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Big Data
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.
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.
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.
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
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
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
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.
U.S. military has improved mortality since World War II, with some alarming exceptions
Although wound survivability has increased over the last 80 years, the U.S. military’s medical corps suffered some periods of backsliding during conflicts.
Coronavirus models aren’t crystal balls. So what are they good for?
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.
Childhood exposure to trauma costs society $458 billion annually
Bureaucratic hurdles block access to treatment services, so they tend to go unused. This leads to adverse outcomes that put stress on public systems like social services and law enforcement.