Media reports on socially and biologically complex neurological conditions such as autism and fetal alcohol syndrome (FAS) often fail to engage audiences in meaningful discourse. Research is needed to identify new models of scientific reporting in journalism to counteract this gap. Our goal is to investigate and analyze a new model of science reporting that combines traditional and non-traditional approaches to effectively communicate complex scientific findings about treatments for autism and FAS.

The organization partner is currently allocating video advertisement inside mobile applications. The mobile applications that publish the video advertisement are designated as publisher. To allocate the video advertisement inside the right mobile application, the potential publishers are manually searched in the Apple App store. This search process is a bottleneck. It also involves a lot of manual work and room for error. The intern will use technologies in order to gather information on the top 2 000 mobile applications in the Apple App store.

Sketch3 is an experimental software project to accelerate sketching for ideation and in various design contexts, facilitating visualization in both 2D and 3D. The goal is to evolve a paradigm for ideating rapidly with a digital stylus (2D/3D) analogous to the fluid 2D sketching experience on paper. The software is expected to remove much of the tedium of typical 3D modelling software and also suggest creative options to the user.

Addictive Mobility is the leading Big-Data online advertising company in Canada. It uses Real-Time Bidding (RTB) platform for online display advertising in mobile devices. In this domain, a number of companies compete with each other to display a specific Ad to a customer within a specific time. Thus, in such a competitive system, the goal is to develop and optimize such a system which can not only minimize the cost over the campaign period, but also send targeted ads to maximize the Return on Investment such as number of clicks or purchases.

Designers often turn to traditional or digital whiteboards (i.e., SMART Kapp) during meetings to discuss designs created in complex design software (i.e., AutoCAD). However, the transition of content from these advanced tools to and from the whiteboard can be highly disruptive to the overall sense of immersion in the design task. For instance, reproducing a design on the whiteboard for a meeting and afterwards documenting the discussed changes can be time consuming, annoying, and a potential source of inaccuracy.

To support the development of a developers' toolkit for educational digital applications that use mathematics content, Erudite Science is creating a library of mathematics content and functions. Because mathematics is such a vast field, typical application functions such as search, manipulation, and inference, frequently return irrelevant results. The search process can be facilitated through the use of semantically structured resource stores.

Data-driven decision-making plays an increasingly important role in education (Mandinach & Gummer, 2013) and administrators now require educators to use data to inform practice (Earl & Seashore Louis, 2013). Furthermore, “harnessing big data and predictive analytics has transformed many industries, yet to date, the analytics to supportnext generation learning has been missing from education” (Baker, 2013, para. 3). Therefore, the purpose of this research is to investigate how educators use learning analytics to inform instructional practices in order to ultimately improve student performance.