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Hoboken, NJ | April 21, 2026

Ignite: Data Quality

The Industry’s Most Urgent Conversation on Data Quality, Trust, and the Future of Insights

Ignite: Data Quality

Call for Presentations

DEADLINE: January 23.
The long-term success and credibility of the insights and analytics industry depend on a single, foundational principle: data quality. When data quality erodes, decision-making suffers, trust breaks down, and the impact is felt across the entire ecosystem – brands, agencies, sample providers, technology platforms, and respondents alike.

At this event, we'll examine the most pressing threats to data integrity today and explore how we all can work together to produce valid, reliable, and defensible insights.

Please note:

Space on the agenda is extremely limited. Only a select number of proposals will be chosen. We will prioritize sessions that are Objective and Educational (no sales pitches or demos) and Co-Presented with Corporate Researchers (Brands/Buyers). All submissions will be reviewed by a panel of expert practitioners.
SUBMISSIONS DUE BY JANUARY 23

We invite presentation submissions that explore real-world challenges, innovations, and best practices related to data quality, including (but not limited to):

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 the 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

Space is limited, so act fast before tickets sell out!

This intimate setting ensures every voice is heard and every conversation matters.