Department of Digitalization


Room: HOW/60-2.14
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E-mail: rv.digi@cbs.dk
Research directories and social medias
Curriculum Vitae
Primary research areas
  • Computational Social Science
  • Big Data Analytics
  • Social Set Analysis
  • Social Business:
    • Social Media Engagement
    • Social Media Analytics
    • Social Media Management
  • Teaching Analytics & Computer Supported Collaborative Learning (CSCL)
  • e-Government and e-Politics
  • Enactive Approach to the Philosophy of Mind
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Ravi Vatrapu is a professor of human computer interaction at the Department of Digitalization of the Copenhagen Business School, professor of applied computing at the Westerdals Oslo School of Arts Communication and Technology, and director of the Computational Social Science Laboratory (http://cssl.cbs.dk).

Computational Social Science Laboratory (http://cssl.cbs.dk) conducts transdisciplinary basic research at the socio-technical intersections of computer science and social science with specific applications to managers in companies, teachers in schools and residents in cities.

CSSL's basic research program is aimed at explaining socio-technical interactions. CSSL's applied research program seeks to design, develop and evaluate big data analytics applications for managers (descriptive, predictive, and prescriptive analytics), teachers (teaching analytics and learning analytics), and citizens (public health analytics).

CSSL aspires to conduct engaged scholarship in the Pasteur's Quadrant. CSSL's objectives are not only to make seminal contributions to scientific knowledge as evidenced by peer-reviewed publications but also to create practical applications that yield meaningful facts, actionable insights, valuable outcomes, and sustainable impacts for organizations and society.

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

  • Big Data Analytics (Data-in-Business Minor)
  • Big Social Data Analytics
  • Social Media Management

Prof. Vatrapu  is currently supervising 10 PhD students and more than 20 Master thesis students. He is interested in supervising PhD and Master projects on big data analytics, computational social science, technical projects on the enactive approaches to the philosophy of mind, teaching analytics and organizational learning.

Other teaching activities

PhD Courses: Understanding Social Media and Understanding Social Business.

Selected publications

Please see CBS Research for the complete list of publications from the Computational Social Science Laboratory (CSSL).


Journals+Conference Proceedings+Book Chapters

  • Pantazos, K., & Vatrapu, R. (in press/2016). Enhancing the Professional Vision of Teachers: A Physiological Study of Teaching Analytics Dashboards of Students’ Repertory Grid Exercises in Business Education. Proceedings of HICSS 2016, IEEE Press.
  • Flesch, B., Vatrapu, R., Mukkamala, R., & Hussain, A. (in press/2015). Social Set Visualizer: A Set Theoretical Approach to Big Social Data Analytics of Real-World Events. Mining Social Data Workshop at the 2015 IEEE International Conference on Big Data (IEEE Big Data). Proceedings of the IEEE Computer Society, IEEE Press, IEEE Xplore.
  • Vatrapu, R., Hussain, A., Lassen, N. B., Mukkamala, R. R., Flesch, . B., & Madsen, R. (2015). Social Set Analysis: Four Demonstrative Case Studies. In A. Gruzd, J. Jacobson, P. Mai, & B. Wellman (Eds.), Proceedings of the 2015 International Conference on Social Media & Society. New York: Association for Computing Machinery. 10.1145/2789187.2789203
  • Mukkamala, R. R., Iskou Sørensen, J., Hussain, A., & Vatrapu, R. (2015). Social Set Analysis of Corporate Social Media Crises on Facebook. Proceedings of the IEEE Enterprise Computing Conference (EDOC 2015).
  • Jensen, T., & Vatrapu, R. (2015). Ships & Roses: A Revelatory Case Study of Affordances in International Trade. In J. Becker, J. vom Brocke, & M. De Marco (Eds.), ECIS 2015 Proceedings. AIS Electronic Library (AISeL).
  • Tørning, K., Jaffari, Z. A., & Vatrapu, R. (2015). Current Challenges in Social Media Management. In A. Gruzd, J. Jacobson, P. Mai, & B. Wellman (Eds.), Proceedings of the 2015 International Conference on Social Media & Society. [14] New York: Association for Computing Machinery. 10.1145/2789187.2789191
  • Zimmerman, C., Hansen, K., & Vatrapu, R. (2014). A Theoretical Model for Digital Reverberations of City Spaces and Public Places. International Journal of Electronic Government Research, 10(1), 46-62. 10.4018/ijegr.2014010104.
  • Kunst, K., & Vatrapu, R. (2014). Towards a Theory of Socially Shared Consumption: Literature Review, Taxonomy, and Research Agenda. In M. Avital, J. M. Leimeister, & U. Schultze (Eds.), ECIS 2014 Proceedings. AIS Electronic Library (AISeL).
  • Lassen, N. B., Madsen, R., & Vatrapu, R. (2014). Predicting iPhone Sales from iPhone Tweets. In M. Reichert, S. Rinderle-Ma, & G. Grossmann (Eds.), Proceedings of the IEEE 18th International Enterprise Distributed Object Computing Conference, EDOC 2014. (pp. 81-90). Los Alamitos, CA: IEEE. 10.1109/EDOC.2014.20
  • Hussain, A., Vatrapu, R., Hardt, D., & Jaffari, Z. A. (2014). Social Data Analysis Tool: A Demonstrative Case Study of Methodology and Software. In M. Cantijoch, R. Gibson, & S. Ward (Eds.), Analyzing Social Media Data and Web Networks. (pp. 99-118). Basingstoke: Palgrave Macmillan. 10.1057/9781137276773
  • Robertson, S., Vatrapu, R., & Medina, R. (2010). Off the Wall Political Discourse: Facebook Use in the 2008 U.S. Presidential Election. Information Polity, 15(1-2), 11-31. 10.3233/IP-2010-0196
  • Vatrapu, R. (2010). Explaining Culture: An Outline of a Theory of Socio-Technical Interactions. Proceedings of the 3rd International Conference on Intercultural Collaboration 2010, Copenhagen, Denmark August 19 - 20, 2010. (pp. 111-120). New York: ACM. 10.1145/1841853.1841871
Publications List
Publications & dissemination
Carolina Mejia; Beatriz Florian-Gaviria; Ravi Vatrapu; Susan Bull; Sergio Manuel Madero Gómez; Ramon Fabregat / A Novel Web-based Approach for Visualization and Inspection of Reading Difficulties on University Students
In: I E E E Transactions on Learning Technologies, Vol. 10, No. 1, 2017, p. 53-67
Journal article
Nadiya Straton; Raghava Rao Mukkamala; Ravi Vatrapu / Big Social Data Analytics for Public Health : Predicting Facebook Post Performance Using Artificial Neural Networks and Deep Learning.
Paper presented at 6th IEEE International Congress on Big Data, 2017
Desiree Christina Komtesse af Rosenborg; Ida Buhl-Andersen; Line Bygvrå Nilsson; Mark Philip Rebild; Raghava Rao Mukkamala; Abid Hussain; Ravi Vatrapu / Buzz vs. Sales : Big Social Data Analytics of Style Icon Campaigns and Fashion Designer Collaborations on H&M’s Facebook Page.
In: Proceedings of the Hawaii International Conference on System SciencesLos Alamitos, CA : IEEE 2017, p. 1861-1870
Article in proceedings
Aseem Kinra; Raghava Rao Mukkamala; Ravi Vatrapu / Methodological Demonstration of a Text Analytics Approach to Country Logistics System Assessments
In: Dynamics in Logistics: Proceedings of the 5th International Conference LDIC, 2016 Bremen, Germany. . ed. /Michael Freitag; Herbert Kotzab; Jürgen Pannek. Cham : Springer The 5th International Conference on Dynamics in Logistics. LDIC 2016, 2017, p. 119-129 (Lecture Notes in Logistics)
Book chapter
Niels Buus Lassen; Lisbeth la Cour; Ravi Vatrapu / Predictive Analytics with Social Media Data
In: The SAGE Handbook of Social Media Research Methods. ed. /Luke Sloan; Anabel Quan-Haase. London : Sage Publications, Incorporated 2017, p. 328-341
Book chapter
Niels Buus Lassen; Lisbeth la Cour; Anders Milhøj; Ravi Vatrapu / Social Media Data as Predictors of Mikkeller Sales?
In: Symposium i anvendt statistik: 23.-24. januar 2017. . ed. /Peter Linde. København : Danmarks Statistik 2017, p. 71-86
Article in proceedings
Lester Allan Lasrado; Ravi Vatrapu; Kim Normann Andersen / A Methodological Demonstration of Set-theoretical Approach to Social Media Maturity Models Using Necessary Condition Analysis
In: PACIS 2016 Proceedings. ed. /Patrick Y.K. Chau; She-I Chang. Atlanta, GA : Association for Information Systems. AIS Electronic Library (AISeL) 2016
Article in proceedings
Lester Lasrado; Ravi Vatrapu; Kim Normann Andersen / A Set Theoretical Approach to Maturity Models : Guidelines and Demonstration.
In: ICIS 2016 ProceedingsAtlanta, GA : Association for Information Systems. AIS Electronic Library (AISeL) 2016, p. 20 (Proceedings / International Conference on Information Systems (ICIS), Vol. 37)
Article in proceedings
Michael J. Jacobson; Kristine Lund; Christopher Hoadley; Ravi Vatrapu; Janet L. Kolodner; Peter Reimann / Beyond Just Getting Our Word Out : Creating Pipelines from Learning Sciences Research to Educational Practices.
In: Transforming Learning, Empowering Learners: The International Conference of the Learning Sciences (ICLS) 2016, Vol. 2. . ed. /Chee-Kit Looi; Joseph Polman; Ulrike Cress; Peter Reimann. Singapore : ISLS: International Society of the Learning Sciences 2016, p. 1071-1073 (Proceedings of the International Conference of the Learning Sciences, Vol. 12)
Article in proceedings
Nadiya Straton; Kjeld Hansen; Raghava Rao Mukkamala; Abid Hussain; Tor-Morten Grønli; Henning Langberg; Ravi Vatrapu / Big Social Data Analytics for Public Health : Facebook Engagement and Performance.
In: 2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom). ed. /Alois Paulin. Los Alamitos, CA : IEEE 2016, p. 442-447
Article in proceedings
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