Webinar Series - The Power of Population Data Science

This webinar series aims to highlight the value of data linkage and related data-intensive analytics by profiling some of the most recent International Journal of Population Data Science (IJPDS) publications by national and international Population Data Scientists


Overview

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

Research partnerships

International Population Data Linkage Network (IPDLN) facilitates communication and collaboration between research centres that specialize in data linkage and users of linked data. It is also closely aligned with the International Journal of Population Data Science (IJPDS) that publishes emerging research in this growing field.

Who should attend?

The webinar series will benefit researchers, analysts, health professionals and members of the public who are interested in learning more about Population Data Science and how work in this emerging field is making substantive contributions to informing population health-related policies for the betterment of our communities.

Dates/Times:

The series will run on Thursdays starting September 2018. 

Time: All sessions will be one hour in duration. Delivery times vary based on the time zone of the presenters' country of origin. Please check each session for specific details.

Delivery: All sessions will be delivered live and online via the Gotowebinar system.

Can’t attend the live session? This presentation will be recorded and posted on the PopData's YouTube channel and the International Journal of Population Data Science (IJPDS) website for future reference.

We recommend that you register for the presentations of your choice so we can send you a link to the latest recorded sessions as they are available.

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, Australia
Dr. Hannah Moore, Telethon Kids Institute, Australia

November 1st, 2018

Visualising logistic regression: Application of coloring book technique in a reproducible ggplot2 system

Dr. Andriy Koval, University of Central Florida, USA

December 5th, 2018

Multi-jurisdictional epidemiological research in Canada: Challenges and opportunities

Amanda Butler, Simon Fraser University, Canada
Wayne Jones, Centre for Applied Research in Mental Health and Addiction (CARMHA), Canada

January 10th, 2019

The Canadian Chronic Disease Surveillance System: A model for collaborative surveillance

Lisa Lix

January 24th, 2019

Challenges in accessing routinely collected data from multiple providers in the UK for primary studies: Managing the morass

Fiona Lugg-Widger
Rebecca Cannings-John
Mike Robling

Febuary 13th, 2019

Family matters: High school graduation and sibling influence

Elizabeth Wall-Wieler

 


Page last revised: December 12, 2018