Fifty percent of diabetic patients are expected to develop some level of a vision threatening problem known as diabetic retinopathy (DR). Although blindness caused by DR is very common amongst diabetic patients, it is preventable in at least 90% of the patients through annual screening and proper follow up. However, financial burdens, lack of access to a specialist (specially in remote areas) to perform routine checkup and the specialists busy schedules make it almost impossible for many patients to follow up properly on the status of their disease.
Private pension plan sponsors wishing to manage their longevity risk transfer it to insurers through annuity contracts or bespoke longevity swap arrangements. They increasingly rely on such contracts to reduce their risk exposure. For example, annuity purchase activity from Canadian private pension plans expanded from $1 billion in 2012 to almost $2.7 billion in 2016 (Willis Towers Watson (2017)).
This research will determine what factors are the most significant when it comes to the personalized shopping experience from the perspective of both customers and retailers, and shed light on opportunities and options for North American retailers to innovate within the retail space. We will conduct surveys with both retailers and customers to determine the level of value that each cohort places on the various factors and data points that can improve the personalized shopping experience.
This project addresses two specific challenges related to promotional planning in the consumer-packaged goods sector. The first output will be to develop and evaluate models that statistically predict the impact of Unilever promotions on category and product share across different retailers. This effort will lead to the creation of trade promotion optimization techniques that enables planning of promotional activities.
The project is about developing a decision support tool to provide a personalized handling and treatment for Autistic Syndrome Disorder patients. This decision support tool will integrate machine learning modeling that will be used to suggest optimal and personalized guidelines for a very large spectrum of ASD patients, not available so far. Theses guidelines will be used by concerned parents, teachers and therapist that are in charge of these patients. The partner is a company that offer accompanying and training services to ASD patients’ parents and therapists.
The current land registry system in Ontario lacks efficiency and transparency; and is susceptible to information quality problems due to lack of a uniform and integrated system to record and share real-time data about land property transactions across stakeholder organizations. To overcome such issues, many countries are turning to blockchain technology to enable land registration transactions.
Corporate employees face a range of ethical pressures and challenges; in some cases, employees fail at these challenges, and the result is often bad for employees, for employers, and for the Canadian public. Ethics education in post-secondary settings and corporate ethics training may help, but needs to be designed in a way that takes account of the specific kinds of challenges and pressures employees actually face. First-hand testimony suggests young people (in their 20s) face special challenges and special risks because of their junior status in the workplace.
The partner is experiencing difficulties in finding an efficient solution for planning and scheduling the production in meal processing plants. The challenges involve rapid degradation of fresh food ingredients, a wide variety of products and demand which cannot be predicted in advance. The partner spends a lot of time on tactical management of business activities. During this research, the intern will analyse the current business practices and provide a scientific solution to production planning in the food industry.
This project uses the purchase history data from loyalty member cards at the basket level (i.e., all items bought by a customer during a particular trip) for customers under the loyalty program of a chain drug store to develop a model that can generate a realistic future “customer shopping list” (i.e., customer baskets) using the novel machine learning technique of Generative Adversarial Networks (GAN).
The rise of local corporate–community conflicts surrounding development projects represents a trend rather than exceptional events, highlighting corporate–community relations as a prominent strategic issue. Despite the emergence of these issues for businesses, civil society, and governments, we still have a limited understanding of the conditions necessary for building and maintaining good relations over a long period of time and at all stages of a project’s life cycle.