (AAL) in the homes of older adults is a complex challenge. This proposal leverages the resources available through the PATH platform to problem-solve the following critical components of the challenge: (1) ethical issues arising from sensor data collection and sharing; (2) a governance model for data management and utilization; (3) deep connection of predictive analytics with the life worlds of older adults; (4) development of guidelines for real-world deployment tailored to the needs of stakeholders. Researchers at the Ottawa and Waterloo sites for PATH use an interdisciplinary approach that integrates insights from computing science, engineering, ethics, philosophy, law, and social science, in partnership with our industry partner, SmartOne, and provides a rich environment for graduate students and postdoctoral fellows. The trainees will each have primary responsibility for a project within the four areas described above that respects their particular academic background, but will work in interdisciplinary teams to help ensure development of interdisciplinary knowledge and skills.

Intern: 
Kang Wang;Kiemute Oyibo;Devvrat Bhardwaj;Farah Hatoum;Rachana Devkota
Faculty Supervisor: 
Plinio Pelegrini Morita;Jennifer Boger;Jeffrey Jutai;Jason Millar;Pascal Fallavollita
Province: 
Ontario
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