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.

Instrumentation for Gauging Computational Thinking in Elementary Grades

Computational thinking is a recent and very popular addition to elementary school curricula. Computational thinking projects students undertake include five basic parts: identifying key features of a problem (decomposing), creating a model of relationships among factors (modeling) in a causal system or data, designing steps (algorithm) to solve the problem or analyze data, trying out and repairing missteps (debugging), and generalizing findings.

Designing Student Success: Building a Mobile Application to Improve Student Retention and Persistence

Ipse offers self-help to students transitioning to college or university to achieve their goals in a way that suits their personality. It uses machine-learning and crowdsourcing to recommend action plans to the students. The proposed research in collaboration with Ipse is aimed at furthering our understanding of personality traits and identification of suitable action plans based on those traits. Specifically we will survey a target population to identify common student traits and the associated action plans.

Progress on Quantitative Analysis for OCT Angiography

The light-sensing portion of the human eye, called the retina, is a highly complex structure that is nourished by several layers of small blood vessels. Diseases that lead to blindness, including Diabetic Retinopathy (which affects approximately one third of people with diabetes), often damage this network of blood circulation, causing changes to manifest in specific regions within the retina. Optical Coherence Tomography Angiography (OCT-A) is a relatively novel technology which can be used to visualize the retinal microcirculation in three dimensions.