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Cross-Leveraging Dynamic Modeling & Big Data to Confront Complex Health Services Research Problems

2013/03/15

Presented by IPHRC researcher, Nathaniel Osgood, Associate Professor in the Development of Computer Science and Associate Faculty in the Department of Community Health & Epidemiology and Division of Bioengineering, University of Saskatchewan

Event Details:

12:30 p.m. – 2:00 p.m.

Please note: This lecture will take place in Saskatoon and will be video-conferenced to a Regina audience.

Saskatoon Location: Prairie Room, Diefenbaker Building, 101 Diefenbaker Place, University of Saskatchewan Campus

Regina Location: JSGS Window Room, 2nd Floor, Gallery Building, University of Regina, College Avenue Campus (Please be advised that the JSGS Window Room is located on the second floor of the Gallery Building. Individuals with mobility difficulties should contact us at 306.585.5869 or [email protected] at least one week prior to the event.)

Cross-Leveraging Dynamic Modeling & Big Data to Confront Complex Health Services Research Problems

To address complex public health challenges – multi-factorial problems such as obesity and obesity-related chronic disease, the spread of drug-resistant and rapidly mutating pathogens that evade control efforts, and “syndemics” of mutually reinforcing health conditions — public health decision makers are increasingly supplementing their toolbox using “system science” techniques. Such methods provide a way to understand a system’s behavior as a whole and as more than the sum of its parts, and a means of anticipating and managing the behavior of a system in more judicious and proactive fashion. Within this talk, we will highlight the great promise afforded by combining Systems Science techniques and rich data sources, particularly emphasizing the role of cross-linking simulation models with fine-grained temporal and spatial data collected by smartphone-based and other sensors, and other increasingly rich databases. Decision-oriented models grounded by such novel data sources can allow for articulated theory building regarding difficult-to-observe aspects of human behavior. Such models can also aid in informing evaluation of and judicious selection between sophisticated interventions to lessen the health burden of a wide variety of health conditions.

Dr. Nathaniel Osgood’s research is focused on providing cross-linked simulation, ubiquitous sensing, and inference tools to inform understanding of population health trends and health policy tradeoff s. His applications work has addressed challenges in the communicable, environmental, chronic and zoonotic disease areas. In addition to health applications, Dr. Osgood is the co-creator of two novel wireless sensor-based epidemiological monitoring systems, most recently the Google Android-based “iEpi” smartphone system.

Registration: Those interested in attending are encouraged to register online HERE.

Please note, this is not an IPHRC event.

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