Translation for educational change: Translator identity and the Global Storybooks project

Our research seeks to better understand challenges that translators encounter in translating stories for the diverse sites on the Global Storybooks portal (https://globalstorybooks.net/), and how they resolve these challenges. We will draw on our existing database of translation data to investigate how translators draw on a range of linguistic resources to achieve a satisfactory representation of the target translation. Practically, this data will help us to develop improved guidelines for translators, as well as proofreaders, editors, and coordinators.

Developing a Compact, Medium Range 3D Imaging LiDAR System

The main technical objective for the intern is to contribute in developing a breadboard that utilizes the laser, receiver and scanner technologies and create a potentially very small lidar.
The intern other objectives might also include:
• Investigate the transmitter choices and down?select the best one
• Examine the available detector arrays
• Evaluate whether MEMS mirrors can be used for low?power, high?frame rate applications
Adoption of compact lidar technologies is critical for Optech to remain competitive in the expanding market for lidar solutions.

Case Study Scenarios and Videos for Intercultural Competence Acquisition

To develop intercultural competence and further manage potential cultural-related challenges for international students and trainees, the intercultural competence acquisition experiences are explored in this study. The objective of this Mitacs project is to design and analyze users’ experience with six case study scenarios (Scaffolds, Scripts, & Videos) for training in intercultural competence. The scenarios correspond to Bennett's Developmental Model of Intercultural Sensitivity, which promotes a movement from Denial --> Defense --> Minimization --> Acceptance --> Adaptation --> Integration.

Program evaluation for JUMP Math: An empirical assessment of a resource for math education

Canadian math scores are in decline. Numerous studies have demonstrated the importance of numerical proficiency for outcomes such as health, employability and financial stability. Therefore, the effectiveness of a child’s math education is key to future success. It is of utmost importance, then, to identify effective math education programs. The proposed project will evaluate JUMP Math – a not-for-profit math curriculum – in a selection of schools within the Thames Valley District School Board (TVDSB).

Artificial Intelligence and Deterioration of Ocean Ecosystem

In the context of ocean sustainability of west coast of Canada, some questions that need to be considered are: what is the significance of environmental indicators related to the impact on marine aquatic species? How can changes in environment be predicted by patterns of bioindicators, for example as a result of hypoxia, affecting farmed and wild salmon? A starting point to answer these questions is the development of a centralized, common, accessible database that documents the shift in marine observation metadata collected in the area.

First Nations Philanthropy Engagement Research Project

Post-secondary education, if community-led and projects-based, has the potential to transform education, food and housing policy, as well as build capacity locally in Brokenhead First Nation compared to two First Nations lacking road access. This partnership will explore optimal solutions to resolve development challenges through applied participatory research, community engagement, community development and the establishment of two rural Indigenous community foundations.

Finances of the Nation: Data-driven policy analysis for Canada

The project will foster high-quality analysis of taxation and other public policies in Canada. We will assemble data on public finances of governments in Canada and, to make them more useful for policy analysis, we will transform the data to make them consistent over time and across geographic units of Canada. We will make the data readily available to researchers, policymakers, journalists, and others through an online open data portal.

Competency-Based Education for Airside Professionals

This project will analyze competencies (knowledge, skill, and attitude) of airside professionals conducting the taxi-ground run of an aircraft in an operational airport environment. Both cognitive task analysis and consensus modeling methodologies will be used to identify competencies and draft a competency framework of the task.

Scalable Fault Detection, Diagnosis, and Situational Awareness for Modern High-volume Data Pipelines

Globally, industries are seeking to develop new products and services from the large-scale data sets they hold. As these systems move from prototypes into fully operational 24/7/265 commercial solutions additional services must be provided to detect and address system faults and failure as they arise. Within classical engineering plants, e.g., those of the telecommunications, petrochemical, transportation, etc. industries, these tasks are performed by fault detection and diagnosis (FDD) and situation awareness solutions.

Community Engagement and Ownership of Projects Emerging from Social Innovation Labs

The purpose of the proposed research is to identify the factors and indicators that enable, or block community actors from taking ownership of a solution previously led by a social leader or government actor. The project will allow our partner and the communities they work with to gain a better understanding of factors that enable the transition of projects to ownership within the community, as well as further the available research and knowledge for other government or social led business ventures transitioning ownership to the community.

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