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Filtering by: Creator William He Type Work Collection Undergraduate Research and Arts Expo Collection Northwestern Undergraduate Research Journal

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Mathematical Modeling to Forecast U.S. Elections

Description:

Now more than ever, forecasting the outcomes of U.S. elections is an important and challenging task. Traditionally, statistical or political-science methods have been employed to better understand how individuals will vote. Our approach differs in that we use mathematical modeling. Adapting methods commonly used in epidemiology to understand biological disease...

Keyword:

Elections, forecast, mathematical modeling, data science, forecasting, and political science

Creator:

Emily Mansell and William He

Owner:

Chris Diaz

Date Uploaded:

06/24/2021

Date Modified:

07/08/2021
Mathematical Modeling of U.S. Elections

Description:

Forecasting the outcomes of U.S. elections is a relevant and complex task that has been approached in many ways, most commonly incorporating statistics or proprietary methods that include some degree of subjectivity. Our approach differs from this convention in that we use multidisciplinary methods from applied mathematics. Specifically, we use...

Keyword:

forecast, US elections, mathematical model, elections, and mathematical modeling

Subject:

Applied mathematics

Creator:

William He and Christopher Lee

Owner:

Scholarly Digital Publishing

Date Uploaded:

06/08/2020

Date Modified:

07/23/2020

Date Created:

2020

Resource Type:

Conference Proceeding