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Recent Submissions
AI and Ethics: Considerations for Information Professionals
(2025-01-22) Reiche, Ingrid; Ruddock, Kathryn
The topic of artificial intelligence is inescapable in many spheres, and libraries, archives, and cultural heritage institutions are no exception. As organizations incorporate AI into their policies and strategic plans—and as the question “what if we used AI?” increases in frequency during our conversations with colleagues—it is becoming increasingly important for information professionals to be able to discern when and how to use AI, if at all, in our work. Additionally, amidst genuine interest in learning new technology and the frequent discussions of the boundless potential of AI, the inherent ethical considerations are often either downplayed or ignored completely.
In this program, three speakers will present their own experiences working with AI for various library projects. They will share both the benefits and challenges of incorporating such technologies into their work, as well as considerations for mitigating potential harm and biases that the use of AI may introduce or proliferate in our systems, applications, and shared information landscape.
In the University of Calgary, Digital Services case, we discuss our local context, how we're building an ethical space to use AI tools from a manager and team perspective, and illustrate this context using four examples.
Annual Reports
(Bow Valley College, 2025-01) Bow Valley College
Clustering-Based Improved Ant Colony Optimization for the Multi-Trip Vehicle Routing Problem with Heterogeneous Fleet and Time Windows: An Industrial Case Study
(2025-01-16) Kim, Beom Sae Shawn; Wang, Xin; Wang, Xin; Kim, Jeong Woo; Wang, Yunli; Yang, Hongzhou
The growing complexity of logistics and transportation systems has led to significant interest in solving Vehicle Routing Problems (VRP) with realistic constraints. Real-world VRP extends beyond minimizing transportation costs to include balancing workloads among drivers, managing heterogeneous fleets, and adhering to strict time windows. Addressing these challenges requires advanced methodologies that ensure operational efficiency, fairness, and adaptability to practical constraints. This thesis proposes a Clustering-Based Improved Ant Colony Optimization (CIACO) algorithm, integrating an improved Ant Colony Optimization (IACO) metaheuristic with advanced clustering techniques, including a modified density-based spatial clustering of applications with noise (DBSCAN-Plus) and a Micro-Cluster Fusion Scheme. The framework addresses the multi-trip VRP with heterogeneous fleet and time windows (MTVRPHFTW), focusing on minimizing total travel distance while handling constraints such as travel time, vehicle capacity, heterogeneous fleet configurations, customer-specific time windows, and multitrip scheduling. Additionally, it ensures balanced workload distribution among vehicles while prioritizing the use of smaller, fuel-efficient vehicles to reduce CO2 emissions, supporting both operational efficiency and sustainability goals. This thesis also discusses the development of an interactive Geographic Information System (GIS) visualization system, implemented via custom Quantum Geographic Information System (QGIS) plugins. Designed specifically to enhance the interpretability and application of the CIACO algorithm, this system bridges optimization results with GIS functionality via custom QGIS plugins, providing logistics planners with dynamic visualizations, route overlays with toggling options, advanced filtering capabilities based on metrics such as CO2 emissions, travel time, travel distance, and vehicle types, and an interactive dashboard for real-time analysis and decision-making support. These interactive features enhance the practicality of the proposed framework for real-world logistics applications, making the solutions more adaptable and actionable. The proposed framework was validated using industrial data from a Canadian logistics company, demonstrating its effectiveness in addressing complex VRP. Experimental results show that CIACO outperforms existing methods in minimizing travel distance, achieving balanced workload distribution, and reducing environmental impact. The interactive GIS system amplifies the practicality of the approach by translating optimization outcomes into intuitive visualizations. This thesis advances VRP research by integrating algorithmic optimization with GIS technologies, addressing modern logistical challenges, and offering scalable solutions for industrial applications.
From Palestine to Turtle Island: Essays on TransIndigenous Literatures
(2025-01-17) Ababneh, Mahmoud; Prud'homme-Cranford, Rain; Srivastava, Aruna; Vanek, Morgan
This manuscript dissertation/thesis explores the relationships between Turtle Island and Palestine, contributing to larger discussions in TransIndigenous studies, global Indigenous studies, and within comparative literary studies fields broadly. From Palestine to Turtle Island: Essays on TransIndigenous Literatures creates a dialogue between Indigenous arts and aesthetics centring Indigenous ways of knowing across nations, specifically on Turtle Island and in Palestine, wherein engaging with narrating history and centring Indigenous voices beyond national and exceptionalist narratives about the U.S., Israel, and Canada as colonial states. While I trace possibilities emancipating from juxtaposing Indigenous histories, I pave the way to question our current moment as an extension of settler colonial structures. This manuscript investigates how writers and artists such as Steven Salaita, Armand Garnet Ruffo, James Welch, Aicha Yassin, Charolette DeClue, and Susan Abulhawa reclaim Indigenous voices and histories, reminding readers that settler colonialism is not a past event. They also present Indigenous stories that are past, present, and futurity, surviving despite settler structures of erasure and silence. Additionally, this dissertation aims to situate Palestinian literary and cultural productions in dialogue with Anishinaabe, Cheyenne, and other productions of Algonquin Indigenous artists of Turtle Island. I examine the productive possibilities of this cross-cultural communication to uncover how Indigenous works challenge dominant narratives and offer pathways for resistance, resilience, and healing.
Typology of Performance in Teams: The Structure of Team Effectiveness and Dysfunction
(2025-01-18) Pezer, Leah; O'Neill, Thomas; Chapman, Derek; Gevers, Josette; Park, Junho; Turner, Nick; O'Neill, Thomas
Effective team effectiveness is critical for organizations seeking to thrive in a competitive and dynamic environment, where collaborative efforts are increasingly integral to achieving strategic goals. While it is commonly believed that teamwork is on a spectrum of good to bad in team effectiveness criteria such as performance, viability, and well-being, this assumption has not been thoroughly tested. Questions remain about how these three outcomes interact and relate to each other, and whether there are trade-offs among these outcomes, such as high team performance at the cost of individual well-being. This study was conducted to explore these complexities by shifting the focus from viewing team effectiveness as a single, continuous outcome to examining distinct patterns of effectiveness within teams, where various outcomes coexist and influence each other. Latent Profile Analysis (LPA) was used to test five hypothesized team effectiveness profiles, followed by Multiple Logistic Regression (MLR) to examine how team conditions relate to profile membership. The analysis identified five distinct profiles: Thriving, Striving, Mediocre, Groupy, and Surviving, each showing unique patterns in Performance, Viability, and Well-being. The MLR results had one significant result, indicating 'Purpose' was more likely to belong to the highly effective (i.e., Thriving) profile compared to Mediocre teams. This research contributes to our understanding of team effectiveness by 1) challenging the traditional approach of examining team outcomes separately, proposing instead that these outcomes are multidimensional and interconnected, 2) building on the growing body of person-centered research in the teams literature, and 3) introducing a new taxonomy of team types, offering a practical framework for organizations to classify teams and enhance team effectiveness through targeted strategies.