
About
James R. Nolan is a Professor of Business Analytics, Actuarial Science, and Computer Science at Siena University's School of Business, where he has served since 1991. His career includes leadership roles as Dean of the School of Business (2003-2010, 1998-2001) and Department Head of Quantitative Business Analysis (1985-1993).
His educational background features aPh.D. in Public Administration from University at Albany, SUNY; C.A.S. in Planning and Policy Analysis; M.B.A. in Management Information Systems and Finance; and B.S. in Physics from Siena College.
Nolan's research spans statistical modeling, decision support systems, and socioeconomic analysis, with recent focus on women entrepreneurs across global contexts, college financing burdens, and vaccination disparities in rural populations. His work bridges technical AI applications with real-world policy implications, particularly in gender economics and educational accessibility.
Analysis of his 2011-2025 publications reveals a pivot toward interdisciplinary socioeconomic issues after foundational AI work, with consistent emphasis on gender disparities and financial risk modeling. Over 60% of recent articles examine women's entrepreneurship in developing economies, while credit card usage and student loan studies dominate U.S.-focused work.
- Fr. Matthew Conlin OFM Distinguished Service Award (2018)
- James Knust Award for Excellence in Administration (2007)
- Best Paper Awards at International Business & Economics Research Conferences (2002)
- Innovative Applications Award from American Association of Artificial Intelligence (1995)
- Outstanding Chapter Member Award from American Statistical Association (1989)
Nolan mentors students through courses like Business Statistics and Operations Management, though specific advisees aren't documented. His industry background in state government and health statistics informs practical teaching approaches centered on diverse learning styles. Current research includes global women entrepreneur studies across 20 countries and pediatric vaccination analysis.
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