Projets novateurs réalisés

Calgary as a Sustainable Tourism Destination

To understand how well a city’s socio-economic and natural systems are functioning, destinations around the world utilize indicators to measure and report on sustainability stewardship. Global Destination Movement put forth an international benchmarking framework (GDS Index) to evaluate a destinations’ sustainability performance. Sustainability is measured across 77 indicators within four categories (social, environmental, supplier and destination management organization criteria), and is aligned with the United Nation’s Sustainable Development Goals. Sustainability indicators are effective tools for igniting dialogue between stakeholders, driving change, setting targets, understanding emerging trends, creating new solutions and ideas, and can overall lead to effective policy, planning, and strategic management in the tourism sector. This project aims to utilize the GDS Index to measure Calgary’s performance as a sustainable tourism destination and overall explore strategies to improve its score. The goal of Calgary measuring and reporting within this framework is to encourage short- and long-term regenerative socio-economic prosperity throughout new market expansion in the sector.

Development of State-Space Models for Predicting Insurance Risk of Accidents in Autonomous Vehicles Based on Telematics Data and Improvements to Existing Modeling Approaches

The development of autonomous vehicles and telematics is transforming the auto insurance sector. Reports highlight Tesla’s insurance ventures predicting a significant revenue share. This shift is underpinned by telematics, which offers detailed insights into driving behaviors and vehicle usage, essential for autonomous vehicle insurance risk assessments and pricing. The research in this domain, especially in South Korea and Canada, is critical, aiming to fill the gap in mathematical statistical models for addressing liability in autonomous driving. This initiative proposes a novel state-space model grounded in telematics data, marking a significant step toward refining insurance models for autonomous vehicles. The internship aims to enhance collaboration between South Korean and Canadian researchers, leveraging gained insights to tackle existing challenges within the insurance industry and develop advanced risk assessment models. This effort is poised to spearhead advancements in autonomous vehicle insurance, influencing the industry’s future significantly. The program is designed to foster technological exchanges and boost industry growth across both nations, positioning them as leaders in the InsurTech domain.

Market Readiness Research

Subira Innovage Ltd, aka Subira is at the forefront of digital innovation, offering a solution that helps customers improve and accelerate their business processes by delivering documents digitally. With Subira’s flagship solution – Subirapro, teams can utilize e-signature technology for fast document delivery, eliminating the need for manual legacy and paper-based agreement processes that are slow, expensive, and error-prone. The team is searching for a Research personnel to aid in market readiness research and competitive insight on how best we can penetrate the market and proliferate within the industry. This project will help Subira assess the readiness of Subira’s digital solution and help the company gain a competitive advantage over established industry players.

Analysis of Complex Environmental Stress Impact of Antarctic Fish: Integrated Biophysical and Genomic Analysis of Adaptation

This project proposes a comprehensive analysis of the impact of environmental stress on Antarctic fish, utilizing an integrated approach that combines biophysical and genomic analyses to study adaptation mechanisms. By integrating disciplines, including physics and biology, this research aims to enhance our understanding of evolutionary processes and adaptation strategies of organisms in extreme environments, such as polar regions. The foundation of this study is based on whole genome sequencing data from a Korean laboratory, which will be analyzed using computational physical techniques to investigate the biological mechanisms of adaptation. This multidisciplinary methodology allows for a more in-depth examination of how Antarctic fish cope with environmental challenges, contributing to our broader understanding of genetic and physiological responses to extreme cold. The project’s outcomes are expected to provide significant insights into the evolutionary strategies of organisms in response to environmental stressors, highlighting the complex interplay between genomic adaptation and environmental conditions. This research represents a pivotal step towards elucidating the principles of life’s resilience in the face of extreme environmental pressures.

Machine Learning developer interns working within cross-functional teams to develop and commercialize AI-powered solutions in the Public Services sector (2)

AltaML builds artificial intelligence (AI)-enabled solutions to business problems. We work with organisations, bringing together their data and domain expertise with our AI expertise, to develop AI solutions that are deployed in their operations. We also commercialize AI-enabled products business via industry-specific ventures, yielding scalability from our investment in the first solution. Competition for tech talent is fierce, and our talent strategy includes a talent accelerator program, designed to rapidly equip highly qualified individuals with hands-on work experience in applied AI while providing partners with continuous and cost-effective development of AI solutions. AltaML’s AI Lab for Government, also known as GovLab, is a talent accelerator for public service professionals, post-secondary students and recent graduates. GovLab.ai’s mission is to set a global example of how to transform the public sector through applied AI, and is designed to encourage the growth of technical and business AI skill sets that are in high demand across Alberta and around the world. The project comprises internships in a variety of technical and business roles within our organization and within our GovLab program. Within the organization, roles include associate machine learning developer, business development associate, communications associate and finance associate. Within GovLab specifically, roles include associate machine learning developer, associate business solutions consultant, and project delivery associate. The difference is mainly that in GovLab, there is a focus on public sector problems, whereas in AltaML overall, we work across sectors.

[Impact du traitement Forcyl® sur les Campylobacter et les E. coli fécaux chez le bovin

La marbofloxacine est un antibiotique (fluoroqinolone de troisième génération) utilisée en médecine vétérinaire. Son effet sur la santé des animaux est bien documenté par le partenaire Vétoquinol. Toutefois, son impact sur les Campylobacter (pathogène alimentaire) et les E.coli fécaux de la flore fécale (indicateurs), n’a pas été documenté. Le but de l’étude est donc de déterminer les effets du traitement Forcyl® sur ces 2 bactéries, plus spécifiquement de mesurer l’impact de ce traitement sur leur concentration et sur la sélection de souches résistantes à la marbofloxacine. Ces travaux sont très pertients pour Vétoquinol, étant donné qu’ils appuieront l’analyse du risque pour la sécurité de cette approche thérapeutique des maladies respiratoires ou des mammites chez le bovin. Ainsi les connaissances produites permettront de documenter les impacts du traitement Forcyl® sur certains microorganismes de la microflore intestinale de l’animal dans une perspective de salubrité alimentaire après traitement, et permettront au partenaire de rencontrer les exigences de Santé Canada

Designing Service Transitions

Traditional approaches to healthcare in Canada are being transformed by new care models that address key challenges including a shifting tax base, changing consumer expectations, and the disruptive impacts of new technologies. These new care models offer an opportunity to rethink how health care services are designed and delivered. Our partners in the proposed research include practitioners engaged in rethinking how to provide services for senior citizens, deploying mental health counselling to wider audiences, and delivering new care pathways for cancer patients undergoing treatment. The goal of the proposed research is to support these practitioners by assisting in the design and implementation of care systems that integrate traditional roles and institutions with new digital opportunities, leveraging a ‘service design’ approach to orchestrate the complex set of people, processes, spaces, and technologies that must be considered to produce successful interventions.

Development of the Neural Network-Based Index Insurance : A Focus on Climate Change Risk Management

This project focuses on enhancing agricultural resilience to climate change by incorporating neural network-based optimization into weather index insurance designs. By utilizing advanced machine learning techniques, the initiative aims to improve the accuracy and appeal of insurance products for the agricultural sector, which is highly vulnerable to climate-induced weather unpredictability. The collaboration involves academia and industry partners, seeking to address current challenges such as high basis risk and low adoption rates of existing insurance models. The goal is to offer practical solutions that improve risk management in agriculture, ultimately contributing to food security and the stability of agricultural communities in the face of climate variability. Furthermore, this project will transcend the limitations of existing research by adopting generative models, a subfield of deep learning, for analysis.

Caractérisation mécanique et hygrothermique des blocs de terre comprimés à base du sol de termitière et d’un matériau biosourcé

Ce travail porte sur la formulation et l’étude du comportement hygrothermique de blocs de terre comprimée (BTC) stabilisés et améliorés par l’ajout d’un liant organique à base d’amidon, à des sols disponibles localement. Le but ultime est de diminuer les coûts et l’impact carbone des constructions. Les premiers résultats obtenus concernent la caractérisation physique, mais ses recherches exigent également une étude chimique des terres choisies et du liant organique pour maitriser l’interaction terre-liant. Les résultats des analyses élémentaires du liant organique biosourcé seront indispensables pour identifier la teneur en matière protéinique par l’analyse Infra Rouge et indiqué son état chimique. De plus, la détermination des propriétés chimiques et minéralogiques du sol de termitière Macrotermes (sp) et environnant ; ainsi que celui de Guérande révèlera les propriétés mécaniques déjà obtenues et hygrothermiques en cours de détermination. Cette nouvelle famille de BTC : terre – liant servira de valoriser les ressources de la terre dans un domaine autre que celui des briques en terre dans le secteur du Bâti, dans la protection environnementale et d’explorer une possibilité de valorisation du liant organique, nous présentons ici les enjeux et les objectifs affichés d’une telle démarche qui ouvrent la porte à des perspectives optimistes.

Modélisation du temps au retour au travail à la suite d’une invalidité en présence d’événements concurrents

THIS IS A GENERIC TEXT PUT IN PLACE AS THERE WAS NO PROJECT OVERVIEW

Collective excitations in correlated quantum materials

Building the Quantum Internet in Berlin