Student Research Assistant - Prediction Markets Data Collection

Student Research Assistant - Prediction Markets Data Collection Position Overview

This position supports a research project on prediction markets, focusing on data collection and organization from platforms such as Polymarket and Kalshi. The student will assist in building a structured dataset used for academic research. The role is ideal for students interested in marketing analytics or research methods.

• 60% Collect and organize data from prediction market platforms (e.g., Polymarket, Kalshi).
• 30% Clean and structure datasets in Excel or similar software.
• 5% Assist with basic data analysis and documentation of procedures.
• 5% Other research-related tasks as assigned.

• Ability to work independently and meet deadlines.
• Proficiency in Excel or Google Sheets.
• Strong attention to detail and ability to follow structured tasks.
• Strong organizational skills.

During the semester term of the appointment, the student hourly must be enrolled in no fewer than 6 credit hours. For summer periods the student hourly must: (1) have been enrolled in no less than 6 hours in the past spring semester or (2) be pre‑enrolled in the upcoming fall semester in no less than 6 hours or (3) be enrolled in summer session or (4) be admitted to study in the upcoming fall semester.

Student hourlies may be undergraduate or graduate students. (Exceptions granted for GRA/GTA/GA appointments DO NOT apply to Student Hourly appointments).

(1) Student employees are not eligible for remote work arrangements unless an exception is approved by the unit leadership and HR.
(2) This is an hourly/non-exempt position. A student employee cannot hold an hourly/non-exempt position and a salaried/exempt graduate or undergraduate position (GRA/GTA/GA/RUA/RGA) concurrently.