In June and July 2022, the Public Health Disparities Geocoding Project, based at the Harvard TH Chan School of Public Health (Boston, MA), will host new, thoroughly updated and revised FREE 4-day virtual trainings on why & how to analyze population health and health inequities in relation to census tract, county, and other georeferenced societal and environmental data.
Topics to be covered include:
• the history and context of, and rationale for, conducting this type of work
• issues affecting the numerator and denominator data
• conducting analyses with data aggregated to a specified level of geography vs. multi-level analyses with 2 or more levels of geography
• data interpretation and visualization
• the impact of changes to US census data (e.g., differential privacy)
The training will consist of:
• small discussion groups
• hands-on work with a variety of data sets
Limited to 75 participants – students, faculty, and staff at health departments, health care agencies, and community-based organizations that work with local health data are especially encouraged to apply.
The live virtual components of the training (lectures & hands-on training) will take place in 2022 on:
• Monday, June 20 (Day 1): 1-5 pm EST
• Wednesday, June 22 (Day 2): 1-5 pm EST
• Friday, June 24 (Day 3): 1-5 pm EST
• Monday, June 27 (Day 4): 1-5 pm EST
• Monday, July 25 (Day 1): 1-5 pm EST
• Wednesday, July 27 (Day 2): 1-5 pm EST
• Friday, July 29 (Day 3): 1-5 pm EST
• Monday, August 1 (Day 4): 1-5 pm EST
• In the days between live virtual sessions, please note that participants will be expected to work in small groups of 5 on their assignments.
Registration for both trainings will open here on Monday, Jan 10, 2022 at 9:00AM EST.
If you would like to receive updates about the training plans and an email reminder when we open for registration on January 10, 2022 please provide your contact information here.
PHDGP 2.0 faculty: Nancy Krieger, Jarvis Chen, Pam Waterman, Christian Testa, Rachel Nethery
PHDGP 2.0 RAs: Dena Javadi, Enjoli Hall, Justin Morgan