Personalizing gamification strategies to improve young adult life skills training

By making life skills education more game-like, we propose to help young adults improve valuable life skills and feel empowered in their choices.
There is a growing body of evidence to show that adding game elements into non-game contexts, a persuasive strategy known as gamification, is effective at improving students’ motivation and skill learning.
In this project we will match young adult mobile gameplay preferences with game design elements in order to teach life skills in a fun and engaging way that maximizes the motivational power of gamification.
This project is an important first step i

An Evaluation of the Reliability of Forensic Case Formulation in the Risk Assessment of Intimate Partner Violence

Intimate partner violence (IPV), also known as spousal assault and domestic violence, is the most common form of violence experienced by women worldwide. Fortunately, IPV risk assessment tools, training, and practices have improved immensely over the last 20 years. One of the areas that can still be improved is training those using violence risk assessments for evaluations to better understand the root causes of violence at the individual level.

Ongoing Development of Energy-Economy Climate Policy Models

The overall objective for this project is to support the research of two master’s students who would help advance the methods for modelling energy-climate policies, a field in which EMRG in the School of Resource and Environmental Management at SFU is one of the leading research units in the country and in which Navius Research Incorporated is the leading Canadian consulting firm, providing support to governments and other stakeholders in the development and assessment of energy and climate policy.

Evaluation of Cycling Education Programs

Fewer children are walking or bicycling to school than ever before. Programs promoting active transport to school may increase physical activity in children’s lives and allow opportunities for independent mobility. Programs may be funded by municipal and provincial governments, or other stakeholders, but on the whole typically lack evaluation. In this project we focus on evaluation activities for cycling promotion programs in elementary schools in two Metro Vancouver municipalities – Surrey and New Westminster.

Global Dynamic Financial CGE Model

This project aims to develop a dynamic financial computable general equilibrium model (CGE) with interaction between real and financial side of the world economy. It seeks to understand how monetary policy changes such as interest rate changes, QE measures, and exchange rate changes affect the real economy by applying the financial dynamic CGE model. This project collaborates with the partner organization--the Infinite-Sum Modeling Inc.—to build a CGE-FDI database and to develop the financial CGE model. 

High-throughput phenotyping of plant health using machine learning and computer vision

Phenotyping is used to develop new strains of plants, understand plant-affecting diseases (phyto-pathology) and evaluate the effects of various substances on plants. A growing variety of sensors and sensor technology is used to gather data used for phenotyping, in a non-destructive manner, and this overall process of data acquisition and analysis is being automated, leading to high-throughput pheno-typing. These technological changes pose challenges both in terms of which models to apply to these heterogeneous data, as well as the scalability of the data and analytics pipeline.

Machine learning algorithms utilization for impairment screening using balance detection

In this project the human body movement and its balance will be studied, and artificial intelligence-based algorithms will be developed in order to detect the body movement and the posture in real-time. Specific camera technology will be utilized in order to gather required data of the human movement and the environment. The data will then be filtered and analyzed. The cleaned data will then be used in a artificial-intelligence-based system to detect the status of the movement.

Assessment of Climate Change-induced Geohazards for Ice-clad Canadian Volcanoes and Mountains

In Canada’s mountains, climate change is leading to the retreat of glaciers, permafrost thawing and accelerated snowmelt. These factors contribute to a significant increase in slope stability hazards and the risk of landslides, placing numerous communities and critical infrastructure at risk. Volcanoes are particularly vulnerable as they are commonly hydrothermally altered and weakened, thereby compounding the effects of climate change and further increasing the associated risk of collapse.

Evaluate effect of chemical compounds on plants using statistics and machine learning

To understand the effects of various substances on plants in terms of yield and disease severity (phytopathology), we need to evaluate both statistical significance and biological relevance when conducting biological experiments. Biological relevance refers to the nature and size of biological changes or differences seen in studies that would be considered relevant, while Statistically significance is the likelihood that a relationship between two or more variables is caused by something other than chance.

Integrative Multi-Omics to identify Therapeutic Targets for COPD

Chronic Obstructive Pulmonary Disease (COPD) is a common illness that affects millions of Canadians, yet there are no effective therapies to treat it. Genes play a role in COPD development, and our proposal aims at identifying those genes in lung tissue that cause the disease. The Providence Airway Centre is very committed at helping COPD patients in Canada and worldwide. The proposed studies with Drs.

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