Project will see the calibration and characterization of a next-generation spectrometer for advancing both atmospheric research and the Canadian space community by providing instruments for atmospheric research for UAVs and nanosatellites. Calibrating these spectrometers will give the science community a new way to monitor atmospheric gases such as greenhouse gas or pipeline leaks with the option of a low-mass, low-cost and reliable measurement from an airborne platform.

Manufacturing of consistently high quality products is the commitment of the pharmaceutical industry. To achieve this, new products must be thoroughly tested and the results meet government-approved product specifications. Improving existing and adopting improved analytical technologies for product testing ensure the production of safe and effective products. This is particularly critical for the manufacturing of biologic products which, relative to small molecular drugs, have a larger size, are more complex in structure and are thus more difficult to characterize.

How can public legal education and information help Canadians get justice in our legal system? With the demand for publicly-funded or low-cost legal services far exceeding the supply, public legal education and information (PLEI) is filling an increasingly larger role in meeting the legal needs of people with modest means. Yet we know relatively little about how PLEI can help people deal with their legal problems. examines the effectiveness of PLEI in helping low- and modest-income people address their legal problems.

Southern Ontario is one of the most critical regions in Canada in terms of wildlife-human conflict. It has one of the highest proportions of species at-risk but also dense human population and agricultural productivity. This project proposes to research whether habitat for at-risk pollinators can be adequately incorporated onto private farmland using methods from natural and social sciences. In addition, it seeks to determine whether farmers experience a perceived and/or actual financial benefit from this habitat in the form of increased ecosystem services (e.g.

Traditional insurance models build on the assumption of independence of risks. One of the main causes of the recent financial crisis, this assumption has facilitated the quantification of risks for decades, but it has often lead to risks' under-estimation and as a result under-pricing. Importantly, one of the prime pillars of the novel concept of Enterprise Risk Management is the requirement that insurance companies have a clear understanding of risks' interconnections within the risk portfolios. However, modeling dependence is not an easy call.

Social Network Games are multi-player games played through social networking sites (e.g. Facebook). Working in conjunction with Big Viking Games, the Canadian company behind Facebook games such as YoWorld and FishWorld, this research seeks to add much needed knowledge about who plays Social Network Games, what activities they undertake while participating in these gameworlds, as well as why some people quit playing.

"Lifeguard Health Networks Inc. (LHN) has developed a secure Virtual Health Assistant application (app), to enhance supported self-management for patients with chronic and complex conditions, by leveraging their network of trusted family and friends, under the direction and guidance of health practitioners.We are conducting a study to evaluate the feasibility of the app and the level of user engagement with this form of supported self-management. This is a non-randomized, interventional study having both objective and self-reported outcome measures.

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 information will inform cultural research, treaty negotiations, and community development.

With the increase demand of 3D models in urban environment, automatic indoor modeling has attracted more attention for human trajectory identification, facility management and indoor navigation. To reconstruct indoor models quickly and reliably, this project will propose a new indoor reconstruction method to automatically generate indoor semantic building models through building ground maps and images from consumer-graded cameras. The image of building ground maps will be over-segmented and later semantically classified as ceilings, walls and other indoor elements.