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David Eisenberg
Assistant Professor, Information Management and Business Analytics, Feliciano School of Business
- Office:
- Feliciano School of Business
- Email:
- eisenbergd@montclair.edu
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Profile
David received his Ph.D. in Information Systems at New Jersey Institute of Technology in May 2024, where he researched business and consumer applications of emerging technology. Prior to his PhD, he completed two masters degrees, in Information Technology from Virginia Tech, and Library and Information Science from Rutgers University. During his doctoral degree, David has published numerous manuscripts and conference proceedings, was named a Georgia Tech Research Institute Fellow, National Science Foundation I-Corps Fellow, George Mason University Mercatus Fellow, Junior Scholar of the American Marketing Association’s Public Policy Conference, Founder's Award recipient and Emerging Scholar of the Society of Business Ethics, and has served as 2023, 2024, and 2025 American Association of Information Systems Future of Work track co-chair, and their Cognitive Information Systems mini-track co-chair.
Specialization
Information Management, Artificial Intelligence, Marketing Technology, Disruptive Technology, Internet of Things, Future of Work, Sensor Technology, Technology Policy and Ethics
Office Hours
Fall
- Monday
- 9:30 am - 11:00 am
- Thursday
- 9:30 am - 11:00 am
Spring
- Monday
- 10:20 am - 11:50 am
- Wednesday
- 5:10 pm - 6:40 pm
Links
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Research Projects
Digital Discrimination in Sports Management
International study examining digital discrimination in sports management towards individuals with disabilities. Examining both European and United States sports leagues across football, basketball, baseball, soccer, and rugby.
Explainable Artificial Intelligence for Disease Prediction
Using Explainable Artificial Intelligence (XAI) to identify potential patients via data obtained by permission from the National Institute of Health. In collaboration with Wayne State Medical School and New Jersey Institute of Technology.
Safeguarding Individual Data Privacy: New Policies for the Age of AI
Artificial intelligence has the ability to make sense of these enormous data troves in unexpected and
privacy intrusive ways. This paper lays out potential problems from an increasingly data-hungry and
data-dependent world that feeds a growing AI ecosystem. The research lays out a regulatory solution that protects consumers’ privacy while ensuring that privacy preservation does not come at the cost of participation in modern life.