Faculty Scholars

Faculty Scholar Nathan McNeese, Ph.D. at  Clemson University, Clemson South Carolina

Nathan McNeese, Ph.D.

Assistant Professor
Director of Team Research Analytics in Computational Environments Research Group
School of Computing
College of Engineering, Computing and Applied Sciences

Clemson University

Contact: mcneese@clemson.edu  

Who is Dr. McNeese?

Nathan J. McNeese is an assistant professor and the director of the Team Research Analytics in Computational Environments (TRACE) Research Group within the division of Human-Centered Computing in the School of Computing at Clemson University. McNeese received a Ph.D. in Information Sciences & Technology with a focus on Team Decision Making and Cognition from The Pennsylvania State University in 2014. Upon completion of his doctorate, he began an appointment with Arizona State University as a postdoctoral research associate in Human Systems Engineering. For more than 10 years, he has conducted research on many topics within a variety of different contexts. He is the recipient of grants from the office of Naval Research and the Air Force Office of Scientific Research and has published over 40 scholarly works. His current research interests include the study of team cognition and technology, human-machine teaming, the development/design of human-centered collaborative tools and systems, and better understanding teamwork in health care. He currently collaborates with clinical partners at both Clemson and Greenville Health System.

For more information, see his Profile.

How Dr. McNeese’s research is transforming health care

Nathan McNeese’s research seeks to better understand teamwork in health care domains through studying health care teams in context and then developing human-centered collaborative technologies to support specific teamwork activities. He is particularly interested in studying the concepts of team cognition, artificial intelligence, and collaborative technology design and development.

Health Research Expertise Keywords

Teamwork, Collaborative Technology, Human Computer Interaction, Human Factors, Computer Supported Cooperative Work, Artificial Intelligence