AI literacy and public education
Public lectures, media interviews, articles, and workshops help academic, business, public-sector, and community audiences understand the practical limits and responsible uses of AI.
My applied research and public scholarship focus on institutional, community, and organizational value beyond publications. The work connects responsible AI adoption, business analytics, social innovation, entrepreneurship, student research, media commentary, and public-facing knowledge mobilization.
Public lectures, media interviews, articles, and workshops help academic, business, public-sector, and community audiences understand the practical limits and responsible uses of AI.
Applied analytics and digital transformation projects produce research outputs, teaching cases, dashboards, implementation guidance, and organizational learning for businesses and community partners.
Community analytics work supports public-sector innovation, nonprofit data infrastructure, immigrant integration, municipal AI literacy, and evidence-informed social impact.
Graduate placements, capstones, Mitacs projects, research assistantships, and teaching cases create applied learning opportunities while supporting partner organizations.
Public commentary connects academic research on AI, analytics, education, and organizational change to current questions facing families, educators, leaders, and communities.
Keynotes, board presentations, municipal sessions, public lectures, and industry workshops translate research into practical guidance for responsible technology adoption.
My funded research and partnership work focuses on helping organizations adopt analytics, AI, and emerging technologies responsibly. These projects often involve students, community partners, SMEs, and public-sector organizations, creating research outputs, experiential learning, and practical organizational value.