CV

Academic Employment

9/2019–Present: Professor of Analytics (with tenure)
McKiernan Distinguished Fellow (2017-
2021)
7/2014–9/2019: Associate Professor of Information Systems (with tenure)
7/2008–6/2014: Assistant Professor of Information Systems

Appointments

2019–Present: Academic Contributing Editor
2017–Present: Guest Editor, Artificial Intelligence and Business Strategy
2014–2018: Guest Editor, Data and Analytics

2016–Present: Associate Editor

2019–Present: Senior Editor
2016–2019: Associate Editor
Senior Editor for
"Ubiquitous IT and Digital Vulnerabilities" Special Issue

2016–2019: Research Affiliate

Education

President’s Fellowship

Student of the Year

Chemical Engineering; High Honor
President’s Scholar

Honors and Awards (selected)

Publications (Financial Times 50: academic)

Publications (Financial Times 50: practitioner)

Industry Reports

Case Commentaries

Publications (other)

Book Chapters

  • Ransbotham, S., "Introduction", in How AI is Transforming the Organization, MIT Press, 2020.

  • Ransbotham, S., "Don't Let Artificial Intelligence Supercharge Bad Processes", in How AI is Transforming the Organization MIT Sloan Management Review, MIT Press, 2020.

  • Ransbotham, S. and Mitra, S., "The Impact of Immediate Disclosure on Attack Diffusion and Volume," in Economics of Information Security & Privacy III (B. Schneier, ed.), Springer, 2012.

  • Ransbotham, S., "Electronic Messaging," in Wiley Encyclopedia of Management (Third Edition), November, 2014.

  • Ransbotham, S. and Kane, G.C., "Web 2.0," in Wiley Encyclopedia of Management (Third Edition), November, 2014.

Academic Presentation (selected / recent)

  • Ransbotham, S. Overby, E.M., and Jernigan, M.C., "“Electronic Trace Data and Legal Outcomes: The Effect of Electronic Medical Records on Malpractice Claim Resolution Time?,"” (University of Arizona), 2021.

  • Ransbotham, S. and Westerman, G., “"Agency Conflict in Internal Corporate Innovation Contests",” (George Mason University), 2021.

  • Ransbotham, S. “"Managers not Makers: Teaching Artificial Intelligence In Business",” (University of Rochester), 2021.

  • Ransbotham, S. Overby, E.M., and Jernigan, M.C., "“Electronic Trace Data and Legal Outcomes: The Effect of Electronic Medical Records on Malpractice Claim Resolution Time?",” (Erasmus University), 2019.

  • Ransbotham, S. "“Open Source Code and the Risk of Attacks based on Software Vulnerabilities",” (Wharton), 2019.

  • Ransbotham, S. “"Artificial Intelligence",” (Harvard Economic Forum), 2019.

  • Ransbotham, S. “"Open Source Code and the Risk of Attacks based on Software Vulnerabilities",” (Erasmus University), 2019.

  • Ransbotham, S. "“Open Source Code and the Risk of Attacks based on Software Vulnerabilities",” (University of Georgia), 2019.

  • Ransbotham, S. and Westerman, G., “"Agency Conflict in Crowdsourced Corporate Innovation Contests",” (Wharton), 2018.

  • Ransbotham, S. Overby, E.M., and Jernigan, M.C., "“Electronic Trace Data and Legal Outcomes: The Effect of Electronic Medical Records on Malpractice Claim Resolution Time?",” (Emory University), 2018.

  • Ransbotham, S. Overby, E.M., and Jernigan, M.C., “"Electronic Trace Data and Legal Outcomes: The Effect of Electronic Medical Records on Malpractice Claim Resolution Time?",” (Boston University), 2018.

  • Ransbotham, S. and Westerman, G., "“Agency Conflict in Crowdsourced Corporate Innovation Contests",” (Vienna University of Economics and Business, Vienna, Austria), 2018.

  • Ransbotham, S., “"Data science and biomedical discovery – - new technologies of data science",” (National Library of Medicine, Washington D.C.), 2018.

  • Ransbotham, S. "“Open Source Code and the Risk of Attacks based on Software Vulnerabilities",” (NBER Summer Workshop on the Economics of Information Technology and Digitization), 2017.

  • Ransbotham, S., “"An Empirical Analysis of Exploitation Attempts Based on Vulnerabilities in Open Source Software",” (Open and User Innovation Conference, Harvard University), 2016.

  • Ransbotham, S. and Westerman, G., “"Agency Conflict in Crowdsourced Corporate Innovation Contests",” (Open and User Innovation Conference, Harvard University), 2016.

  • Ransbotham, S., Overby, E. M., and Jernigan, M. C. "Electronic Discovery and the Effect of EMRs on Claim Resolution Time",” (NBER SummerWorkshop on the Economics of Information Technology and Digitization), 2016.

  • Kane, G. C. and Ransbotham, S., “"Which Came First? Contribution Dynamics in Online Production Communities",”(ZEW/KMRCWorkshop: User behavior and content generation on Wikipedia, Mannheim, Germany), 2014.

  • Ransbotham, S., Overby, E. M., and Jernigan, M. C. "“Improving the Malpractice System: Effect of EMRs onClaim Resolution Time",” (Workshop on Health IT and Economics, Best Young Researcher Award, University of Maryland), 2013.

  • Ransbotham, S. and N. Lurie "Mobile Marketing: The Persuasive Impact of Real-Time Reviews",” (Wharton Customer Analytics Initiative Mobile Conference), 2012.

  • Ransbotham, S., “"An Empirical Analysis of Exploitation Attempts Based on Vulnerabilities in Open Source Software",” (Workshop on the Economics of Information Security, Harvard University), 2010.

Practitioner Presentations (selected / recent)

  • AI World Keynote (Boston, MA)., "Expanding AI’s Impact with Organizational Learning", 2021.

  • Dartmouth (Hanover, NH), "Artificial Intelligence in Business" , 2019.

  • Wall Street Journal: AI Executive Forum (New York), "Artificial Intelligence: The State of Play" , 2019.

  • AI World Keynote (Boston, MA)., "Artificial Intelligence in Business Gets Real," 2019.

  • Open Data Science Conference (Boston, MA)., "Artificial Intelligence in Business Gets Real," 2019.

  • Ransbotham, S. "Artificial Intelligence in Business Gets Real," (Marketing Science Institute), 2018.

  • IDC CIO Summit (Vienna), Reshaping Business with Artificial Intelligence: Closing the Gap Between Ambition and Action, 2018.

  • Open Data Science Conference (Boston, MA)., The Adoption of AI in Business: Opportunities and Challenges, 2018.

  • Financial Services Learning & Talent Development Innovations (Boston), "Preparing your business for an AI future", 2018.

  • MIT Sloan Management Review (Webinar), "Using Analytics to Improve Customer Engagement", 2018.

  • Harvard Business Review (Webinar), "How to Harness IoT for the Bottom Line", 2017.

  • Bank of America, Data Quality \& Controls (Charlotte, NC), "Preparing your business for an AI future", 2017.

  • MIT Sloan Management Review (Webinar), "Analytics as a Source of Business Innovation", 2017.

  • Society for Information Management APC, (Webinar) "Ready or Not, Here IoT Comes", 2017.

  • Institute for Advanced Analytics (Boston, MA), "Does your Company Collect Data--- Or Hoard It?", 2016.

  • IoT Innovation Day, Museum of Science (Boston, MA), "Ready or Not, Here IoT Comes", 2016.

  • BTO Research (Milan \& Rome), "Data: Creating Value, Governing, and Securing", 2016.

  • UNCC Analytics Frontiers Conference (Charlotte, NC), "Beyond the Hype: The Hard Work Behind Analytics Success", 2016.

  • MIT Sloan Management Review (Webinar), "Beyond the Hype: The Hard Work Behind Analytics Success", 2016.

  • MIT Sloan Management Review (Webinar), "Creating a Data-Driven Enterprise: Real-Life Cases", 2016.

  • University of California - Irvine (Irvine, CA), "Ready or Not? Confronting Complexity in Data Analytics and the Internet of Things", 2016.

  • Society for Information Management APC, (Philadelphia, PA) "Ready or Not, Here IoT Comes", 2016.

  • MIT Sloan Management Review (Webinar), "Managing Data in the Internet of Things", 2016.

  • Marketing Science Institute (Washington, DC), "The Coming Reality: What You Really Need to Know about Your Customers and Your Data", 2016.

  • Society for Information Management APC, (Philadelphia, PA) "Innovation Contests: The Good, the Bad and the Valuable", 2015.

  • MIT Sloan Management Review (Webinar), "Managing Data in the Age of the Internet of Things", 2015.

  • MIT Sloan Management Review (Video), "On the Care and Feeding of Your Analytics Talent", 2015.

Honors and Awards

  • INFORMS ISS Sandy Slaughter Early Career Award (2017)

  • National Science Foundation CAREER Award

  • McKiernan Distinguished Fellow (Boston College)

  • Management Science Meritorious Service Award (2017, Associate Editor)

  • Young Researcher Award, Workshop on Health IT Economics, 2013

  • Marketing Science Institute Research Grant, 2013 (total $11,800, with Lurie and Liu)

  • Best Reviewer, INFORMS Conference on Information Systems and Technology, 2013

  • Best Paper, Knowledge Management and Business Intelligence Track, ICIS 2013

  • Boston College Carroll School of Management Undergraduate Teaching Award, 2013

  • Best Paper, Security and Privacy Track, ICIS 2012

  • Wharton Customer Analytics Initiative Modeling Mobile Customer Behavior Grant, 2011

  • Boston College Faculty Fellowship, Fall 2011

  • Information Systems Research Runner-up, Best Published Paper in 2009

  • Google and WPP Marketing Research Award, 2009 (with N. Lurie)

  • Kauffman Foundation and Greater Atlanta Regional Grants for the Study of Entrepreneurship
    and Productivity, 2009 (with F.Rothaermel and M. Higgins)

  • National Science Foundation (NSF) IGERT Assistantship 2005-2006, Alan & Mildred Peterson Foundation

  • President’s Fellowship 2003-2007

  • 2006-2007 Outstanding Student Teacher Award (College of Management)

  • 14th Annual Consortium on Competitiveness and Cooperation

Teaching Experience

Full Courses

  • Machine Learning & Artificial Intelligence (Undergraduate)

  • Analytics & Business Intelligence (Full-Time MBA Core)

  • Analytics & Business Intelligence (Online)

  • Analytics & Business Intelligence (Undergraduate and MBA elective)

  • Information System Security Management and Forensics (Undergraduate and MBA elective)

  • Information Technology for Management (MBA core)

  • Computers in Management (Undergraduate core)

  • Systems Analysis and Design (Undergraduate elective)

  • Introduction to Management Information Systems (Undergraduate core)

Executive Education

  • Executive Master of Science in Management of Technology

  • Georgia Tech Information Technology Management Partnership Program

Course Design

  • Machine Learning & Artificial Intelligence

  • Analytics & Business Intelligence

  • Information System Security Management and Forensics

  • MBA Seminar on Emerging Technologies (with Narasimhan, S.)

Short courses

  • Overview of CPLEX modeling and programming for PhD students

  • Probability and Statistics Review Course for MBA Students

  • Math and Probability Review Course for MBA Students