Emily Putnam-Hornstein spoke on “Predictive Risk Modeling: A Controversial (but necessary) Tool for Child Protection,” methods used to develop algorithmic risk models that could save the lives of children.
Tag: machine learning
Matt Jansen spoke on the development of the “On the Books: Jim Crow and Algorithms of Resistance” project, a collections as data and machine learning project of the University of North Carolina at Chapel Hill Libraries with the goal of … Continued
By Jayasree Jaganatha, Renaissance Computing Institute (RENCI) – Notes, takeaways, and resources from our second event (featuring Deen Freelon, Andrés Hincapié, and Matt Jansen) – On February 24, 2022, Carolina Data Science Now hosted the second iteration of its seminar … Continued
On February 24 at 12pm (EST), please join us for “Tackling Underrepresentation with Data Science.” The event will feature three lightning talks by professors and researchers in UNC-Chapel Hill’s academic community, centered around how data science is used across different … Continued