Political scientist Peter Enns – who correctly predicted the winner in 49 states 100 days before the 2020 U.S. presidential election – will offer insights on political forecasting and his current forecast of the 2024 election in an eCornell keynote address on Oct. 1 at 2:30 p.m.
Weill Cornell Medicine researchers have found that removing protected class regulation from Medicare prescription drug policies could greatly reduce the United States' prescription drug spending, potentially saving $47 billion between 2011 and 2019.
Sabrina Karim is an assistant professor of government at Cornell University and studies police and peacekeeping in post-conflict states. She notes that the U.N.-backed mission, led by Kenya, must have full understanding of the local context before engaging in any political or police action.
Sabeel Rahman, professor of law, has been named a 2024 Freedom Scholar by Marguerite Casey Foundation in recognition of his groundbreaking work in democratic governance and social equity.
Cornell Nolan School professor David Sherwyn engages Paul Wagner, chief financial officer of Stokes Wagner, and Holly Lawson, Noble Hotels and Resorts’ senior vice president of human resources, in a discussion corporate DEI programs.
The new “How NYC Moves” report, co-authored by a Cornell Tech expert and New York City’s Mayor’s Office, offers strategies to leverage technology to speed transportation analyses and unlock housing development.
Cornell’s “Antisemitism and Islamophobia Examined” series concludes this semester with a talk by Derek Penslar, the William Lee Frost Professor of Jewish History at Harvard University.
Rick Geddes, director of the Cornell University Program in Infrastructure Policy, comments on the partial failure of Minnesota's Rapidan Dam following torrential rains in the Midwest.
At the May event, students covered topics focused on countries around the globe and ranging from immigration, home care workers and female sports culture to the U.S.-China relationship, the repatriation of cultural objects and AI and literature.
