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Integrating Big Data and dynamic models to support health decision making


Around 150 people attended a free seminar hosted by The Australian Prevention Partnership Centre and the Sax Institute on 4 May featured international health data science expert Professor Nate Osgood.

Professor Osgood discussed the advantages of using electronic real-time data collection in longitudinal studies such as the 45 and Up Study and research more broadly. He also explored how integrating dynamic modelling with real-time data – such as smartphone data – can help explain and influence health behaviours and help decision makers better predict the effects of policy and clinical interventions.

 

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1605 Big Data Forum, Nate Osgood

Around 150 people attended a free seminar hosted by The Australian Prevention Partnership Centre and the Sax Institute on 4 May featured international health data science expert Professor Nate Osgood.

Professor Osgood discussed the advantages of using electronic real-time data collection in longitudinal studies such as the 45 and Up Study and research more broadly. He also explored how integrating dynamic modelling with real-time data – such as smartphone data – can help explain and influence health behaviours and help decision makers better predict the effects of policy and clinical interventions.

 

Photo gallery

1605 Big Data Forum, Nate Osgood

Professor Nate Osgood
Professor Nate Osgood

Professor Osgood works across the Departments of Computer Science, Community Health & Epidemiology, and Bioengineering at the University of Saskatchewan, Canada. He has been applying dynamic modelling to improve decision making – with a particular focus on health – for more than 25 years, with  contribution to communicable, chronic and zoonotic disease areas, to social and environmental epidemiology, and to tobacco policy.

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