Format: On Campus
Number of Students: 1
Duration of Project: 30 June – 25 July 2025
Project Supervisor: Professor Doctor Mesut Sayın
Research Areas: Logistical Analysis of the 2024 U.S. Presidential Election
Daily Supervisor: Mesut Sayın
Application Deadline: 13 June 2025
Project Description:
This project focuses on analyzing the scheduling and routing strategies used by US presidential and primary election candidates during the last four cycles. It aims to explore the factors influencing the selection of states to visit and their order, as well as to identify the mental optimization models used by campaign decision-makers.
About the Project:
The research will analyze the decisions behind candidates’ campaign schedules, specifically which states to prioritize and how to optimize visit times.
Project Objectives:
Extract and analyze the scheduling and routing plans from the last four US presidential and primary election campaigns.
Identify key factors that influence campaign route decisions, including demographics, voting patterns, and media coverage.
Understand the mental optimization model used by campaign managers in decision-making processes.
Project Tasks:
Deliverables:
Benefits for the Student:
The student will gain hands-on experience in logistical analysis and political campaign strategy while gaining insight into real-world decision-making in political science.
Requirements:
The student should possess good analytical skills and be familiar with Excel. Python Programming knowledge is a plus.
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