Webinar Series - The Power of Population Data Science

Tuesday, October 2, 2018

Webinar Series - The Power of Population Data Science presented by Population Data BC and the International Journal of Population Data Science.

The world of rapidly expanding data has provided many new and challenging opportunities to address a myriad of issues facing human populations. Population Data Scientists see the potential social and individual benefits that can be realized through data-intensive analytics and collaborative work involving data linkage methods. Data linkage allows information on an individual from one data source to be linked to information on the same individual from another data source. Using the linked data makes it possible to gain a more comprehensive understanding than could be obtained from either data source individually.  

Linked data used for secondary analysis often involves population-based, longitudinal data that was originally collected for another purpose. Linkage may take place across data sets in a single domain (e.g. health) or across domains (e.g. health, education, environment, and early childhood). This work can provide an unbiased picture of the entire population, is cost-effective, relative to other data collection mechanisms, and enables studies to be done that could not otherwise be performed.

The use of linked data to support better health outcomes exists across many research areas, for example:

  • Analyzing patient characteristics, treatment costs and outcomes of care to identify the most cost effective healthcare, thereby influencing provider behavior
  • Applying advanced analytics to patient profiles (e.g., segmentation and predictive modeling) to identify individuals who would benefit from preventative care or lifestyle changes
  • Disease profiling to identify predictive events and support prevention measures

Seminar schedule
 

September 27, 2018

Are you a Population Data Scientist?

Dr. Kim McGrail, University of British Columbia, Canada
Dr. Kerina Jones, Swansea University, UK

October 11, 2018

Future directions in probabilistic linkage

Dr. James Doidge, University College London, UK
Dr. Harvey Goldstein, University of Bristol and University College London, UK

October 25, 2018

Probabilistic linkage of national immunisation and state-based health records for a cohort of 1.9 million births to evaluate Australia’s childhood immunisation program

Dr. Heather F Gidding, University of New South Wales
Dr. Hannah Moore, Telethon Kids Institute, Australia

 For more information click here.

 

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