In this episode, we hear from José Pacas about data challenges involved in measuring rural poverty in the Supplemental Poverty Measure or SPM and how the subtleties of poverty measurement can have real world implications for the lived experiences of low-income people in rural places. 

Dr. Pacas is currently serving on a National Academy of Sciences, Engineering, and Medicine panel on Evaluation and Improvements to the Supplemental Poverty Measure. He is Chief of Data Science and Research at Kids First Chicago and was previously a researcher at IPUMS at the University of Minnesota. Dr. Pacas was a 2019-2020 fellow in the IRP Scholars in Residence Program.