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.
Crowdsourcing 10,000 years of land use
More than 250 archaeologists from around the world contributed their knowledge to ArchaeoGLOBE, an effort to better understand the prevalence of agriculture, pastoralism, and hunting and gathering at different points in human history.
Five insights into how the brain works
As the Center for Neuroscience & Society celebrates 10 years, founding director Martha Farah reflects on the array of research from its faculty, on subjects from brain games to aggression.
Equifax breach and how credit agencies must change how they manage data
Wharton’s David Zaring analyzes the Equifax settlement, struck last week between the credit reporting firm and federal regulators over a massive data breach in 2017, and the call for stronger legislation and regulatory restraints to protect consumers.
For non-Hispanic whites in the U.S., life expectancy outlook worsens
Research from Penn demographers shows that, though trends vary regionally, mortality is increasing, particularly for women, 25- to 44-year-olds, and those in rural areas.
A conversation about second-generation immigrants and mortality
In a Q&A, Penn demographer Michel Guillot discusses recent work showing that male children of immigrants from Algeria, Morocco, and Tunisia have a mortality rate nearly double that of the native population in France.
A push for emergency texting services across the United States
Today, fewer than half of U.S. counties have this capability. Rising juniors Anthony Scarpone-Lambert and Kirti Shenoy want to change that with their nonprofit Text-911.
Penn Medicine releases free, ‘self-service’ AI tool for data analytics
The Penn Medicine Institute for Biomedical Informatics has launched a free, open-source automated machine learning system for data analysis that is designed for anyone to use.
Can algorithms diagnose disease better than doctors?
Proponents of artificial intelligence in medicine say the technology holds great potential in predicting drug interaction, infection risk factors—even in cancer diagnoses Penn’s Ravi Parikh and Amol Navathe discuss their research on the best way to leverage artificial intelligence in medicine.
App predicts risk of developing hernia following abdominal surgery
A Penn-developed app can predict the likelihood that a patient will develop an incisional hernia following abdominal surgery, utilizing electronic health records to identify the most common risk factors for patients.