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Christian Testa (he/him) is a statistical analyst and programmer focused on modeling health outcomes and characterizing health inequalities. At this session of Data + Donuts, Christian will talk about his work on the Public Health Disparities Geocoding Project 2.0.

In 2004, a team led by Nancy Krieger at the Harvard T.H. Chan School of Public Health introduced the Public Health Disparities Geocoding Project into a field that at the time severely lacked socioeconomic data. The project systematized research and training for using geocoding and area-based socioeconomic measures to better inform efforts to address inequities in health, both overall and in relation to racialized health inequities in the U.S. This work was adopted by numerous US state and local health departments and cancer registries, and informed decisions at the national level. Since 2004, there has been a huge increase in the use of area-based socioeconomic measures to analyze health inequities. The updated Public Health Disparities Geocoding Project 2.0 expands on this work, including with a publicly available training manual for using Census data to perform geographic health disparity analyses in R.

This event will be held in a hybrid format. Please register to receive a link to join via Zoom. In-person attendees can join us in the Library Commons (ground floor of Littauer, to the left of the HKS Library’s main entrance). The Library Commons is wheelchair/scooter accessible, and accessible restrooms are available. In-person attendees must follow HKS’ COVID-19 protocols. Those without an HUID may enter via the Wexner security desk.

Data + Donuts is a learning and discussion group that offers a welcoming space to engage critically with issues of data and society. Every few weeks during the academic year, we invite researchers and practitioners to facilitate conversations around their area of expertise – and share donuts! Find our full list of past speakers on our website. Video recordings and slides are available upon request.

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