When a concussion occurs individuals can also experience several different subtle changes to eye movements and performance that is difficult to recognize. To understand how these eye-movement problems affect the recovery process the goal of the study is to investigate if these eye-movement problems are a result of executive functioning issues in the frontal lobe […]

The purpose of this research is to help the City of Peterborough develop a framework for engaging with key stakeholders in the city to advance the UN Sustainable Development Goals (SDGs) in Peterborough. It aims to develop a stakeholder map and a deeper understanding of the spheres of control and influence each stakeholder has on […]

The purpose of this project is to assist the infrastructure management division of the City of Peterborough to develop a climate lens assessment framework tool, which has the potential to enable the city to assess the Greenhouse Gas (GHG) emissions associated with its infrastructure projects while assessing the capacity of these projects to withstand climate […]

In 2018 the Region of Durham created the Durham Community Energy Plan (DCEP), Durham Region’s strategy for reducing greenhouse gas emissions and transitioning to a green economy. Achieving the goals of the DCEP will provide multiple economic, environmental and social benefits to Durham Region. Successful implementation of the DCEP however requires multiple groups and sectors […]

Predictive modeling is a statistical data mining approach that builds a prediction function from the observed data. The function is then used to estimate a value of a dependent variable for new data. The objective of the project is to develop predictive models by machine learning approach and data mining techniques from the large volum […]

Nicotine is a highly addictive chemical and smoking is still, to this day, the leading cause of preventable death. Several pharmacological strategies have been approved for smoking cessation and nicotine addiction treatment. However, these strategies are not always effective and lead more often than not to relapse. Hence, new nicotine cessation products and devices are […]

Different from traditional online advertising, dynamic media campaigns show different impressions (visitors to a web page) with different advertisement based on the characteristics of the impression. Infer Engine is a system that optimizes bidding for media campaigns by maximizing total profit for every impression. The theoretical foundation of the Engine is a by statistics based […]

Native Child and Family Services of Toronto (NCFST) is proposing to build a culturally inspired shelter structure in one or two parks to support trauma informed, land-based learning and community gathering for urban Indigenous communities. Participatory Action Research (PAR) with the NCFST community will answer questions about the needs and desires of the community about […]

Reducing carbon dioxide (CO2) emissions to limit the impacts of climate change requires implementation of CO2 reduction technologies across a wide variety of industries. This research project will develop carbon management and sequestration technologies for reducing CO2 emissions in the mining industry with a focus on diamond mines in Canada, South Africa and Botswana. The […]

Laridae’s The Pier will be a learning-based community platform for non-profit leaders. By choosing from a variety of subscription offerings, leaders can take advantage of Laridae’s vast learning resources online and on demand. There, they will connect via live webinar with industry professionals such as lawyers, human resource consultants, fundraising experts and other influential leaders […]

The proposed research project will result in the development of a background and scoping document to inform and assist climate change adaptation planning for the City of Peterborough and Peterborough County. It will be directed with the involvement and guidance of a municipal working group. The project will involve a literature review of relevant articles […]

An important concept in industry and science is the occurrence of rare events: events that occur with low probabilities but have significant impacts. Examples of rare events include the chance of an automobile insurance holder filing a claim or credit card accounts are compromised. The proposed project investigates applications of machine learning algorithms in the […]