Building Demonstration of Algorithmic Pricing based on Data
Eric Van Dusen, Lecturer
Data Science Undergraduate Studies
Applications for Spring 2025 are closed for this project.
Research and help to develop a data-driven example of algorithmic pricing. This could be from online, from another author, or scraping information. There are many policy implications of algorithmic priceing, in ride-share and delivery, in housing rental markets, and on Amazon. This project is to develop a hands-on teachable example with market data. The idea is to make something relevant to policy makers about this important new area that is mostly proprietary.
Role: Find and try out datasets
Build a pricing model
Read literature to find relevant examples
Qualifications: Skills with data manipulation - Pandas , Time Series,
Skills with building reproducible notebooks
Understanding of dynamic pricing models
Hours: 6-8 hrs
Off-Campus Research Site: Data Science Undergraduate Studies
Related website: https://econ148.org
Digital Humanities and Data Science Engineering, Design & Technologies