Workshop: Modeling Propensity to Use or Sell Drugs at the Block Group Level with Dr. J.J. Naddeo
We will use publicly available survey data to build machine learning models to predict the probability an individual recently sold or consumed illicit drugs. We will then connect this model to publicly available census data to investigate patterns in drug use and sales at the public use microdata area (PUMA) level. Finally, utilizing proprietary data from RTI International, we will create maps of drug behavior. We will see how these tools can be used to inform policy makers about who and where drugs are being used and sold. Students will code examples using Python. Basic familiarity is expected. RSVP at https://bit.ly/MDIWorkshopsFall2022 and add to your Google calendar.