Future Ready Governance: Ethical AI and Public Sector Data Practices

On November 4, 2025, Generation1.ca hosts an event in Ottawa focusing on ethical AI and data quality in public sector research. Attendees will engage in talks, training, and networking to promote immigrant inclusion and effective policymaking. All participants receive a certificate for their contributions to ethical AI and public sector practices.

Understanding Immigrant Integration in North America with Generation1.ca

The Fuelling Immigrant Futures event highlighted North America’s multicultural landscape, where integration challenges persist for immigrants, particularly South Asians. Despite barriers like underemployment and discrimination, community-driven initiatives and cultural connections provide resilience. Ongoing research and initiatives from diverse organizations doing research on immigrants and then community organizations like Generation1.ca aim to translate insights into actionable change, fostering trust and leadership in immigrant experiences as their professional community association.

Teams CaTRIOlysts and Market Lens Tie for Silver Prize at Generation1.ca’s Spring 2025 Case Competition

Team CaTRIOlysts from Conestoga College and Team Market Lens won the Silver Prize at Generation1.ca’s Spring 2025 Case Competition. They excelled in analyzing the theme of climate, tech, and governance, delivering innovative solutions predominantly focused on blockchain technology to enhance transparency and sustainability in supply chains for Evolve Tech Motors. Hear about their journey and lessons in their interview with Founder and CEO A

Professor and CEO Arundati Dandapani on the Future of Synthetic Data Ethics

Arundati Dandapani, CEO of Generation1.ca and Professor, was featured in Humber Polytechnic’s FLAS Connect for her expertise in synthetic data ethics. Her discussion at Stevens Institute of Technology emphasized the importance of ethical oversight in sectors like healthcare and finance amidst challenges such as population decline and under-sampling of hard-to-reach groups.