The Relationship between Community Data, Non-Probability Samples, and Population-level Datasets: CEO Presentation at the University of Michigan

On October 5, CEO Arundati Dandapani will present at the University of Michigan on the challenges of representing diverse populations in research. She will discuss community-based approaches and the limitations of different research methods, emphasizing the importance of recognizing data limits while still informing programs and decision-making. Our CEO’s work spans data, analytics, insights and storytelling, with a particular focus on immigrant experiences, workforce inclusion and turning research into programs and decisions.

AI Governance in Latin America

In March, I presented at ESOMAR’s LATAM Congress on the role of methodological innovation in responsible AI governance. My research discusses using ethically governed synthetic datasets to understand hard-to-reach immigrant groups. I address AI governance trade-offs and emphasize the need for careful strategic decisions to balance privacy, innovation, and social inclusion.

Generation1.ca at AAPOR 2026: Expanding Representation, Rethinking Citizenship, Reshaping Research

Arundati Dandapani, Founder and CEO of Generation1.ca, will contribute to AAPOR 2026 through presentations on Census-Based Microdata and The Nationality Paradox, the latter within a global panel she is chairing. The session also marks an inaugural AAPOR-WAPOR collaboration advancing more inclusive and globally connected research.

Modelling Migration: Innovative Future-telling in Latin America

Generation1.ca, a North American organization focused on immigrant supports and inclusion, will present research with Livepanel’s synthetic modelling tools at Esomar’s LATAM 2026 Conference. Founder and CEO Arundati Dandapani’s paper reinterprets migration dynamics, revealing that social inclusion predict immigrant retention more than arrival pathways. The study emphasizes the structural factors crucial for immigrant success, highlighting the importance of culturally sensitive workplaces and innovation readiness.

Learn about Data Quality at CIPHER in DC

From February 25–27, global leaders in research will discuss maintaining data quality and accountability as AI evolves insight production. CEO Arundati Dandapani will lead a session and specifically present on synthetic data’s governance implications, emphasizing its impact on immigrant representation. The session aims to integrate multiple perspectives on ethical data practices amid AI advancements.