Summary
Gain a deep understanding of the foundational pillars for successful longitudinal research. Explore the increasingly complex panel landscape and how to harness cutting-edge technologies and AI to maintain data integrity.
You’ll also learn what steps to take toward futureproofing your methodologies, elevating the quality of your research, and transforming challenges into opportunities for actionable, meaningful insights.
Throughout this session, we explore:
- How to keep fraud out of your research
- How to look at your trackers/longitudinal research critically in order to identify areas of inefficiency and optimisation
- Advice for efficiently transitioning an old tracker to a new one
Details
Register to watch this event on-demand.
Duration: 45 minutes
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Qi Wang
Chief Data Scientist, Profiles Division
Qi Wang has PhD in Digital Signal Processing with multiple Journal publications. He joined the research and panel industry in 2014 and worked on Data Science at Qmee (Now part of Kantar). During this time, Qi created and lead multiple projects, including the Qmee Yield Management Algorithm, generation-one of the Qubed.AI anti-fraud system, and more recently Generative AI based models. Qi has worked in the area of Data Quality for 7 years and wrote the whitepaper on Kantar Data Quality.
Jon Puleston
VP, Innovation, Profiles Division
Jon Puleston serves as Vice President of Innovation for Kantar's Profiles Division. In this role, he leads an international team specializing in the design and development of interactive surveys and online research innovation.
Additionally, he serves as a consultant on survey design best practice to companies around the world and on the ESOMAR Professional Standard Committee. Jon and his team have won multiple awards for their ground-breaking research-on-research exploring survey design methodology, such as their work in the field of gamification of research, survey optimisation and prediction science.