Research Spotlight: Homa Hosseinmardi

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In Analytics at Wharton’s Research Spotlight series, we spoke with Homa Hosseinmardi, a research scientist at the University of Pennsylvania’s Computational Social Science Lab, about her recent study, “Causally Estimating the Effect of YouTube’s Recommender System Using Counterfactual Bots” to learn more about the social platform. Read More

Women in Data Science @ Penn 2024 Recap

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Analytics at Wharton and Penn Engineering had the distinct pleasure of hosting the fifth annual Women in Data Science (WiDS) @ Penn Conference on February 8th and 9th. A celebrated interdisciplinary event, WiDS @ Penn is part of the larger WiDS Worldwide initiative, which aims to elevate and celebrate the outstanding work of women on a global scale, fostering respect, collaboration, connection, and visibility within the data science community.Read More

Eric Eisenstein and Paul Sabin Join Analytics at Wharton as Senior Fellows

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Analytics at Wharton is proud to welcome Eric Eisenstein, as a Senior Analytics Fellow, and Paul Sabin, as a Senior Sports Analytics Fellow with the Wharton Sports Analytics and Business Initiative, to our team for the 2023-2024 academic year. In their roles, Eisenstein and Sabin will provide thought leadership and content expertise for a variety of programs at Analytics at Wharton, serving as faculty mentors for student teams and subject matter experts.Read More

AI at Wharton – Business & Generative AI Workshop Recap

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On September 8, 2023, AI at Wharton faculty, plus researchers, industry professionals, and academics from diverse disciplines joined together for an engaging workshop that explored the transformative role of generative AI on business models, industries, and global economies.

The conference helped to provide opportunities to network with thought leaders, exchange ideas, share knowledge, and envision the future possibilities of this nascent technology. If you missed out on the workshop or want to revisit a particular session, recordings are available below. Read More

Wharton Professor’s SCEPTRE Tool Helps Link Genetics to Disease Risk

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It’s not often the case that statisticians have an advanced understanding of genomics, but it’s exactly this combination of expertise that has Eugene Katsevich, assistant professor of statistics and data science at the Wharton School, making waves with his team’s new software package, SCEPTRE. At its core, SCEPTRE is a free, easy-to-use statistical tool that biologists can utilize to uncover correlations between certain genetic variants and their impact on disease risk. Understanding these correlations can help scientists accelerate the speed, and improve the effectiveness, with which they are able to treat a number of diseases. Read More

Wharton Sports Analytics Summer Research Lab – Student Spotlight

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For most students, the transition from spring to summer presents an opportunity to wrap up finals, close their textbooks, and enjoy a relaxing few months before starting back up again. That’s not quite the case for students in the Wharton Sports Analytics Research Lab (WSARL), a new offering from the Wharton Sports Analytics and Business Initiative (WSABI), created for select undergraduates at the University of Pennsylvania.Read More