Meldung

07.01.2019 15:00

Invitation to guest lecture on Big Data and Higher Education

On January, 16th, 5 p.m., Dr. Achim Oberg holds a lecture on Big Data and Higher Education

Venue: INCHER-Kassel, Mönchebergstraße 17, 4th floor, 

Dr. Achim Oberg is Professor at the Institut für Mittelstandsforschung (ifm), University of Mannheim and at the Department of Management, Wirtschaftsuniversität Wien | WU, Austria

ACHIM OBERG does research at the Institute of Organization Studies at the Vienna University of Economics and Business, Austria, and at the Institute for SME Research at the University of Mannheim, Germany. He held positions at RWTH Aachen University and KIT Karlsruhe in Germany. His research focuses on organizational fields on the World Wide Web and on relational connections among concepts. To capture and analyze these phenomena he applies social and semantic network analysis methods.
Recent publications:
Powell, Walter W., Oberg, Achim, Korff, Valeska P., Oelberger, Carrie, Kloos, Karina. 2017. Institutional analysis in a digital era: mechanisms and methods to understand emerging fields. In: Krücken, G.; Mazza, C.; Walgenbach, P. (Ed.) New Themes in Institutional Analysis (305-344). Cheltenham: Edward Elgar.
Powell, Walter W., Oberg, Achim. 2017. Networks and Institutions. In: Greenwood, R; Oliver, C.; Lawrence, T.B.; Meyer, R.E. (Ed.) The SAGE Handbook of Organizational Institutionalism (446-476). Los Angeles, London, New Delhi, Singapore, Washington DC, Melbourne: SAGE Publications.
Drori, Gili and Delmestri, Giuseppe and Oberg, Achim. 2016. The iconography of universities as institutional narratives. Higher Education 71, 163-180.
Sahlin, Kerstin, Wijkström, Filip, Dellmuth, Lisa, Einarsson, Torbjörn, Oberg, Achim. 2015. The 'Milky Way' of intermediary organisations: a transnational field of university governance. Policy & Politics 43 (3), 407-424.
Contact: achim.oberg@wu.ac.at

Abstract:
Many publicly available sources for big data research projects – for instance, websites of organizations in the field of higher education, shared knowledge on Wikipedia or debates on social media platforms – contain large amounts of relational and textual data. To make use of these qualities, a conceptual lens that combines social network and institutional analysis is quite helpful: Social network analysis enables us to capture larger structures and positions of individuals and organizations within these structures; institutional analysis provides concepts and tools to make meaning structures visible. In combination, we can study field configurations in unprecedented detail on a large scale. How such an approach can be applied to science and higher education research is demonstrated by early results of a current research project on transnational intermediaries in higher education.