Brunswicker’s IronHacks Data Science Challenge predicted social crowding before it occurred

Data science enthusiasts who participated in the IronHack COVID-19 Data Science "Protect Purdue" Challenge last winter successfully predicted anonymous foot traffic during the pandemic across local places of interest. The data science models and reports they produced could help health officials in the future.