Data Science

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. 

Penn Today Staff

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.

Penn Today Staff

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.

Michele W. Berger

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.

Michele W. Berger



In the News


CBC Radio (Canada)

The GOP race is over. The question after Haley drops out: Will her voters move to Trump?

Marc Trussler of the School of Arts & Sciences says that Biden surrogates can’t outright ignore warning signs from polling data.

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NBC News

NBC News exit poll on Super Tuesday: Our methodology

Stephanie Perry and Elizabeth Schreier of the Penn Program on Opinion Research and Election Studies and Joelle Gross of the School of Arts & Sciences share their methodology for the NBC News Super Tuesday exit polls.

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Philadelphia Business Journal

Penn alum looks to raise $750K, tap into AI to scale social impact investing analytics platform

Penn alum Catherine Griffin has created ImpactableX, an analytics platform to help social impact startups quantify their impact.

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The Washington Post

How the diploma divide came to dominate American politics

In a recent paper, William Marble of the School of Arts & Sciences argues that white voters with college degrees, not just the white working class, drove the political-polarization process.

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The Wall Street Journal

The band of debunkers busting bad scientists

Joe Simmons of the Wharton School is among a growing number of scientists in various fields around the world who moonlight as data detectives, sifting through studies published in scholarly journals for evidence of fraud.

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Technical.ly Philly

This Penn researcher is exploring how ChatGPT fits into the social sciences

PIK Professor Desmond Upton Patton and colleagues are studying how generative AI, particularly chatbots, can be used ethically in social sciences work.

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