The BANDAS Center deals with technologies that are used for very large, heterogeneous and volatile data volumes (big data). The basis of such data-based technologies can be classical statistical approaches or information systems as well as methods of machine learning and artificial intelligence. The central focus of the Center is on the design of these technologies and their transformation potential for organizations and society. In the spirit of design science research, prototypes for practical problems are developed and evaluated in relation to organizations or society.
With regard to organizations, research is being conducted into how data-based technologies can be used as effectively as possible in practice. This means that the transformation of business processes, working practices and roles is examined, as well as the potential for new business models and innovations. The findings from these studies are incorporated into the design and conception of data-based technologies, for example via design guidelines.
In relation to society, we investigate how data-based technologies change power relations, social practice and practices and how (changing) social values, ideas and norms affect technology development and which design requirements result from this.
Both research perspectives take into account the influence of ethical and regulatory frameworks. In their design orientation, both research perspectives combine the use of data science methods and current technologies.
History
Technological innovations can significantly change the social and economic circumstances. We are currently experiencing advancing digitalization in many areas of social, cultural and economic life.
Digitalization has created very large and complex amounts of data (big data). Applications that are based on these data volumes and that process the data automatically on the basis of artificial intelligence and machine learning are already widespread in society and the economy. In the future, these data-based applications will increasingly influence people's actions in an economic, cultural and social context.
In March 2019, the decision was made to establish the Center for Data Science in Business and Society – BANDAS in order to bundle the expertise and research in the field of big data and data science at the Faculty of Social Sciences and Economics. By expanding the relevant methodological expertise, new research directions can now also be set.
Univ.-Prof. Dr. Stefan Thalmann
Leitung +43 316 380 - 7600
Institut für Operations und Information Systems
nach Vereinbarung
https://business-analytics.uni-graz.at
Amtsrätin Sonja Schreckmair
Office Management +43 316 380 - 3560
Institut für Operations und Information Systems
Montag bis Freitag von 9:00 - 12:00 Uhr und (in der Vorlesungszeit:) Mittwoch, 14:00 - 15:00 Uhr
