Dr. Carolyn C. Matheus

Associate Dean, School of Computer Science and Mathematics; Professor of Information Systems

Bio

Dr. Carolyn C. Matheus is the Associate Dean of the School of Computer Science and Mathematics, Professor of Information Systems, and Director of the AI Academy. She led the development and implementation of an interdisciplinary minor in Applied Artificial Intelligence, has served as co-chair of the strategic plan implementation committee, co-chair for AI in Academics, and sits on the AI steering committee at Marist University. She holds a PhD in Organizational Studies/Information Science with a concentration in leadership from the State University of New York (SUNY) at Albany, and earned undergraduate and graduate degrees from Marist College. 

With a deep passion for education and extensive experience in academic leadership, she has a demonstrated track record advocating for faculty, developing high impact practices for students, and driving the internationalization of programming. An accomplished writer and researcher, she is passionate about advancing academic programs and strategic initiatives across operating areas. She has established valuable industry and community partnerships and leads efforts that highlight interdisciplinary partnerships and leads efforts that highlight interdisciplinary synergies and drive innovation in higher education. 


Education

PhD, Organizational Studies, University at Albany
MA, Psychology, Marist College
BA, Psychology, Marist College


Research Interests / Areas of Focus

Artificial intelligence literacy; data and information quality; interdisciplinary applications of technology; service learning


Selected Publications

Matheus, C. (2026). Bridging the gap with AI literacy. Journal of Computing Sciences in Colleges, 41.8, 35-36.

Matheus, C.C. & Steffans, R. (2023). A Pedagogical Methodology for Developing and Delivering an Honors Senior Seminar. Honors in Practice, 19, 63-77. 

Matheus, C.C. & Gaugler, K. (2020). Fostering global mindedness in short term community based global learning programs: The importance of strategic design, collaboration, and reflection. Frontiers: The Interdisciplinary Journal of Study Abroad, 32(3), 156-181.

Matheus, C.C. (2020). An overview of data analytics: Spreadsheet modeling, visualization, and supervised and unsupervised learning. Journal of Computing Sciences in Colleges, 35.8, 15-32. 

Matheus, Carolyn C. & Labouseur, Alan (2020). A Structural Holistic Believability Metric for Influence in Linked Data. AMCIS 2020 TREOs, 35.

Labouseur, A.G. & Matheus, C.C. (2019). Dynamic data quality for static blockchains. In The First International Workshop on Blockchain and Data Management (BlockDM2019) at the 35th IEEE International Conference on Data Engineering (ICDE2019). Macau, China. 

Gaugler, K.M. & Matheus, C.C. (2019). Engineering engagement: Perceived L2 development and short-term learning abroad. Foreign Language Annals, 52(2), 1-21.

Matheus, C.C. & Quinn, E. (2017). Gender based occupational stereotypes: New behaviors, old attitudes. In Proceedings of IEEE Women in Engineering Forum, Baltimore, MD

Labouseur, A.G. & Matheus, C.C. (2017). An introduction to dynamic data quality challenges. Journal of Data and Information Quality, 8(2), article no. 6.

Matheus, C.C. & Svegliato, J. (2015). OpenSR: An open source stimulus-response testing framework. Human Technology, 11(2), 100-122.

Matheus, A.B., Matheus, C.C., & Neely, P. (2014). Examining the relationship between IQ, DQ, usefulness, EoU, and task performance. Communications of the Association for Information Systems, 35(15), 285-304.

Matheus, C.C. & Svegliato, J. (May, 2013). Stimulus-response tests: An applied demonstration. In Proceedings of IEEE International Conference on Research Challenges in Information Science, Paris, France. DOI: 10.1109/RCIS.2013.6577740 

Matheus, C.C. & Taber, T.D. (November, 2012). Gender as a moderator of the relationship between OCB and supervisors’ ratings. In Proceedings of Southern Management Association2012 Meeting, Ft. Lauderdale, FL. http://web1.southernmanagement.org/meetings/2012/SMA2012Program.pdf 

Fisher, C.W., Lauria, E.J.M., & Matheus, C.C. (2009). An accuracy metric: Percentages, randomness and probabilities. Journal of Data and Information Quality, 1(3), article no. 16.

Fisher, C., Lauria, E., & Matheus, C. (November, 2007). In search of an accuracy metric. In Proceedings of the 12th International Conference on Information Quality (ICIQ) at Massachusetts Institute of Technology, Boston, MA. http://mitiq.mit.edu/ICIQ/PDF/IN%20SEARCH%20OF%20AN%20ACCURACY%20METRIC.pdf


Selected Presentations

Matheus, C. & Gaugler, K. (2026). The AI literacy blueprint. Presented at the 2026 Hudson Valley AI Summit. Poughkeepsie, NY. 

Matheus, C. (2025). Bridging the AI Skills Gap Through an Interdisciplinary Minor in Applied Artificial Intelligence. Presented at the Educause Annual Conference, Nashville, TN.

Zahradnik, A., Matheus, C., Gaugler, K., Sharp, J., & Ferrara, V. (2025). AI Expert Panel. Invited panelist for the 13th Annual Assessment Network of New York Conference (Poughkeepsie, NY). 

Matheus, C. (2024). Innovative Leadership: Enhancing Skills and Techniques for Thinking Outside the Box. Presented at the 2024 IEEE Women in Engineering (WIE) Forum USA East, Stamford, CT. 

Amico, G. & Matheus, C. (2022). Implications of emerging technology: An ethical analysis of generative pre-trained transformer 3. Presented at the Northeast Regional Honors Conference, Philadelphia, PA. 

Bartolotta, K., Preece, J., & Matheus, C.C. (2019). The metamorphosis of stack overflow data: From data acquisition and pre-processing to analytics and visualization. Presented at the Consortium for Computer Science in Colleges- Northeast Region (CCSCNE). West Haven, Connecticut. 

Matheus, C.C. (2018). Analytics bootcamp: Developing and delivering an online graduate course in data analytics. In Proceedings of ICERI 2018: 11th International Conference of Education, Research and Innovation, Seville, Spain, 7364-7368.

Shrestha, S. & Matheus, C.C. (April, 2017). Data Mining and Visualization Techniques. Presented at the ACM-W New York Celebration of Women in Computing conference, Rochester Institute of Technology, NY.

Matheus, C.C. (December, 2016). From problems through prosperity: Learning to lead with passion and purpose. Presented at the 2016 IEEE Women in Engineering Forum USA East, Boston, MA.  


Awards and Honors

  • Recipient of the 2026 Board of Trustees faculty award for distinguished teaching
  • Recipient of the 2022 Marist SGA faculty of the year award 
  • Recipient of the 2021 National Society of Leadership and Success award for Excellence in Service to Students 
  • Recipient of the 2019 National Society of Leadership and Success award for Excellence in Teaching 
  • Recipient of the 2015 special recognition award from the Academic Vice President for excellence in teaching
  • Recipient of the 2014 special recognition award from the Academic Vice President for excellence in assisting students with employment and internship opportunities

Image of Marist University professor of information systems Carolyn Matheus.

Contact Information

Academic School

School of Computer Science and Mathematics

Office

Hancock 3008

Email

carolyn.matheus@Marist.edu

Phone

(845) 575-3660

Website/Resume

https://www.linkedin.com/in/dr-carolyn-c-matheus-5763a318/