Student Research Assistant Prediction Markets Data Collection

Duties include but are not limited to:
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.

Disclaimer
The University of Kansas prohibits discrimination on the basis of race color ethnicity religion sex national origin age ancestry disability status as a veteran sexual orientation marital status parental status gender identity gender expression and genetic information in the universitys programs and activities. Retaliation is also prohibited by university policy. The following person has been designated to handle inquiries regarding the nondiscrimination policies and is the Title IX coordinator for all KU and KUMC campuses: Associate Vice Chancellor for Civil Rights and Title IX Room 1082 Dole Human Development Center 1000 Sunnyside Avenue Lawrence KSTTY.

Work Schedule
Flexible; up to 20 hours weekly.

Contact Information to Applicants
Francisco Zuloaga Cosme

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

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.

Throughout their employment student employees will maintain and manifest positive actions that align with and support the Code of Conduct for the School of Business.

Additional Candidate Instruction
Submit an online application and resume. Applicants may also include a brief statement (optional) describing their interest in the position and any relevant experience.

Position Requirements
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).

Employment Conditions
(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.