Düsseldorf is the bustling Rhine metropolis right at the heart of Europe
but tradition is of great importance in Düsseldorf – this is especially
apparent during the “fifth season”, when the carnival followers take over
in the city. This years’ GOR is a little too late for carnival but Düsseldorf
has much more to offer than just crazy fun: Founded in 1965, the Heinrich-Heine-University (HHU) now is a full-scale university with five faculties in Medicine, Life and Natural Sciences, Humanities and Social Sciences, Economics and Business Administration, and Law, respectively. A
particular strength of HHU lies in its collaborative research activities. The
Faculty of Philosophy shows this in particular. Here in this faculty, in the
department of social sciences, this years’ GOR is hosted.
Online research is also often based on an interdisciplinary approach: The
recent GOR program shows the open character of this conference. The
emphasis lies on online research methodology – in addition this years’
program has a focus on social media research, a field which is evolving
as fast as social platforms. For two conference days the presentations
(papers, discussions and posters) are condensed in three tracks:
Track 1: Presentation on Online Research Methodology and
Internet Surveys
Track 2: Presentation on Applied Online Market Research
Track 3: Presentation on Social Media Research and Civil Society
Our Keynotes, Prof. Joe Walther from Michigan State University who will
talk about social media, relationship theories, and civil society and George Terhanian from Toluna who will consult the future of online market
research shows another tradition of GOR: The conference is a meeting
point for practitioners and academics. So, within the framework of the
conference, we will for the fourth time grant the award for the “Best Practice in Commercial Online Market Research”. Papers presented by Gruner
& Jahr, Lufthansa, Telekom Austria, Ford and MAM – competing for this
prize.
Monika Taddicken
Applied Research Data Science Digital Methods Online Research Survey Research