9.18
Big Data
How data science can make Hollywood more diverse
How data science can make Hollywood more diverse
Wharton’s Kartik Hosanagar launched Jumpcut, a startup to help Hollywood create more inclusive content by relying on data to show industry leaders that audiences are hungry for a wider range of representation.
How has COVID-19 changed ‘superstar cities’?
A new analysis found that overall mobility in large U.S. cities has yet to return to pre-pandemic levels, and some are also experiencing changing segregation patterns, with potential implications that could last well beyond the pandemic.
Working at the intersection of data science and public policy
Working at the intersection of data science and public policy
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.
How data science can win the debate on police reform
How data science can win the debate on police reform
Wharton’s Dean Knox discusses his research on racial bias in policing, and how retrospective data analysis can help inform future practices.
Understanding poverty and data
Understanding poverty and data
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 role of data in a world reshaped by COVID-19
The role of data in a world reshaped by COVID-19
Experts across Penn share their insights on how data and data science affect their fields in the context of an ongoing pandemic.
Crowd-sourcing optogenetics data to tackle neurological diseases
Crowd-sourcing optogenetics data to tackle neurological diseases
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.
Political polarization distilled using data science
Political polarization distilled using data science
Penn juniors Emma Arsekin and Janelle Schneider broke down partisanship politics by analyzing metadata as PURM research assistants for political science Professor Daniel Hopkins.
Penn Medicine helps power international COVID-19 data consortium
Penn Medicine helps power international COVID-19 data consortium
An international consortium involving Penn researchers pools electronic health record data from around the world to discover clinical insights about COVID-19.
New machine learning method allows hospitals to share patient data privately
New machine learning method allows hospitals to share patient data privately
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.