The conference and related workshops were designed to meet the interests of researchers, faculty members, graduate students and representatives from government and health related organizations who work in the area of Population and Public Health. 

February 8th plenary presentations focused on data linkage infrastructure, researcher case studies in different forms of data analysis, and innovation in data presentation and knowledge translation.

The key objectives for day one plenary sessions included:

• Providing an overview of the benefits and limitations of specific kinds of population health-related data
• Providing examples of innovative data infrastructure, data visualization and state-of-the-art research in population health data analysis and methods
• Discussing challenges and opportunities for future research in population health

February 9th and 10th featured one-day and two-day hands-on workshops that aligned with key presentations from day one.

These workshops were designed to:

• Enhance understanding of when different analytical methods can be used and with what purpose
• Develop theoretical knowledge and understanding in statistical analysis of administrative and other health data
• Expand data analysis and presentation skills in specific areas relevant to population health, such as:
  • Longitudinal analysis and multilevel growth curve modelling
  • Spatial perspectives in population health
  • Best practices in display and communication of healthcare data using charts and graphs
  • Best practices in Knowledge Translation