Acquisition of evidencebased understanding of human health behavior and exposure to environments forms a central focus of health research, and a critical prerequisite for effective health policy. The use of mobile devices to study health behavior via crosslinked sensor data and on-device self-reporting and crowdsourcing have been demonstrated to provide important insights that traditional techniques cannot. However, design, delivery and analysis of mobile data studies requires skills rarely developed in training in the health sciences.
This course introduces public health researchers and practitioners to tools, practical skills and the conceptual background required to collect and analyze mobile data on health behavior, and assists participants in getting started in applying such techniques to studies and applications of specific interest to them. This course will include hands-on work with novel and standard tools and techniques.
The course includes both a classroom curriculum (featuring much hands-on work) and hands-on learning designed to help participants craft and test out study designs, survey instruments, and sensor-based data collection mechanisms for their specific data collection priorities. Both portions of the course will make heavy use of the Ethica smartphone and wearablebased data collection system (the latest generation version of the longstanding iEpi epidemiological data collection system).
This course is targeted at professionals from a variety of health fields including health researchers, health service delivery, public health workers, health decision makers, and any health professionals or modellers seeking empirical behavioural data.
This component of the course will further leverage the extensive experience of the instructor and teaching assistants (TAs) by having them provide ongoing advice, guidance, tips and hands-on assistance as participants build, explore, test, and refine their own study designs, survey and crowdsourcing instruments, sensor data collection mechanisms addressing their surveillance needs. Guided by instructors and interdisciplinary team of TAs, participants will have the opportunity to design a prototype data collection experiment, and to acquire, visualize and analyze the collected data using current tools and techniques.
Fees and Capacity
Early Bird Registration (until March 30th, 2017):
- Students: $600.00 + $30.00 GST = $630.00 CAD
- Faculty/Post-Doctoral: $1,200.00 + $60.00 GST = $1,260.00 CAD
- Corporate and Private Sector: $2,000.00 + $100.00 GST = $2,100.00 CAD
Registration (after March 31st, 2017):
- Students: $900.00 + $45.00 GST = $945.00 CAD
- Faculty/Post-Doctoral: $1,500.00 + $75.00 GST = $1,575.00 CAD
- Corporate and Private Sector: $2,300.00 + $115.00 GST = $2,415.00 CAD
Note that due to the practical nature of the event, the registration is limited to only 33 participants.
Refunds will be provided for delegate registration cancelled in writing and received by April 30th, 2017. A cancellation penalty of $75.00 CAD plus GST will apply. After May 1st, 2017 all registration fees become non-refundable.
Substitutions can be made at any time, but will require advance written notice. Please direct your correspondence by email to firstname.lastname@example.org