Christian Weismayer

Christian Weismayer studied Business Economics at the Vienna University of Economics and Business (WU) (1999-2011) and Technical Mathematics at the Leopold-Franzens University of Innsbruck (2003-2004). He holds a doctoral degree in social and economic sciences and was working at WU at the Institute for Tourism and Leisure Studies as a research associate from 2006 to 2011. Between 2011-2017 he was working at the Department of Applied Statistics and Economics, since 2017, he joins the School of Sustainability, Governance, and Methods (SGM), both at Modul University Vienna.

He has been teaching/supervising theses at the (under-)graduate level at Modul University Vienna, WU, University of Applied Sciences for Management and Communication (FHWien der WKW), University of Applied Sciences BFI Vienna, and was invited as guest/visiting lecturer at the University of Surrey (Guilford, Great Britain), UNIVALI (Santa Catarina, Brazil), and the Federal University of Paraná (UFPR) (Curitiba, Brazil). Within Modul University Vienna, he organizes the Research Seminar, is SGM's website channel manager, liaison officer for the European Business School (ISAG) in Porto/Portugal, first aider, and fire safety officer.

Research

He participated in/led projects funded by the Anniversary Fund of the Austrian National Bank (OeNB), the Anniversary Fund of the City of Vienna, the Austrian Research Promotion Agency (FFG), Eurostat, Statistics Austria, ESPON - EGTC (European Spatial Planning Observatory Network - European Grouping on Territorial Cooperation), and ERASMUS+ (European Region Action Scheme for the Mobility of University Students). He joins the scientific committee of the Brazilian Journal of Tourism Research (RBTUR), the editorial council of Tourism – Vision and Action (RTVA), and acts as reviewer/session chair for several journals/conferences.

His research has been published in leading international scholarly journals (ORCID) and lies in the application/development of data mining techniques, geographical information systems (GIS), text mining approaches like latent semantic analysis, text-based (verbal emotion recognition) and biometry-based (facial action coding) sentiment and emotion detection, to sustainability- and tourism-related research questions, including their transmission to interactive dashboards (example).

Courses

• BSc/BBA: Mathematics and Statistics I+II, Marketing Research and Empirical Project
• MSc: Advanced Data Analysis and Decision Making; Research Design and Methods in Practice
• MBA: Data Analysis and Decision Making
• PhD: Quantitative Research Methods I