Reza Mousavi

Professor

Research Interests

Data science
Business Analytics
Societal impacts of technology
deep learning
natural language processing
Information Systems
Management Information Systems
Library and Information Sciences
Computer Networks and Communications
Information Systems and Management
Management Science and Operations Research
Computer Science Applications
Pharmacology (medical)
Law
Pathology and Forensic Medicine
Sociology and Political Science

About

I am a faculty member at The University of Virginia. I am an expert in data science and analytics. My research topics are related to the societal impacts and economics of AI, data science and business analytics, user-generated content, and healthcare information systems. I use machine learning, deep learning, natural language processing (NLP), and econometrics to identify quasi-experimental settings and study the underlying relationships among the constructs of interest. My work has appeared in ISR, JMIS, JAIS, and PRQ. My work has also been presented at international and national conferences such as CIST, WITS, WISE, ICIS, HICSS, and AMCIS. I have taught advanced data science and business analytics, research methods, computer programming, and project management at the undergraduate, master, and doctorate levels. I have worked with leading consulting firms on various data science projects. Before joining academia, I was a lead data scientist at State Farm Insurance Co..

Publications

The Voice of the Customer: Managing Customer Care in Twitter

Information Systems Research / Jun 01, 2020

Mousavi, R., Johar, M., & Mookerjee, V. S. (2020). The Voice of the Customer: Managing Customer Care in Twitter. Information Systems Research, 31(2), 340–360. https://doi.org/10.1287/isre.2019.0889

The Impact of Twitter Adoption on Lawmakers’ Voting Orientations

Information Systems Research / Mar 01, 2019

Mousavi, R., & Gu, B. (2019). The Impact of Twitter Adoption on Lawmakers’ Voting Orientations. Information Systems Research, 30(1), 133–153. https://doi.org/10.1287/isre.2018.0791

Harnessing Artificial Intelligence to Improve the Quality of Answers in Online Question-answering Health Forums

Journal of Management Information Systems / Oct 01, 2020

Mousavi, R., Raghu, T. S., & Frey, K. (2020). Harnessing Artificial Intelligence to Improve the Quality of Answers in Online Question-answering Health Forums. Journal of Management Information Systems, 37(4), 1073–1098. https://doi.org/10.1080/07421222.2020.1831775

The Effects of Homophily in Twitter Communication Network of U.S. House Representatives: A Dynamic Network Study

SSRN Electronic Journal / Jan 01, 2015

Mousavi, R., & Gu, B. (2015). The Effects of Homophily in Twitter Communication Network of U.S. House Representatives: A Dynamic Network Study. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.2666052

The Role of Online Social Networks in Political Polarization of Elite Politicians

SSRN Electronic Journal / Jan 01, 2014

Mousavi, R., Gu, B., & Vinze, A. (2014). The Role of Online Social Networks in Political Polarization of Elite Politicians. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.2510676

Examining the Impacts of Airbnb's Review Policy Change on Listing Reviews

SSRN Electronic Journal / Jan 01, 2018

Mousavi, R., & Zhao, K. (2018). Examining the Impacts of Airbnb’s Review Policy Change on Listing Reviews. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3206895

The Impact of Twitter Adoption on Decision Making in Politics

2015 48th Hawaii International Conference on System Sciences / Jan 01, 2015

Mousavi, R., & Gu, B. (2015, January). The Impact of Twitter Adoption on Decision Making in Politics. 2015 48th Hawaii International Conference on System Sciences. https://doi.org/10.1109/hicss.2015.576

The Unintended Consequences of Stay-at-Home Policies on Work Outcomes: The Impacts of Lockdown Orders on Content Creation

SSRN Electronic Journal / Jan 01, 2020

Wang, X., Mousavi, R., & Hong, Y. (2020). The Unintended Consequences of Stay-at-Home Policies on Work Outcomes: The Impacts of Lockdown Orders on Content Creation. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3739572

Is Gang Violent Crime More Contagious than Non-Gang Violent Crime?

Journal of Quantitative Criminology / Sep 22, 2020

Brantingham, P. J., Yuan, B., & Herz, D. (2020). Is Gang Violent Crime More Contagious than Non-Gang Violent Crime? Journal of Quantitative Criminology, 37(4), 953–977. https://doi.org/10.1007/s10940-020-09479-1

Detecting Diverse Perspectives: Using Text Analytics to Reveal Sex Differences in Congressional Debate About Defense

Political Research Quarterly / Feb 25, 2022

Atkinson, M. L., Mousavi, R., & Windett, J. H. (2022). Detecting Diverse Perspectives: Using Text Analytics to Reveal Sex Differences in Congressional Debate About Defense. Political Research Quarterly, 76(1), 75–89. https://doi.org/10.1177/10659129211045048

About the social role of child and adolescent psychiatrists in times of epidemic

IACAPAP ArXiv / Jan 01, 2020

Falissard, B. (2020). About the social role of child and adolescent psychiatrists in times of epidemic. IACAPAP ArXiv. https://doi.org/10.14744/iacapaparxiv.2020.20004

Rules for War

Jun 04, 2019

Marshall, B. W. (2019). Rules for War: Procedural Choice in the US House of Representatives. Routledge. https://doi.org/10.4324/9781351149723

From ‘happy slapping’ to ‘Facebook murder’: networked media in violent crime

Social Media Homicide Confessions / Sep 20, 2017

Yardley, E. (2017). From ‘happy slapping’ to ‘Facebook murder’: networked media in violent crime. In Social Media Homicide Confessions. Policy Press. https://doi.org/10.1332/policypress/9781447328001.003.0001

Education

PhD, Computer Information Systems

Tempe, Arizona, United States of America

Links & Social Media

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