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.
As 2025 ends, the insights industry reflects on AI’s transformative impact, offering efficiency, creativity, and depth in research. Leaders express gratitude for AI’s ability to enhance survey design, data integration, and emotional understanding, while emphasizing the necessity of human judgment. The collective sentiment points to AI as a catalyst for equity and innovation.
On November 18th, the Women in Research (WIRe) Toronto community will host an event focusing on the transformative power of mentorship in marketing research. Arundati Dandapani from Generation1.ca will be part of a panel discussing mentorship’s role in professional growth and inclusion. The event is free and encourages early registration.
At the 2025 SAPOR Annual Conference, Arundati Dandapani emphasized the critical role of language in public opinion research amid technological advancements. Drawing from Generation1.ca’s Global Industry Skills Study, she highlighted the need for ethical AI practices, immigrant inclusion, and the blending of disciplines to foster democracy and innovation in research.
Arundati Dandapani, Founder and CEO of Generation1.ca, engaged with Dr. Samir Abu Rumman from World of Opinions, a noted UN spokesperson and academic. They discussed future collaborations centered on public opinion research. Upcoming sessions include September 26 online on AI and trust, and November 4 in Ottawa on ethical data practices.
Generative AI, notably large language models, has transformed content creation but risks propagating misinformation due to data reliance. Addressing this requires partnerships between AI developers, media outlets, and fact-checkers to ensure reliability and transparency. Collaborations can enhance output quality, mitigate misinformation, and foster trust in AI-generated content.
