University of Calgary

Demand for animal-source foods (ASF) is growing globally, and the consumption can improve food and nutrition security. However, there are growing food safety risks associated with milk contamination. Studies assessing food safety measures (FSM) at the farm level are still limited. This study investigated FSM adoption in Kenyan smallholder dairy farms. Data were collected through focus group discussions (FGDs) and a farm survey involving 652 farmers, which considered 11 milking hygiene, 6 milk storage, 6 environmental hygiene, and 7 animal health measures. The Food Safety Index (FSI) was 51.67%, which reveals average FSM adoption and a good agricultural practices (GAPs) compliance gap that exposes consumers to public health risks. FSM adoption was associated with participation in formal and/or informal milk value chains, socio-economic and demographic factors, knowledge of milk quality standards and regulations, farm biophysical conditions, market dynamics and institutional factors. There is a need for increasing FSM adoption through improving farmers' knowledge, supporting their access to financial resources, and providing infrastructure and services, including roads, inputs, extension and animal health services. Policymakers should design and implement policies that address specific farmers' needs. There is also a need to provide economic incentives and ensure that the market rewards dairy producers who adopt high levels of FSM that lead to safer milk. Finally, promoting the One Health approach can help farmers address human, environmental and animal health risks, which can reduce food safety risks in dairy value chains.

This paper examines the impact of community-led land-based camps as a decolonial methodology for climate disaster adaptation in northern Saskatchewan and Alberta. Centering Cree and Dene-speaking communities, the study draws from intergenerational story-sharing, Elder-led story-sharing, and spiritual practices to examine how land-based knowledge and practice address forest fires, water disruptions, and biodiversity loss. The findings of this study show the strong interconnections between land, language, mental health, identity, and resilience. Land-based camps emerge as sites of survival, cultural knowledge, and educational sovereignty, countering colonial governance and extractive climate policies. Through experiential learning, Indigenous-led research, and community-defined ethics, the camps support climate justice grounded in relational accountability and knowledge sovereignty. This chapter calls for recognizing Indigenous land-based pedagogy not as supplemental but as foundational to reimagining disaster research and policy. It advocates for institutional shifts that prioritize Indigenous governance, spiritual continuity, and land as both method and knowledge system.

Pedestrians, especially wheelchair users, face significant navigation challenges due to inadequate infrastructure. Addressing these challenges requires pathfinding services to offer optimal routes tailored to user needs. Such routes depend on detailed infrastructure data, often absent from crowdsourced maps. This study enhances OpenStreetMap (OSM) data and presents a multi-criteria, context-aware routing approach. It integrates Dijkstra’s algorithm, a Decision Tree (DT), and Ordered Weighted Averaging (OWA) for personalized navigation. The proposed framework makes two key contributions: (1) a Large Language Model (LLM)-driven OSM enrichment pipeline and (2) a custom OWA-weighted DT algorithm that adapts routes according to user preferences. Experiments on 190 routes in Calgary show the enhanced network reduces total walking distance by 25.89 km (12.45%) and travel time by 47.78 min (9.83%) compared to the original OSM-based network. The customized pathfinding method enables preference-aware routing based on criteria such as surface quality, slope, crossing safety, and lighting. Results show improvements in safety-focused profiles, with a 2.2% increase in safety-related attributes. Accessibility-focused profiles see a 5.3% increase in surface quality. Personalized routes remain efficient, averaging only 1.8% longer than the shortest available path. In 97.4% of cases, the distance stays within a 10% margin. This supports real-time routing with low computational overhead. Limitations include dependence on attribute completeness. Future research will incorporate real-time environmental conditions, expand preference-learning mechanisms, and evaluate generalizability across a wider range of urban contexts, supporting real-time routing with minimal computational overhead. • Enhances OpenStreetMap data using a multi-source enrichment pipeline. • Combines human expertise with Large Language Models to improve OSM geospatial data quality. • Cold-start routing framework combining rule-based paths, OWA, and a DT model. • Uses explicit and implicit preferences to create context-aware pedestrian routes. • Walking speed model that adapts to infrastructure and user demographic factors. • Tailored models and enriched data yield routes that better reflect user preferences.

To provide an in-depth description of an innovative Doctor of Nursing programme which prepares nurses for senior roles in healthcare and related organisations. This programme provides nurse leaders with the knowledge and skills to advance systems through healthcare innovation design, implementation, and evaluation. A comparison of doctoral nursing programmes, highlighting the unique aspects of the University of Calgary Doctor of Nursing programme. The University of Calgary Doctor of Nursing programme addresses key gaps that currently exist within nursing education. Few existing programmes directly support the development of nurses as healthcare leaders and innovators. This programme enables nurse leaders to leverage their front-line experience into senior system-level leadership roles. Each core course includes a building block assignment that develops key doctoral skills: framing research questions, appraising literature, selecting methods and data, planning ethically sound projects, and translating evidence into persuasive arguments for policy or system change. Nurses play a vital role in healthcare around the world. The University of Calgary Doctor of Nursing programme recognises the value of investing in nursing leaders and emboldening them to leverage their frontline leadership experience to advance data-driven change, innovation, and policy development in the complex healthcare systems in which they work and lead. Currently, there is a dearth of programmes available to prepare nurses for senior leadership roles in healthcare or related organisations, despite significant demand from prospective students and employers alike. The University of Calgary Doctor of Nursing programme meets the workforce demand for a programme focused on nursing leadership, to advance health systems through skill development in systems innovation, appraisal of evidence and implementation science, as well as quality assurance/quality improvement and programme evaluation. This programme focus also better equips students to examine and evaluate systemic inequities and challenges currently facing healthcare systems, practitioners and users.