As young people increasingly move away from institutionally-driven “dutiful citizenship” (Bennett, 2008), political participation is no longer only defined by voting in elections, volunteering with civic associations and town hall meetings but increasingly manifests through participatory politics - peer-based acts like citizen journalism, podcasting, video production, art projects, tech-based activities, digital activism and lifestyle politics (vegetarianism, localism, boycotting). These approaches are expanding the boundaries civil society through new forms of citizenship.

Although inside sales is the fastest growing title in the sales industry with companies hiring inside salespeople at a much higher rate than outside salespeople, little is known about the types of activities that drive their success, particularly the conversion of leads to customers (i.e., customer acquisition). Accordingly, the current project aims to develop a data-driven lead conversion model that incorporates key factors of a selling situation.

Journalism in Canada and elsewhere has been disrupted by changes in technology, in markets, and in people?s habits of news consumption. This disruption has been bad for business, and over one-third of journalists have in Canada lost their jobs in the last decade. It?s also been bad for public knowledge, as seen by the rise of fake news and misinformation. This project will examine whether journalism organizations can collaborate with academic institutions to address both challenges. Can such collaborations help address revenue or capacity problems that journalism organizations face?

Deep Learning is the new, and fast growing bread of systems based on artificial neural networks. These are phenomenal at learning patterns and generating new pattern that have the characteristics of the data the system was trained on. One of the main artistic and creative use of Deep Learning is to process images, pictures video. One typical task is that of style transfer by which the style of one image is used to shape the rendering of the one provided by the user.

Building on Canada’s rich history as a participatory media producer, the project partners aim to use the democratic power and potential of media to help build a stronger, more inclusive Canada by creating opportunities for Canadians to talk and especially listen to each other: one-on-one, with friends, mothers, daughters, neighbours and strangers.

The Garry Oak Ecosystems Recovery Team (GOERT) is a non-government organization that endeavours to inform the public of their scientific findings and conservation goals. Social media has been used for conservation outreach, but the role of the public in sharing tweets and posts can have mixed effects. What information are shared by the public can either further share scientific information, maintain false information in the public sphere, or be ignored without any uptake.

According to the Canadian Institute for Health Information, many of Canada's increasing aging population experience physical and cognitive impairments that necessitate moving to a care facility, with 44% of these residents having or indicating symptoms of depression. Social isolation is a contributor; 22-42% of these residents reported feeling severe loneliness. Video chat sessions have been found to be valuable augments to in-person visits. However, for adults with impairments such as dementia, operating the associated technologies might be impossible.

With more and more buildings being controlled by automation systems, one would expect their energy performance to be optimised. This is not the case however. Buildings can still go out of tune, and building operators can become overwhelmed by the alarms sounding from the automation systems, not knowing how to prioritize them. SES consulting is well poised to provide a “human in the loop” performance analysis service, leveraging their expert knowledge and the data from the building automation system.

User intention prediction of event data, collected during the business process, has become an important topic in Web Analysis and Business Intelligence. Commercial organizations have realized its importance for providing cost-effective opportunities to improve their decision-making in digital marketing strategies. We aim to develop and implement a statistical prediction model to make the prediction of user intention, using the retroactive video tracking data, while the anonymous customer navigates on the website.