In this session, we will explore Hennepin County’s graph-based entity resolution model. This model identifies when distinct records across county systems actually represent to the same individual. These identifications provide insight into how clients interact with the breadth of Hennepin County systems and allowing Hennepin County to provide more accurate counts for summary statistics. The technical portions of this talk will focus on implementing this model in a scalable way and preliminary comparisons to other entity resolution models.
Chris is a data scientist at Hennepin County focused on using data visualization and graph data science to bring together disparate datasets to help leaders better understand patterns of service involvement.
Cameron Thieme is a data scientist at Hennepin County who combines graph data science with traditional statistical analysis to help decision makers identify patterns in their data.
