Category: 1/ Topic

Research Topic

  • Democracy Dialogues Lead Boldly, Inspire Globally: Meet the 2025-2026 Obama Foundation Scholars

    Democracy Dialogues Lead Boldly, Inspire Globally: Meet the 2025-2026 Obama Foundation Scholars

    Quoting from the organizers: “In a moment that former President Barack Obama describes as a “political crisis of the sort that we haven’t seen before,” we are proud to welcome the 2025–2026 Obama Foundation Scholars to the TMU campus for a special in-person episode of our Democracy Dialogues series. With three Canadians among this year’s global cohort—Victoria Kuketz (TMU’s own), Khalid Hashi, and Michelle Cartier—this is a rare chance to meet inspiring leaders working across disciplines, borders, and systems to develop solutions to some of the most pressing challenges of our times.

    Open to students, community members, and leaders from across all sectors, this event is an opportunity to engage with the Obama Scholars, and reflect on how each of us can respond to the crisis we are experiencing. Engage in meaningful discussion, connect with the next generation of global leaders, and consider the kind of world we want to build – now.

    Be part of a conversation on transforming trust into action and participation into impact.

    Learn more about the Obama Foundation Scholars here and the Democratic Engagement Exchange here.

    About Democracy Dialogues:

    Democracy Dialogues is a public conversation series hosted by the Democratic Engagement Exchange at TMU. Each episode brings together thought leaders and community voices to explore the challenges and possibilities of building a more inclusive and resilient democracy.”

    See the event recording here: https://www.torontomu.ca/arts/news-events/2025/10/democracy-dialogues-lead-boldly–inspire-globally–meet-the-2025/

  • Beyond mere automation: A techno-functional framework for reimagining gen-AI in supply chain operations

    Beyond mere automation: A techno-functional framework for reimagining gen-AI in supply chain operations

    As Generative AI (Gen-AI) continues to evolve rapidly, its potential to transform supply chain operations remains largely unexplored. Narrowing in on retail supply chain, this paper presents a taxonomy diagram that categorizes trends in Gen-AI adoption across various functions thereby mapping current Gen-AI capabilities and identifying immediate opportunities and potential challenges. We identify several key patterns in Gen-AI integration, including the automation of routine cognitive tasks, and enhancement of human decision-making capabilities. We posit that while Gen-AI shows immense promise in improving supply chain efficiency and resilience, successful implementation requires careful consideration of existing workflows, user capabilities, and organizational readiness. Finally, we present a cohesive vision for scaling Gen-AI in Supply Chain operations. Ultimately, this position paper provides insights for both practitioners looking to implement Gen-AI solutions and researchers exploring the future of AI in and for supply chain management.

    Read the full workshop report here.

  • Keeping Players Hooked: Story-Driven iGaming Ecosystem

    Keeping Players Hooked: Story-Driven iGaming Ecosystem

    This GitHub project explores how to:

    ✅ Build modular narrative systems that expand over seasons and quests. ✅ Design story-powered payment systems that turn transactions into experiences. ✅ Grow sustainable gaming enterprises around live storytelling, community co-creation, and ethical monetization. ✅ Create ecosystems where players return not out of compulsion, but love for the story.

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  • Whole-Person Education for AI Engineers: Presented to CEEA (Peer Reviewed)

    Whole-Person Education for AI Engineers: Presented to CEEA (Peer Reviewed)

    This autoethnographic study explores the need for interdisciplinary education spanning both technical an philosophical skills – as such, this study leverages whole-person education as a theoretical approach needed in AI engineering education to address the limitations of current paradigms that prioritize technical expertise over ethical and societal considerations. Drawing on a collaborative autoethnography approach of fourteen diverse stakeholders, the study identifies key motivations driving the call for change, including the need for global perspectives, bridging the gap between academia and industry, integrating ethics and societal impact, and fostering interdisciplinary collaboration. The findings challenge the myths of technological neutrality and technosaviourism, advocating for a future where AI engineers are equipped not only with technical skills but also with the ethical awareness, social responsibility, and interdisciplinary understanding necessary to navigate the complex challenges of AI development. The study provides valuable insights and recommendations for transforming AI engineering education to ensure the responsible development of AI technologies.

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  • WIP: Gen AI in Engineering Education and the Da Vinci Cube (Peer Reviewed)

    WIP: Gen AI in Engineering Education and the Da Vinci Cube (Peer Reviewed)

    As generative AI (GenAI) tools rapidly transform the engineering landscape, a critical question emerges: Are current educational innovations adequately preparing engineers for the socio-technical challenges of the future? This work-in-progress paper presents two key contributions. First, we build on prior work presenting a systematic review of over 160 scholarly articles on GenAI implementations in engineering education, revealing a predominant focus on enhancing technical proficiency while often neglecting essential socio-technical competencies. Second, we apply an emerging framework—the da Vinci Cube (dVC)—to support engineering educators in critically evaluating GenAI-driven innovations. The dVC framework extends traditional models of innovation by incorporating three dimensions: the pursuit of knowledge, consideration of use, and contemplation of sentiment. Our analysis suggests that while GenAI tools can improve problem-solving and technical efficiency, engineering education must also address ethical, human-centered, and societal impacts. The dVC framework provides a structured lens for assessing how GenAI tools are integrated into curricula and research, encouraging a more holistic, reflective approach. Ultimately, this paper aims to provoke dialogue on the future of engineering education and to challenge the prevailing assumption that technical skill development alone is sufficient in an AI-mediated world.

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  • Canary in the Mine: An LLM Augmented Survey of Disciplinary Complaints to the Ordre des ingénieurs du Québec (OIQ) (Peer Reviewed)

    Canary in the Mine: An LLM Augmented Survey of Disciplinary Complaints to the Ordre des ingénieurs du Québec (OIQ) (Peer Reviewed)

    This study investigates disciplinary incidents involving engineers in Quebec, shedding light on critical gaps in engineering education. Through a comprehensive review of the disciplinary register of the Ordre des ingénieurs du Québec (OIQ)’s disciplinary register for 2010 to 2024, researchers from engineering education and human resources management in technological development laboratories conducted a thematic analysis of reported incidents to identify patterns, trends, and areas for improvement. The analysis aims to uncover the most common types of disciplinary incidents, underlying causes, and implications for the field in how engineering education addresses (or fails to address) these issues. Our findings identify recurring themes, analyze root causes, and offer recommendations for engineering educators and students to mitigate similar incidents. This research has implications for informing curriculum development, professional development, and performance evaluation, ultimately fostering a culture of professionalism and ethical responsibility in engineering. By providing empirical evidence of disciplinary incidents and their causes, this study contributes to evidence-based practices for engineering education and professional development, enhancing the engineering education community’s understanding of professionalism and ethics.

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  • Nature Opinion: The path for AI in poor nations does not need to be paved with billions

    Nature Opinion: The path for AI in poor nations does not need to be paved with billions

    NATURE

    Researchers in low- and middle-income countries show that home-grown artificial-intelligence technologies can be developed, even without large external investments.

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  • Work in Progress: Exclusive Rhetoric in AI Conference Mission Statements

    Work in Progress: Exclusive Rhetoric in AI Conference Mission Statements

    AI conferences are pivotal spaces for knowledge exchange, collaboration, and shaping the trajectory of research, practice, and education. This paper presents preliminary findings from an analysis of AI conference mission statements, investigating how their stated goals affect who is welcomed into AI conversations. We find that many mission statements reflect assumptions that may unintentionally narrow participation and reinforce disciplinary and institutional silos. This limits engagement from a broad range of contributors—including educators, students, working professionals, and even younger users —who are essential to a thriving AI ecosystem. We advocate for clearer framing that supports democratizing and demystifying AI. By broadening participation and intentionally fostering cross-sector and interdisciplinary connections, AI conferences can help unlock more innovation.

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  • Saptarishi Futures: An Indian Intergenerational Wayfinding Framework

    Saptarishi Futures: An Indian Intergenerational Wayfinding Framework

    An Intergenerational Future Study model contextualized within Indian mythology, folklore, and generational value systems. This fusion explores ancient cultural wisdom and modern anticipatory governance to imagine just, inclusive, and regenerative futures across generations.

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  • Developing the Permanent Symposium on AI (poster): Presented at Engineering and Public Policy Division (EPP) Poster Session

    Developing the Permanent Symposium on AI (poster): Presented at Engineering and Public Policy Division (EPP) Poster Session

    A multidisciplinary, reflective autoethnography by some of the people who are building the Permanent Symposium on AI. Includes the history of the project.

    RQ 1: Challenges that unite AI policy & tech

    RQ 2: How to design the PSAI?

    RQ 3: What factors influence the adoption and scalability of the PSAI?

    This is the Flagship project of the Aula Fellowship.

    Read the Poster

  • PARADIM: A Platform to Support Research at the Interface of Data Science and Medical Imaging

    PARADIM: A Platform to Support Research at the Interface of Data Science and Medical Imaging

    This paper describes PARADIM, a digital infrastructure designed to support research at the interface of data science and medical imaging, with a focus on Research Data Management best practices. The platform is built from open-source components and rooted in the FAIR principles through strict compliance with the DICOM standard. It addresses key needs in data curation, governance, privacy, and scalable resource management. Supporting every stage of the data science discovery cycle, the platform offers robust functionalities for user identity and access management, data de-identification, storage, annotation, as well as model training and evaluation. Rich metadata are generated all along the research lifecycle to ensure the traceability and reproducibility of results. PARADIM hosts several medical image collections and allows the automation of large-scale, computationally intensive pipelines (e.g., automatic segmentation, dose calculations, AI model evaluation). The platform fills a gap at the interface of data science and medical imaging, where digital infrastructures are key in the development, evaluation, and deployment of innovative solutions in the real world.

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  • Dataset: AI Conference Mission Statements

    Dataset: AI Conference Mission Statements

    This dataset is available for collaborations. Please contact our research Director, Dr. Branislav Radeljic, Ph.D., for more information.

    Used In: Work in Progress: Exclusive Rhetoric in AI Conference Mission Statements

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