Brought to you by the award winning journal, Harvard Data Science Review, our podcast highlights news, policy, and business through the lens of data science. Each episode is a “case study” into how data is used to lead, mislead, manipulate, and inform the important decisions facing us today.
Episodes
Wednesday Oct 26, 2022
Wednesday Oct 26, 2022
With the 2022 U.S. midterms right around the corner, this month’s podcast is all about elections. Who is going to win and why? In today's episode, we talk to four experts about their predictions for the upcoming midterm elections in November and how these elections might impact the presidential race in 2024.
Our guests are:
- Caroline Carlson, Senior Data Science Analyst at Dynata and Analyst for Decision Desk HQ
- Ryan Enos, Professor of Government and Director of the Center for American Political Studies at Harvard University and co-author of Predicting the 2020 Presidential Election for HDSR
- Allan Lichtman, Distinguished Professor of History at American University and author of The Keys to the White House: Forecast for 2020 for HDSR.
- Scott Tranter, Founder and CEO of Øptimus Analytics and Decision Desk HQ and co-author of Forecasting the 2020 U.S. Elections with Decision Desk HQ: Methodology for Modern American Electoral Dynamics for HDSR.
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