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Dr. Ravi Vatrapu

Professor, Loretta Rogers Chair
EducationPhD, MSc, BTech
OfficeYDI1069
Phone416-979-5000 x 544461
https://scholar.google.com/citations?user=_wMf25IAAAAJ&hl=en

Overview

Ravi Vatrapu is the Loretta Rogers Research Chair in Digital Enterprise and professor of computational social science at the Department of Information Technology Management of the Ted Rogers School of Management, Ryerson University. He was formerly a professor of computational social science at the Department of Digitalization, Copenhagen Business School; professor of applied computing at the Kristiania University College; and the founding director of the Centre for Business Data Analytics (http://bda.cbs.dk).

Prof. Vatrapu’s current research focus is on big social data analytics to design, develop and evaluate a new holistic approach to computational social science, Social Set Analytics (SSA). SSA consists of a generative framework for the philosophy of computational social science, a theory of social data, conceptual and formal models of social data, and an analytical framework for combining big social data with organizational and societal datasets for generating meaningful facts, actionable insights, valuable insights, and sustainable impacts.

Prof. Vatrapu holds a Doctor of Philosophy (PhD) in Communication and Information Sciences from the University of Hawaii at Manoa (USA), a Graduate Certificate in International Cultural Studies from East-West Centre (USA), a Master of Science (M.Sc) in Computer Science and Applications from Virginia Tech (USA), and a Bachelor of Technology in Computer Science and Systems Engineering from Andhra University (India).

Business Data Analytics, Computational Social Science, Social Set Analysis, Learning Analytics & Teaching Analytics, Computer Supported Collaborative Learning (CSCL), Comparative Informatics

Publications in Refereed Journals

Yin, H. H. S., Langenheldt, K., Harlev, M., Mukkamala, R. R., & Vatrapu, R. (2019). Regulating Cryptocurrencies: A Supervised Machine Learning Approach to De-Anonymizing the Bitcoin Blockchain. Journal of Management Information Systems, 36(1), 37-73. https://doi.org/10.1080/07421222.2018.1550550.

Zheng, X., Sun, S., Mukkamala, R. R., Vatrapu, R., & Ordieres-Meré, J. (2019). Accelerating Health Data Sharing: A Solution Based on the Internet of Things and Distributed Ledger Technologies. Journal of Medical Internet Research, 21(6), [e13583]. https://doi.org/10.2196/13583, external link

Jensen, T., Vatrapu, R., & Bjorn-Andersen, N. (2018). Avocados Crossing Borders: The Problem of Runaway Objects and the Solution of a Shipping Information Pipeline for Improving International Trade. Information Systems Journal.

Kunst, K., & Vatrapu, R. (2018). Understanding electronic word of behavior: conceptualization of the observable digital traces of consumers’ behaviors. Electronic Markets. doi:10.1007/s12525-018-0301-x

Siikanen, M., Baltakys, K., Kanniainen, J., Vatrapu, R., Mukkamala, R., & Hussain, A. (2018). Facebook Drives Behavior of Passive Households in Stock Markets. Finance Research Letters, https://doi.org/10.1016/j.frl.2018.1003.1020.

Menon, K., Kärkkäinen, H., Jussila, J., Huhtamäki, J., Mukkamala, R. R., Lasrado, L., Vatrapu, R., & Hussain, A.  (2018). Analysing the Role of Crowdfunding in Entrepreneurial Ecosystems: A Social Media Event Study of Two Competing Product Launches. International Journal of Entrepreneurship and Small Business.

Vatrapu, R., Mukkamala, R. R., Hussain, A., & Flesch, B. (2016). Social Set Analysis: A Set Theoretical Approach to Big Data Analytics. IEEE Access, 4, 2542-2571. [7462188]. DOI: 10.1109/ACCESS.2016.2559584

Reimann, P., Bull, S., Kickmeier-Rust, M., Vatrapu,R., & Wasson, B (Editors).  (2016). Measuring and Visualizing Learning in the Information-Rich Classroom, external link. Routledge, New York.
Book Chapters
 
Peer-Reviewed Conference Proceedings
 

 

Other Conference Presentations and Abstracts

 

*Co-authored with graduate students

Grant or Project Title Year Amount

Social Media & Society, Carlsberg Foundation (PI)

 2018 65,000 DKK

Big Social Data Analytics for Public Health: Copenhagen Health Innovation, external link (PI)

 2016-2018 3,042,000 DKK

Big Social Data Analytics for Business:  Industriens Fond: Big Data Tema, external link, opens in new window (PI)

 2015-2018 6,200,000 DKK

Online Review Analytics, GN Audio (PI)

 2017 120,000 DKK

Rio Til Roskilde, external link, Big Data Analytics Project for Roskilde Festival w/ IBM (Co-PI)

 2015-2018 450.000 DKK

Networked Business Institute:, external link Public-Private Partnership (PI)

 2014-2017 3,363,837 DKK

PDF fileNovel Augmented Reality Services, external link: Nordic Innovation (Co-PI)

 2012-2013 CBS: 140,000/1,501,500 NOK

International Networking Grants, external link: Danish Ministry of Science (PI)

 2010-2012 1,080,000 DKK

NEXT-TELL, external link: EU FP7 Large-Scale Integrating Project (Co-PI)

 2010-2014 CBS: 589,954/8,176,135 EUR

Undergraduate

Course Code Course Title
·         ITM 501 Decision Analysis (Spring 2020)

Graduate

Course Code Course Title
MB 8002 Quantitative Methods for Business (Spring 2020)

Other

  • Big Data Analytics (Data-in-Business, Copenhagen Business School, Denmark)
  • Big Social Data Analytics (E-Business, CBS, Denmark)
  • Big Data and Analytics (Executive Masters, CBS, Denmark)
  • Visual Analytics (MSc in Applied Computing, KUC, Norway)
  • Systems Development (MSc in Applied Computing, KUC, Norway)

  • PhD, Communication and Information Sciences, University of Hawaii at Manoa, USA
  • MSc,  Computer Science and Applications, Virginia Tech, USA
  • BTech, Computer Science and Systems Engineering, Andhra University, India

  • Best Paper Award#, HICSS 2018, Hawaii, USA (List of Publications: C.114)
  • Best Student Paper Award#, HICSS 2018, Hawaii, USA (#same paper, List of Publications: C.114)
  • Best Paper Nomination, LDIC 2016, Bremen, Germany (List of Publications: C.97)
  • Best Paper Award, ACM CABS 2014, Kyoto, Japan (List of Publications: C.62)
  • Best Paper Nomination, ACM CABS 2014, Kyoto, Japan (List of Publications: C.61)
  • Best Student Paper Award*, CSCL 2009, Rhodes, Greece (List of Publications: C.22)
  • Best Paper Nomination*, CSCL 2009, Rhodes, Greece (*same paper, List of Publications: C.22)
  • Best Paper Nomination, ACM CHI 2009, Boston, USA (List of Publications: C.18)
  • Best Paper Award, ICCE 2007, Hiroshima, Japan (List of Publications: C.13)
  • Research Prize Nomination 2018, Danish Society for Education in Business (DSEB)
  • Research Dissemination Prize 2016, Danish Society for Education in Business (DSEB)
  • Research Impact: PDF fileUN Report: Mobilizing Sustainable Transport for Development, external link, former United Nation General Secretary, Ban Ki-Moon mentions Shipping Information Pipeline (SIP) as an example of IT solutions that support mobilizing sustainable transport for containerized shipping. (List of Publications: J17, C.62, C.63 & C.64)
  • Research Excellence and Industry Investment Assessment: Copenhagen Capital Region (Region H): Greater Copenhagen From Science to Business: Social Big Data, external link

Opinion Editorials

TV Interviews

Newspaper Interviews/Stories