The shortlist for this year’s GOR Best Practice Award has been determined.
The nominees are:
„Better Together in Speed, Agility and Quality“ von Katja Birke & Christopher Kuptz (beide Produkt + Markt, Deutschland)
“Application of AI: LLM Models in Practical Market Research with Special Focus on ChatGPT” von Andreas Woppmann (Advise Research, Deutschland), Katrin Mattusch (Hochland Group, Deutschland) und Tabea Weißmann (Advise Research, Deutschland)
„Calm Down and Push the Predictive Demand Scoring (PDS) Button to Revitalize Brand Growth“ von Steffen Schmidt ((LINK Marketing Services AG, CH), Sara Jermann (FOCUSWATER, Rivella AG), Marianne Altgeld (FMCG Research, LINK Marketing Services AG), Désirée Koller (Rivella & Enertea), Matthias Biedermann (LINK Marketing Services AG) und Nikolas Petschen (Rivella AG)
„Deeper Target Group Understanding Through Artificial Intelligence“ von Silke Moser (GIM mbH) und Niklas Mrutzek (Erason).
The GOR Best Practice Award 2023 competition will take place during GOR 23 on Thursday, 21 September 2023 at the University of Kassel.
Both keynote speaker for GOR 23 are now confirmed: On Thursday, 21 September 2023, GOR will be opened with a keynote by Dr. Steffen Schmidt on the topic “The Evolution of Marketing Research: From Insights 1.0 to 5.0“. Steffen is Director Augmented Marketing und Artificial Intelligence at LINK Marketing Services AG (Switzerland). His keynote will cover the evolution of marketing research during the past three decades, passing through five key phases referred to as Insights 1.0 to Insights 5.0.
On Friday, 22 September 2023, we are happy to welcome Arie Kapteyn to the keynote stage. Arie is Director at the Center for Economic and Social Research (CESR) at the University of Southern California in Los Angeles. His keynote, titled “Population Representative Surveys, Wearables, and Contextual Data“, will illustrate both the pitfalls of modern data collection and the promise of combining population representative survey data with information from wearable devices and contextual information.
I will illustrate both the pitfalls of modern data collection and the promise of combining population representative survey data with information from wearable devices and contextual information.
The German Society for Online Research (DGOF e.V.) has extended the submission deadline for the GOR Best Practice Award 2023 as well as for the Track D Session “Innovation in der Praxis / Innovation in Practice” until Sunday, 21 May 2023 23.59 hrs.
For the Best Practice Competition, the DGOF is looking for innovative case studies that present projects in which online market research methods have been successfully implemented in companies. In particular, new and innovative methods such as virtual reality, internet-of-things, measurement of biometric data and research with wearables are welcome. Further information can be found at https://www.dgof.de/forschungsfoerderung/gor-best-practice-award/.
The GOR deals with current developments and innovations in the field of online and digital research. It will take place from Wednesday, 20 September to Friday, 22 September 2023 in cooperation with the University of Kassel. More than 300 participants from universities, institutes and companies from Germany and abroad are expected.
Further information on the GOR conference and the submission modalities for the conference programme is available at www.gor.de. Submissions can also be made via the conference website (ConfTool).
We have extended the deadline for abstract submissions for Tracks A, B and C to Wednesday, 5 April 2023, 12.00 pm CET.
Conference Date: 20 – 22 September 2023 Where: University of Kassel, Germany
Are you working on research on online and mobile web survey methodology, online market research, data science, or public opinion research, politics and online communication? Then submit your abstract to GOR, the international conference on online research in Germany. Join us in Kassel in September!
We extend the deadline for the following Tracks:
Survey Research: Advancements in Online and Mobile Web Surveys (Track A)
Data Science: From Big Data to Smart Data (Track B)
Politics, Public Opinion, and Communication (Track C)