Conference Agenda

Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).

 
 
Session Overview
Location: Hörsaal D
Date: Tuesday, 01/Apr/2025
10:45am
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11:45am		 GOR Thesis Award I: Bachelor/Master
Location: Hörsaal D
Chair: Olaf Wenzel, Wenzel Marktforschung, Germany
12:00pm
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1:15pm		 3.4: Digital Battlegrounds
Location: Hörsaal D
Chair: Long Nguyen, DeZIM – German Center for Integration and Migration Research, Germany
3:45pm
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4:45pm		 5.4: Social Media Influence in War Times
Location: Hörsaal D
Chair: Zaza Zindel, Bielefeld University, Germany
5:00pm
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6:00pm		 6.4: LLMs as Analysis Tools
Location: Hörsaal D
Chair: Jeldrik Bakker, Statistics Netherlands, Netherlands, The
Date: Wednesday, 02/Apr/2025
9:00am
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10:00am		 INVITED SESSION II: Innovation in Practice: Smart survey techniques
Location: Hörsaal D
Chair: Stefan Oglesby, data IQ AG, Switzerland
12:00pm
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1:15pm		 INVITED SESSION III: DGOF KI (AI) Forum: Inspiration Session (Session held in English) Opportunities & Challenges in Applying AI to Market Research
Location: Hörsaal D
Chair: Yannick Rieder, Janssen EMEA, Germany
Chair: Oliver Tabino, Q Agentur für Forschung, Germany

Join us for an insightful session where experts test innovative solutions and explore the opportunities AI can bring to market research. Hear from industry experts about the current challenges in applying AI to market research and how they successfully overcome them.
2:30pm
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3:45pm		 INVITED SESSION IV: DGOF KI (AI) Forum: World Café (Session held in German) Opportunities & Challenges in Applying AI to Market Research
Location: Hörsaal D
Chair: Georg Wittenburg, Inspirient, Germany
Chair: Oliver Tabino, Q Agentur für Forschung, Germany

Engage in World Café discussions with fellow GOR participants. Discuss your personal challenges and barriers of integrating AI into market research projects and collaborate on strategies to overcome them. Share experiences and gain new insights on successfully implementing AI in market research projects.