As the landscape of survey research continues to evolve, the rise of digital tools and automation brings new challenges to researchers. One of the most pressing concerns is the increasing presence of bots and fraudulent data, which can undermine the integrity of research and lead to invalid results. In the complex age of AI, understanding how to maintain quality data is critical for researchers, organizations, and decision-makers alike.
This event brings together survey research professionals to address these issues head-on and discuss how to safeguard research from fraudulent manipulation, ensuring that findings remain reliable.
Join a panel of experts for a thought-provoking conversation on the impact of bots and fraudulent data in survey research. We’ll explore best practices for detecting and preventing bot participation, identifying and cleaning fraudulent data, and addressing the challenges posed by imposter respondents.
Learn from real-world experiences and gain insights to strengthen your research integrity.
Location: Virtual via Microsoft Teams
Panelists
Sara Maria Stretton
PhD Candidate
Department of Health and Rehabilitation Sciences, Western University
David Hammond
Professor
University Research Chair
School of Public Health Sciences, University of Waterloo
Steven Snell
Head of Research (SVP)
Rep Data
Kyle Mcgee
Assistant Vice-President, Statistics
Leger
Lindsey Webster
Senior Manager
Statistical Consulting and Survey Research Unit, University of Waterloo
Andrew Mercer
Principal Methodologist
Pew Research Center