Kai R. Larsen
Dr. Kai Larsen is an associate professor of management and entrepreneurship at Leeds. As Director of the federally supported Human Behavior Project, he is conducting research to create a transdisciplinary "backbone" for theoretical research. Dr. Larsen¹s research uses automatic text mining technologies to create an integrating framework for predictors of human behavior. The research has implications for our understanding of all human behaviors, including technology utilization, investor decisions, and cancer prevention behaviors.
In addition to his research, Larsen teaches Business Intelligence and Privacy in the Age of Facebook. His privacy course delves into the ethical issues of information sharing, now one of the fastest growing industries. He has overseen almost 100 privacy-related research projects and edited multiple books on the topic with his students..
- National Institutes of Health/National Cancer Institute, “Implementation of recommender engine and dataset detection for Grid-Enabled Measures (GEM) database,” 2013-2014. PI.
- National Institutes of Health/National Cancer Institute,“Semi-automatic detection of synonymous constructs in the Grid-Enabled Measures (GEM) database,” 2012-2013. PI.
- Grant no. NSF 0965338: National Science Foundation (NSF), “TLS and DAT: Construct Utilization in the Behavioral Sciences,” 2010-2013. PI with Jintae Lee and Eliot Rich.
- Social Sciences and Humanities Research Council, Canada, Research Grant 2006-2008
- Boulder Faculty Assembly Excellence in Teaching Award, 2006
- Joseph L. Franscona Teaching Excellence Award, 2005
- Lise and Arnfinn Heje’s Fund, Competitive Merit Grant
- Ph.D., Information Science, University at Albany, SUNY
- Candidatus Magisterii (Software Engineering), The National College for Teachers of Commerce, Norway
- Adjunkt (Education), The National College for Teachers of Commerce, Norway
- Diplomkandidat, NHI College of Computer Science, Norway