At AAPOR’s 81st Conference, Arundati Dandapani, Founder and CEO of Generation1.ca, joined the 2026–27 Executive Council. Leveraging her previous committee experience, she aims to enhance AAPOR’s mission through high standards, collaboration, and public understanding of survey science, while promoting equity and inclusion within the field.
Category: Data Stories
Generation1.ca hosted Poly.technic Futures: From Classroom Promise to Student Success at Humber
Generation1.ca hosted the event “Poly.technic Futures” at Humber Polytechnic, uniting students, educators, and industry leaders to discuss inclusive ecosystems for learner success. Key themes included skills development and community partnerships. Attendees enjoyed a Caribbean lunch, and CEO and Professor Arundati Dandapani won a raffle prize, adding to the vibrant experience.
Our Dreams for Africa: AfroRise2050
In 2025, Generation1.ca CEO Arundati Dandapani launched AfroRise2050, a fellowship connecting African immigrants to their homelands and the world. Celebrating its 10th anniversary, Generation1.ca unveils “Our Dreams for Africa” anthology, highlighting the challenges faced by immigrants of colour and promoting cultural exchange, knowledge and support within and across the African immigrant diaspora.
Love Local Spotlights Generation1.ca Exhibition at Billy Bishop Airport
Generation1.ca has been invited to feature in the Love Local program at Billy Bishop Airport, from February 11–17. This recognition highlights the importance of immigrant communities in shaping Canada’s future. The event aims to showcase Generation1.ca’s commitment to immigrant inclusion and culturally-driven talent development. Visitors are encouraged to learn more.
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.
