State of the Americas: Boosting Census Strength for Model Quality and Predictive Performance
In an AI-driven research world, synthetic data is only as strong as the population data that grounds it.
At IIEX.AI 2026, I will be leading a presentation State of the Americas: Boosting Census Strength for Model Quality and Predictive Performance, where I will also joined by Leonardo Valente, CTO and Co-Founder of Livepanel, who will complement some of the insights we have been working on from our unique vantage points in working with population level data and community data to train synthetic models grounded in human truth.
Using a case study focused on the Americas, we will explore the direct connection between census strength, population representation and predictive accuracy. When population data is incomplete, uneven or outdated, those limitations can flow into synthetic datasets and the models built from them weakening their relevance, reliability and ability to reflect the people and markets they are intended to represent.
This session will show how stronger census foundations can improve model quality and help researchers use synthetic data more responsibly and effectively. We will also introduce a practical lens for evaluating model trustworthiness, risk and business relevance.
Census-based synthetic modelling is not simply a technical exercise. Done well, it can become a competitive advantage—supporting smarter insights, stronger predictions and more trustworthy decisions.
Join us virtually at IIEX.AI 2026 on September 23 at 11:30 AM EDT to examine what better representation can make possible for research across the Americas, particularly at a time of high geopolitical debate and relevance around population measurement in the US.
Three key takeaways:
- The link between census strength, representativeness, and predictive accuracy.
- How to use synthetic data more responsibly and effectively in insights work.
- A practical lens for evaluating model trustworthiness, risk, and business relevance.
