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Research Assistant - AI & Policy, CAIAI, University of Waterloo May - July 2025
During the summer of 2025, I worked as a Research Assistant under Professor Joel Blit for the Canadian AI Adoption Initiative (CAIAI). I focused on addressing Canada's productivity crises by addressing the barriers to mass AI adoption. My work involved benchmarking international AI strategies and proposing novel, evidence-based metrics to track and drive AI adoption across the Canadian economy.
Key Responsibilities & Impact
Key Responsibilities & Impact
I was hired to conduct research on (1) the best policies for driving mass AI adoption, focusing on empirical evidence; (2) other countries' AI adoption strategies; (3) existing AI adoption metrics/data, and (4) novel AI adoption metrics.
My work included:
Benchmarking & Strategy: Led a comparative economic analysis of national AI adoption strategies across the U.S., UK, France, and Singapore to identify strategic gaps in Canada's productivity trajectory.
Knowledge Synthesis: Produced literature reviews and presentations for CAIAI leadership.
Metric Innovation: Evaluated global indices (OECD, Stanford HAI) to propose novel indicators and data sources for the development of a "Canadian AI Adoption Index."
Evidence-Based Policy: Synthesized macroeconomic literature and institutional research into actionable policy briefs focused on driving mass AI adoption.
Stakeholder Engagement: Translated complex economic theory into concise research briefs for workshops that convened government representatives, industry leaders, and academic experts.
6 SKILLS I DEVELOPED THROUGH THIS ROLE:
6 SKILLS I DEVELOPED THROUGH THIS ROLE:
1. Literature Review
1. Literature Review
Conducted rigorous reviews of academic and institutional research to identify evidence based AI-adoption policies.
2. Comparative Analysis
2. Comparative Analysis
Compared national AI adoption strategies across the U.S., UK, France, Singapore, and Canada to identify best practices and gaps.
3. Research & Analysis
3. Research & Analysis
Analyzed policy frameworks, economic evidence, and adoption data to inform national AI strategy development.
4. Literature Synthesis
4. Literature Synthesis
Synthesized complex economic and policy research into clear, actionable insights for decision-makers.
5. Collaboration
5. Collaboration
Worked closely with colleagues to develop and present research findings for leadership and expert workshops.
6. Presentation
6. Presentation
Produced concise research briefs and presentation decks tailored to policymakers, academics, and industry leaders.
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