Online markets and platforms

Faculty Name:
Vandana Ramachandran

Department:
Operations & Information Science

Faculty College:
Business

Email:
vandana.ramachandran@eccles.utah.edu


Project Description:

Information systems is a fast-paced dynamic area of study. We study online markets and platforms including market mechanisms, consumer behaviors, market frictions/ asymmetries and solutions to them, incentives, recommendations, among other things. If you are interested in data analytics and data based decision making in technology supported markets, this would be a good fit. Think Amazon, Google, search engines, Netflix algorithms, crowdsourcing (Wikipedia, Mechanical Turk), crowdfunding (Kickstarter), text analytics.



Opportunity Type:

Prepare a UROP proposal; Write an Honors Thesis; Earn independent study credit


Student Role:

Students will learn and use statistics and data mining methodologies to gain usable insights from data. Students will need to know or learn some programming skills, R/Python


Student Benefits:

understand how data and data analytics play an important role in the business world.


Project Duration:

one year 5 hours a week


Minimum Requirements:

statistics course, understand regression