All Spring 2025 applications are still open! Undergraduate and Graduate Deadlines Extended to December 16, 2024.

All Spring 2025 applications are still open! Undergraduate and Graduate Deadlines Extended to December 16, 2024.

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Jason Bryer

Assistant Professor

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Areas of Expertise
  • Statistics
  • College Readiness
  • Self-Regulated Learning

Dr. Jason Bryer is currently an assistant professor and associate director in the data science and information systems department at the City University of New York. He is currently the principal investigator of the FIPSE ($3 million #P116F150077) and IES funded ($3.8 million R305A210269) Diagnostic Assessment and Achievement of College Skills.

Dr. Bryer's research interests include quasi-experimental designs with an emphasis in propensity score analysis, data systems to support formative assessment, and the use of open source software for conducting reproducible research. He is the author of over a dozen R packages, including three related to conducting propensity score analyses.

Courses

DATA 606 - Statistics and Probability for Data Analytics

Academic Programs

Undergraduate Program

Information Systems

Graduate Program

Data Science

Recent News

Enhancing Effective Instruction and Learning Using Assessment Data

February 25, 2022

Information Age Publishing

Dr. Jason Bryer, assistant professor and associate director of the data science and information systems programs at CUNY SPS, has co-written a chapter in the book "Enhancing Effective Instruction and Learning Using Assessment Data" available now through Information Age Publishing. The chapter, entitled "The Use of Predictive Modeling for Assessing College Readiness," introduces software for automating some aspects of developmental education and the use of predictive modeling.

Enhancing Effective Instruction and Learning Using Assessment Data

September 16, 2021

Information Age Publishing

Dr. Jason Bryer, assistant professor and associate director of data science and information systems at CUNY SPS, is a contributor to the upcoming book "Enhancing Effective Instruction and Learning Using Assessment Data." His chapter "The Use of Predictive Modeling for Assessing College Readiness", co-written by Diana Akhmedjanova, Heidi L. Andrade, and Angela M. Lui, introduces software for automating some aspects of developmental education and the use of predictive modeling.
Smiling Asian undergraduate student studying in library with laptop

CUNY SPS Wins Grant to Study Impact of Online Assessment Tools

July 14, 2021

CUNY SPS has won a grant from the U.S. Department of Education to study the impact of online assessment tools on college students’ success.

Additional Areas of Expertise