Jeremy Nowak Lecture
12:00p.m. - 1:30p.m.
Ken Steif’s new book, “Public Policy Analytics: Code & Context for Data Science in Government,” available online and in print, provides guidance for how governments and policymakers can use data and algorithms to solve complex service-delivery problems.
Wharton’s Dean Knox discusses his research on racial bias in policing, and how retrospective data analysis can help inform future practices.
Experts across Penn share their insights on how data and data science affect their fields in the context of an ongoing pandemic.
Regina Smalls Baker of the School of Arts & Sciences and Amy Castro Baker of the School of Social Policy & Practice explore how data can be better used to analyze and address poverty.
The specialized field of neuroscience, optogenetics, shows clinical promise for conditions like epilepsy and Parkinson’s. But before human trials can get fully underway, the field must better understand a crucial intermediate step, aided by 45 labs in nine countries sharing information.
Penn juniors Emma Arsekin and Janelle Schneider broke down partisanship politics by analyzing metadata as PURM research assistants for political science Professor Daniel Hopkins.
An international consortium involving Penn researchers pools electronic health record data from around the world to discover clinical insights about COVID-19.
An emerging technique called federated learning is a solution for health systems and hospitals that are often resistant to sharing patient data, due to legal, privacy, and cultural challenges.
Although wound survivability has increased over the last 80 years, the U.S. military’s medical corps suffered some periods of backsliding during conflicts.
Epidemiologists and data scientists have been gathering data, making calculations, and creating mathematical models to answer critical questions about COVID-19, but math cannot account for the unpredictability of human behavior.