Ravi Vatrapu
Loretta Rogers Research Chair in Digital Enterprise, Toronto Metropolitan University
Professor
Ted Rogers School of Management
Ted Rogers School of Information Technology Management
Toronto, Ontario
vatrapu@torontomu.ca
Office:
(416) 979-5000 ext. 544461
Expert In
Big data analytics
Business data analytics
Computational approaches to detecting fake news
Computational social science
Computer supported collaborative learning (CSCL)
Digital transformation of organizations
Digitization of products and services
E-government and e-politics
Information technology
Social set analysis
Work, skills, industry
Bio/Research
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, Toronto Metropolitan University (formerly Ryerson). Formerly, he was a professor of ...
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Bio/Research
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, Toronto Metropolitan University (formerly Ryerson). Formerly, he was a professor of computational social science at the Department of Digitalization, Copenhagen Business School, Denmark; professor of applied computing at the Kristiania University College, Norway; and the founding director of the Centre for Business Data Analytics (http://bda.cbs.dk, external link).
Prof. Vatrapu conducts transdisciplinary basic research on big data at the socio-technical intersections of computer science and social science with specific applications to managers in organizations, teachers in schools and residents in communities. His current research, education, and consulting encompasses Big Social Data Analytics, Geospatial Analysis, Building Usage Analytics, and Bitcoin Blockchain Analytics.
Ravi’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 philosophies of computational social science, a theory of socio-technical interactions, 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.
His publication record consists of 2 edited books, 6 book chapters, 23 journal articles, 125 conference proceedings, 16 tool demonstrations, 1 doctoral consortium paper, and 2 theses and dissertation monographs. His co-authored papers have received 5 best paper awards (HICSS, ICCE, CSCL, & CABS) and 4 best paper nominations (CHI, CSCL, CABS, & LDIC) at premier conferences in the academic disciplines of information systems, learning sciences, human-computer interaction, and operations management.
He has successfully graduated 4 PhD students and mentored 5 Post-Doctoral Fellows. He currently supervises 4 PhD students at the Copenhagen Business School. Since 2009, he successfully supervised and graduated more than 125 Master Thesis students from multiple degree programs (Computer Science, Communications, Marketing, Management, Finance and Economics) at Copenhagen Business School and The IT University of Copenhagen in Denmark and Kristiania University College in Norway.
Ravi had secured about 25 million DKK (~5 million CAD) as PI/Co-PI in 11 different external research grants in competitive calls at the institutional, national and international levels.
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Prof. Vatrapu conducts transdisciplinary basic research on big data at the socio-technical intersections of computer science and social science with specific applications to managers in organizations, teachers in schools and residents in communities. His current research, education, and consulting encompasses Big Social Data Analytics, Geospatial Analysis, Building Usage Analytics, and Bitcoin Blockchain Analytics.
Ravi’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 philosophies of computational social science, a theory of socio-technical interactions, 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.
His publication record consists of 2 edited books, 6 book chapters, 23 journal articles, 125 conference proceedings, 16 tool demonstrations, 1 doctoral consortium paper, and 2 theses and dissertation monographs. His co-authored papers have received 5 best paper awards (HICSS, ICCE, CSCL, & CABS) and 4 best paper nominations (CHI, CSCL, CABS, & LDIC) at premier conferences in the academic disciplines of information systems, learning sciences, human-computer interaction, and operations management.
He has successfully graduated 4 PhD students and mentored 5 Post-Doctoral Fellows. He currently supervises 4 PhD students at the Copenhagen Business School. Since 2009, he successfully supervised and graduated more than 125 Master Thesis students from multiple degree programs (Computer Science, Communications, Marketing, Management, Finance and Economics) at Copenhagen Business School and The IT University of Copenhagen in Denmark and Kristiania University College in Norway.
Ravi had secured about 25 million DKK (~5 million CAD) as PI/Co-PI in 11 different external research grants in competitive calls at the institutional, national and international levels.
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