Dr. Schüller will speak at GOR 26 about the potential of using AI in online research, as well as the associated opportunities and challenges.

About the Keynote Speaker: Dr. Katharina Schüller

Dr. Katharina Schüller is an accredited statistician (AEUStat) and is regarded as one of the leading experts in data science, artificial intelligence, and statistics. Her key areas of expertise include data strategies, data literacy, data and AI ethics, and diversity.

In 2003, she founded STAT-UP Statistical Consulting & Data Science, which she continues to lead as CEO. Together with her team, she advises international top-tier companies and federal agencies on developing data strategies and models to support evidence-based decision-making through statistics, AI, and machine learning. She shares her knowledge of data and statistics in lectures and workshops and is also known as a bestselling author.

Her achievements include several awards, such as the Special Award in Market Research from planung&analyse and the Digital Female Leader Award.

About the Keynote Topic

Artificial intelligence opens up numerous new possibilities in online research. Synthetic data, automated quality assurance, intelligent recruitment strategies, and new tools for pattern recognition promise unprecedented efficiency, while simultaneously raising fundamental questions: How reliable are AI-generated samples? Can algorithmic methods truly reduce nonresponse? And how can we prevent models from reproducing systematic biases on a large scale?

The keynote will use concrete examples to illustrate how AI can improve data quality, what pitfalls arise in automated data generation, and which competencies are necessary to work with these technologies responsibly. The goal: a realistic yet inspiring perspective on the interplay between statistics, humans, and machines, practical and future-oriented.