Research
Applied AI, analytics, responsible technology adoption, and social innovation.
Sidney Shapiro is an applied AI and business analytics researcher whose work examines how organizations, communities, and entrepreneurial ecosystems use data and emerging technologies to drive innovation, resilience, and social impact. His research focuses on responsible AI adoption, social innovation, community analytics, entrepreneurship, and organizational transformation across nonprofit, public-sector, and industry contexts. As a scholar, speaker, and applied research leader, he connects academic research with practical knowledge mobilization through publications, teaching cases, student projects, media commentary, and partnerships with businesses, municipalities, and community organizations. The goal is to help decision makers adopt analytics and AI with clearer evidence, governance, and attention to community value.
Applied AI, analytics, responsible technology adoption, and social innovation.
Keynotes and workshops on AI, digital transformation, education, and organizational change.
Collaborative research with businesses, nonprofits, municipalities, and community organizations.
Applied cases documenting entrepreneurship, innovation, and technology adoption.
My research program connects responsible AI adoption, community analytics, and entrepreneurship through a common question: how do organizations use emerging technologies in ways that improve decisions, strengthen institutions, and create public value?
This area examines AI adoption, governance, analytics strategy, decision-making, ethics, and responsible implementation in organizations. The work focuses on how leaders build capability, evaluate risk, and translate emerging technologies into accountable practice.
This area studies how nonprofits, municipalities, community organizations, and public-sector partners use data to support social impact. Projects include immigrant integration, public-sector innovation, nonprofit data systems, and evidence-informed community decision-making.
This area explores SMEs, social enterprises, entrepreneurial ecosystems, digital transformation, applied AI, and innovation strategy. It connects regional economic development with practical questions about technology adoption, growth, resilience, and responsible experimentation.
My applied research and public scholarship are designed to create institutional, community, and organizational value beyond publications.
Public lectures, workshops, media interviews, and practical resources help leaders, educators, students, and community audiences understand responsible AI adoption without hype.
Projects translate analytics and emerging technologies into use cases, dashboards, decision tools, teaching cases, and implementation guidance for real organizational settings.
Community analytics work supports municipalities, nonprofits, immigrant-serving organizations, and public-sector partners with data-informed approaches to social impact.
Graduate placements, capstones, Mitacs projects, and research assistantships create pathways for students to contribute to applied AI, analytics, and social innovation work.
Commentary in public media and university forums connects research on AI, analytics, education, and social impact to current public questions.
Keynotes and workshops for industry and community audiences connect research evidence with strategic, responsible, and actionable 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.
I am an Assistant Professor of Business Analytics at the Dhillon School of Business and an Adjunct Assistant Professor of Computer Science at the University of Lethbridge. My teaching and supervision connect applied data science, business analytics, responsible AI adoption, and digital transformation across undergraduate, graduate, and experiential learning contexts.
My work combines academic research, applied partnerships, and public scholarship. Publications and current projects span responsible AI governance, AI adoption among Alberta businesses, language models in program evaluation, nonprofit data systems, teaching cases, simulation design, community analytics, entrepreneurship, and emerging technology readiness.
I frequently collaborate with municipalities, nonprofits, SMEs, industry partners, international research teams, and student researchers. I also support public technology education as a Google Developer Group Organizer. Across these projects, the emphasis is on knowledge mobilization: producing credible research while helping organizations make better decisions about data, AI, and technology adoption.
Quoted expert in CBC News article discussing the pedagogical use of artificial intelligence in higher education, including benefits, limitations, and implications for critical thinking.
CBC News, February 6, 2026
Featured in The Globe and Mail discussing the implications of using AI for parenting advice. The
article highlights research conducted with co-authors on testing AI's capabilities for answering
common parenting concerns, published in Family Relations journal. The study found that while
AI-generated answers were mostly accurate, they lacked important cultural context and specific
citations.
The Globe and Mail, May 12, 2025
In-depth interview on the Localization Fireside Chat podcast discussing AI's current
capabilities, limitations, and the importance of maintaining human oversight in AI applications.
The conversation covered topics from AI in education to the future of technology in Canada.
Localization Fireside Chat, April 21, 2025
Featured in the Lethbridge Herald discussing AI's current limitations and realistic applications
at the Southern Alberta Council on Public Affairs session. The article covers insights on AI's
practical uses, misconceptions, and the importance of human involvement in AI systems.
Lethbridge Herald, April 13, 2024
In-depth feature article in UNews discussing the current state of AI, its implications for
society, and the balance between AI's benefits and drawbacks. The article explores topics from
AI in education to the environmental impact of large language models.
University of Lethbridge News, February 6, 2024
The University of Lethbridge's PUBlic Professor Series will feature Sidney Shapiro, Assistant
Professor of Business Analytics at the Dhillon School of Business, discussing the current state
and future possibilities of Generative AI, as well as its societal impacts. The event is
scheduled for Thursday at the Slice Bar and Grill.
Source: Lethbridge Herald
The University of Lethbridge's PUBlic Professor Series
Source: Education News Canada
The Southern Alberta B2B Tradeshow and Conference, organized by WIDA Procurement and Supply Chain Solutions, is scheduled for October 10, 2024, at the Lethbridge and District Exhibition. The event aims to showcase products and services across various industries, including consumer packaged goods, logistics, warehousing, transportation, distribution, retail, and manufacturing. Speakers include Carol Haayema, certified financial planner at IG Wealth Management; Sidney Shapiro, assistant professor of data analytics at the University of Lethbridge Dhillon School of Business; and Trevor Lewington from Economic Development Lethbridge.
Source: Inside Logistics
A University of Lethbridge event exploring the transformative potential and challenges of generative AI, part of the Public Professor Series.
Source: My Lethbridge Now