Analytics at Wharton spoke with David Reibstein, Catherine “Cait” Lamberton, Z. John Zhang, and, Martin P. Fritze about their research into the attitudes of consumers towards cryptocurrencies – whose true value is famously difficult to ascertain – and how those attitudes are reflected in the pricing of cryptocurrencies.…Read More
Analytics at Wharton is proud to welcome Amit Gandhi and Cornelia Walther as visiting scholars for the academic year. In their roles, Gandhi and Walther 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. With a focus on corporate relationships and humanitarian-focused uses of technology, Analytics at Wharton couldn’t have welcomed these two brilliant scholars at a better time. …Read More
This month, we spoke with Angel (Tsai-Hsuan) Chung, a second-year PhD student in Wharton’s Operations, Information and Decisions (OID) Department, about her work in Sierra Leone on optimizing health supply chains with decision-aware machine learning…Read More
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
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
While learning algorithms improve and expand at a rapid rate, and management practices continue to evolve, the need for high-quality healthcare for all remains the same. That’s why Analytics at Wharton is thrilled to unveil the Wharton Healthcare Analytics Lab (WHAL), who work at the intersection of healthcare and data science to improve health care delivery globally.…Read More
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
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
The American Civil Liberties Union of Kansas is crediting research from experts at Wharton and Princeton with helping to win its federal court case against the Kansas Highway Patrol (KHP) over unconstitutional treatment of out-of-state drivers.…Read More
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
