Filled with the highest-rated submissions received via our industry-wide call for presentations, the agenda will focus on such topics as:
- Defining Research Objectives & Selecting Methodologies: How corporate researchers play a pivotal role in setting the course for a successful project
Sampling & Representation: Bias, fraud, duplicate and professional respondents, blended and non-probability samples
- Participant Experience & Engagement: Survey design, incentives, engagement, screening, and respondent burden
- Fraud, Disengagement & Risk Prevention: Detection methods, quality controls, and balancing rigor with experience
- Participant Identity & Authentication: Verifying respondents while respecting privacy and regulations
- Automation, AI & Data Quality at Scale: Where AI improves quality—and where it introduces risk
- AI Training Data, Data Reuse & Consent: Governance, consent integrity, and downstream impact of poor data
- Data Accuracy, Bias & Mitigation: Identifying and correcting inaccuracies across design, fieldwork, and analysis
- Non-Survey Data & Integrations: Strengths, limitations, and validation of alternative data sources
- Standards, Transparency & Accountability: Industry standards, disclosure, and shared responsibility