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Data Science
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.
U.S. military has improved mortality since World War II, with some alarming exceptions
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?
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
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.
What factors predict success?
What factors predict success?
New research from Angela Duckworth and colleagues finds that characteristics beyond intelligence influence long-term achievement.
Removing human bias from predictive modeling
Removing human bias from predictive modeling
Predictive modeling is supposed to be neutral, a way to help remove personal prejudices from decision-making. But the algorithms are packed with the same biases that are built into the real-world data used to create them.
Can the additive tree expand machine learning in medicine?
Can the additive tree expand machine learning in medicine?
By combining elements of two widely used prediction models, the “additive tree” is a highly predictive model that is also easy to interpret.
Can artificial intelligence help answer HR’s toughest questions?
Can artificial intelligence help answer HR’s toughest questions?
Wharton's Peter Cappelli and Prasanna Tambe discuss the challenges companies face when they outsource their Human Resources departments to AI, allowing algorithms to remedy imperfect human decision-making for hiring, firing, scheduling, and promoting.
In the News
Technical.ly Philly
A sneak peek inside Penn Engineering’s new $137.5M mass timber building
Amy Gutmann Hall aims to be Philadelphia’s next big hub for AI and innovation while setting a new standard for architectural sustainability.
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6ABC.com
New building at University of Pennsylvania aims to become hub for AI research
Amy Gutmann Hall, set to open in early 2025, is dedicated to advancing artificial intelligence and data science.
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Philadelphia Business Journal
First look: Inside Penn’s new Amy Gutmann Hall, the region's largest mass timber building
Amy Gutmann Hall will be a catalyst for groundbreaking artificial intelligence research and collaboration across disciplines, with remarks from Dean Vijay Kumar of the School of Engineering and Applied Science.
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NBC News
How to avoid misreading the early voting numbers
Marc Meredith and Joelle Gross of the School of Arts & Sciences explain that patterns from early ballot returns can be misleading.
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The Canadian Press
Divine intervention and saving the economy: What motivates Trump supporters in 2024
Marc Trussler of the School of Arts & Sciences says that Trump supporters will likely be younger, more male, and more racially diverse in 2024 compared to 2016 and 2020.
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The Guardian
Innovating responsibly with generative AI
Michael Kearns of the School of Engineering and Applied Science explains some of the best practices to help leaders responsibly build generative AI.
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