Championing North America’s newcomer stories in a world reshaped by opportunity. A dynamic social enterprise, not-for-profit professional community association and media platform empowering immigrants with year-round programming, skills, career pathways, job fairs , collaborative networks for success. Placing you at the forefront of global transformation.
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.
Founder and CEO Arundati Dandapani’s paper, “Language Is Power: Bridging Disciplines for Public Opinion Research in Turbulent Times,” will be presented at the AAPOR 80th Annual Conference on May 16, 2025. I will discuss public attitudes toward AI. Join us in St. Louis to celebrate eight decades of public opinion and survey research.
Founder and CEO Arundati Dandapani unpacks the immigrant journey at ESOMAR Congress, emphasizing the role of empathy, synthetic data, and inclusive insights in connecting with diverse communities. Discover how brands can better understand the stages of being, becoming, and belonging to drive meaningful impact.
Samir Abu Rumman’s pre-US Election article describes the historical accuracy of US public opinion polls in predicting presidential elections, acknowledging notable failures like in 1948 and 2016. It highlights that despite significant advancements in polling techniques, the 2024 election remained too close to call, with candidates polling between 48% and 52%. The piece emphasizes the inherent uncertainties in polling due to sampling errors and shifts in voter sentiment, suggesting a critical need for humility in interpreting predictions during highly competitive elections.
Misinformation has proven to be among the most polarizing topics in 21st-century society, creating negative to severe consequences like poor … More
