Arsenic (As) is a contaminant found in ecosystems and drinking water throughout the world; it is a potent human carcinogen. Arsenic levels and speciation are controlled by a series of abiotic and microbial processes. Arsenic toxicity depends on its speciation and proper risk management is linked to predicting As speciation in various environmental matrices. Laboratory […]

This project will examine current programming across multiple sites at the Boys and Girls Club of Ottawa (BGCO) with the purpose of enhancing program quality and optimizing program operations. The project will also seek to identify current gaps in programming and the factors that lead female youth over the age of 12 to drop-out of […]

The role of this internship is to assist in reaching the SSHRC goal for the Dreamcatcher system of capturing cultural data, traditional ecological knowledge, and traditional land use, creating as full a historical, cultural, and economic record as possible, as well as strong land use management/consultation, water and asset management, and public health systems. This […]

Lately, predictive analytics as emerged as a vital area of study for both researchers and practitioners. This trend researches into large volumn of data for hidden patterns and relationships to gain data-driven insights and predict future outcomes. Predictive analytics can help the inside sales industry obtain optimum value from a large amount of data they […]

This project aims at identifying, analyzing, and documenting the operational requirements for a technological solution that will replace the currently used, time consuming, paper-based, building safety plans. Upon arriving at an incident scene, first responders rush to these on-site safety plans to know the ins and outs and the safety details of the incident scene. […]

The world’s rapidly changing climate is influencing how insects can transmit dangerous infectious diseases – from malaria to dengue fever and other previously unknown diseases – to humans. The rapid growth of new data sources from satellites to ground based sensors offer unprecedented opportunities to link these data with knowledge of the biology of insects […]

The promotion and maintenance of women’s pelvic floor health is a growing concern as pelvic disorders affect a substantial number of women and their prevalence is expected to increase as a result of Canada’s aging population. Pelvic floor disorders go beyond their physical consequences as they can negatively impact women’s psychological, sexual, and social quality […]

ICES is a non-profit organization tasked with housing and conducting research of Ontario’s health administrative data. Data is available on all legal residents of Ontario, Canada most populous province. In addition, these health administrative data are being supplemented with data from other sources, such as maternal and newborn clinical data, newborn screening data, and immigration […]

Additive manufacturing (AM) is a promising field as a sustainable alternative to traditional manufacturing processes for the aerospace sector because of the potential of low buy-to-fly ratio on materials. Cold spray offers the potential for AM of titanium parts due to its large deposition rates compared with current AM methods. However, some hurdles are found […]

Elder abuse (physical, emotional, sexual, financial abuse, deprivation, neglect) is a pressing social concern. Approximately 10% of seniors in Canada are victims of some form of abuse each year (Department of Justice, 2004). Elder abuse impacts all social, cultural and economic groups. Prevention programs have been put in place to address the underlying causes of […]

Fitness tracking is the process of tracking the fitness-related activity and metrics of a person such as heart rate, distance walked, and consumption of calories. Emerging and specialized wireless sensors and devices also enable the tracking of movements performed during workouts in gyms. This project will help improve the motion tracking experience by reporting workout […]

We propose to develop smart algorithms for document generation, by innovating in the field of natural language processing and document intelligence. We envision the next generation of business applications able to parse and understand documents, to compose documents automatically, and to respond intelligently to voice commands. Our industrial partner, Koneka Inc. has a document automation […]