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
Analytics at Wharton (AAW) is thrilled to announce that the Wharton School’s diverse research and teaching resources in the areas of Artificial Intelligence and smart technologies are being consolidated under the umbrella of a significant new research and teaching initiative, AI at Wharton (AIW).…Read More
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
Recent advancements in artificial intelligence present massive changes for every industry, and neuroscience is no exception. Analytics at Wharton sat down with our resident neuroscience experts – Michael Platt and Zab Johnson – to find out how they’re preparing, and how our brains will work with AI in the future.…Read More
For the past three semesters, Rishabh Mandayam, M&T’24, has been collaborating with Analytics at Wharton’s corporate partners on the Analytics Accelerator, a six-week project where students wrangle company data and provide actionable business solutions. This spring marked the 10th Analytics Accelerator and saw Mandayam’s student team working alongside Hearst to uncover insights about the company’s readers.…Read More
Analytics at Wharton is thrilled to announce the formation of our inaugural Advisory Board. This group of business leaders from across a wide spectrum of industries joins our team as liaisons between Analytics at Wharton and our external constituencies.…Read More
