Lecture Recap and Video: Jason Jurjevich on 'Navigating Differential Privacy In Decennial Census Data'
The U.S. Census Bureau recently implemented differential privacy, beginning with the 2020 Census, to protect individual confidentiality in census data. However, improving data privacy introduces error that will render less accurate data, especially for population subgroups, sub-county geographies and less-populated areas. In this talk, I review the history of data protections leading up to differential privacy and outline important takeaways for planners and real estate professionals working with census data.
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About Jason R. Jurjevich
Jason Jurjevich is an associate professor of practice in the School of Geography, Development and Environment at the University of Arizona. Jurjevich’s research at UArizona focuses on the socio-spatial implications of demographic change. He teaches courses in population geography, spatial statistics and applied demographic methods.
A broadly trained human geographer, Jurjevich’s research interests address issues relating to political and population geography. Since 2010, his work has been cited in numerous media outlets, including National Public Radio (NPR), Univision, CityLab, Governing Magazine, The New York Times Magazine, Atlantic Cities and The Chronicle of Higher Education. Recently Jurjevich created Census 20/20, a website aimed at fostering community preparedness and inspiring individual action to support a fair and accurate census in 2020. Jurjevich earned his PhD in Geography from the University of Arizona.
