Faculty Profile

Eren Bilen

Assistant Professor of Data Analytics (2021)

Contact Information

bilene@dickinson.edu

Althouse Hall Room 104
717-254-8162
https://ernbilen.github.io

Bio

Eren Bilen's primary research domain is in behavioral and applied economics, in particular, on incentives and their role on performance in competitive environments. His recent work scrapes and analyzes data from an online chess platform with millions of moves made by players all around the world. His broader research interests involve machine learning and geospatial analysis on a wide range of applications. Particular topics include natural disaster response to the effects of availability of grocery store chains on consumer behavior. He has since published in several academic journals, including the Journal of Economic Behavior & Organization, and the Canadian Journal of Economics. He enjoys teaching both Python and R. The courses he taught include introduction to data science, data systems for data analytics, game theory, data analytics capstone.

Curriculum Vitae

Education

  • B.A., Izmir University of Economics, 2015
  • M.A., University of South Carolina, 2016
  • Ph.D., 2021

2024-2025 Academic Year

Fall 2024

COMP 200 Data Syst for Data Analytics
Cross-listed with DATA 200-01.

COMP 200 Data Syst for Data Analytics
Cross-listed with DATA 200-02.

DATA 200 Data Syst for Data Analytics
Cross-listed with COMP 200-01.

DATA 200 Data Syst for Data Analytics
Cross-listed with COMP 200-02.

DATA 400 Data Analytics Capstone
Permission of instructor required.

DATA 500 Independent Study

Spring 2025

DATA 400 Data Analytics Capstone
A capstone course that provides students with an opportunity to apply the data analytics knowledge they have acquired to independent research projects. At least one of the projects must be derived from the chosen discipline specific electives. Students will get experience in all aspects of solving real-world problems, including project planning, consideration of legal and ethical issues, collecting and processing data, analyzing and interpreting results, writing reports, and giving presentations.Prerequisites: DATA 300, completion of ECON 298 or concurrent registration in MATH 325, DATA 198/PHIL 258 and the three-course disciplinary sequence. Offered every spring.