The vacant seat on the U.S. Supreme Court has returned to the spotlight, with President-elect Donald Trump promising supporters that he will nominate a conservative justice, and Democrats fuming from Senate Republicans’ refusal to hold a vote on Obama nominee Merrick Garland.
In this episode of Politics & Polls, professors Julian Zelizer and Sam Wang interview Linda Greenhouse about how a Trump presidency may affect the U.S. Supreme Court. Greenhouse is the Knight Distinguished Journalist in Residence and Joseph Goldstein Lecturer in Law at Yale Law School. She covered the Supreme Court for The New York Times between 1978 and 2008 and writes a biweekly column on law. She’s the author of several books, including, most recently, “The Burger Court and the Rise of the Judicial Right.”
ABOUT THE HOSTS
Zelizer is the Malcolm Stevenson Forbes, Class of 1941 Professor of History and Public Affairs at Princeton University's Woodrow Wilson School of Public and International Affairs. He has been one of the pioneers in the revival of American political history. He is the author of several books including, most recently, "The Fierce Urgency of Now: Lyndon Johnson, Congress, and the Battle for the Great Society." Zelizer is a frequent commentator in the international and national media on political history and contemporary politics. He has published more than 600 hundred op-eds, including his weekly column on CNN.com.
Wang is professor of neuroscience and molecular biology at Princeton University. He is known for his books "Welcome to Your Brain" and "Welcome to Your Child's Brain" and for his founding role at the Princeton Election Consortium, a blog providing U.S. election analyses. In 2004, Wang was one of the first to aggregate U.S. presidential polls using probabilistic methods. In 2012, his statistical analysis correctly predicted the presidential vote outcome in 49 of 50 states. He has also developed new statistical standards for partisan gerrymandering. A neuroscientist, Wang's academic research focuses on the neuroscience of learning, the cerebellum and autism.