Welcome to Election Analytics 2024!

This webpage is a collection of election analytics blogs made by student forecasters in the course GOV 1347 at Harvard University (taught by Ryan Enos with teaching fellow Matthew Dardet and course assistants Ethan Jasny and Yusuf Mian).

The goal of these blogs is to provide descriptive analyses and regularly updated predictions around the outcome of the 2024 presidential election. Forecasters use rigorous quantitative and statistical methods and political reseach to make scientifically-informed commentary around different facets of the race (e.g., the economy, advertising campaigns).

Final Course Predictions

Forecaster Blogs

GOV 1347 Course Blogs:

• Avi Agarwal
• Julien Berman
• Victor Bowker
• Caroline Choi
• Jay Chooi
• Nick Dominguez
• Sammy Duggasani
• Nilay Ersoy
• Alex Heuss
• ShuXin Ho
• Shivali Korgaonkar
• John Kulow
• Jade Nair
• Kelly Olmos
• Dhati Oommen
• Jacqui Schlesinger
• Chris Shen
• Mena Solomon
• Cathy Stanton
• Ella Trembanis
• Kaitlyn Vu
• Grant Williams
• Chris Wright
• Shriya Yarlagadda

Example Blogs:

• Matthew’s example 2024 introductory blog made using Jekyll.
• Ethan’s and Yusuf’s 2022 midterm election blog sites made using Blogdown.

Helpful Links and Resources