Although life cycle assessment (LCA) is a robust eco-design tool, its capacity to inspire creative ideas among designers is unclear. LCA is often used as a portrait of a product’s environmental hotspots, which are then addressed as design compromises. This highly technical design method usually leads to incremental improvements of products, and appears to do little to foster radical innovation.

The goal of this project is to evaluate the data quality of the citizen science Golden Eagle count data collected by the Rocky Mountain Eagle Research Foundation and to determine the population trend over 25 years. Since 1993 they have collected data, consisting of daily raptor migration counts in the Fall and Spring seasons. It is vital to determine the usefulness of the citizen science data, check and evaluate its quality and determine whether available datasets are suitable for further research or not.

In the past decade, the development of sophisticated sensors attached to animals (tags) have researchers to infer of horizontal and vertical movement of marine animals across time and space. The amount of data collected from these tags along with the analytical challenges surrounding the extraction of behavioural patterns has presented a significant barrier for researchers to adopt this technology.

Detection of fights and anomalous behavior of individuals in a crowd is a common problem in computer vision. Some tools that currently exist rely on optical flow of tracked features is a sequence of video frames. These motion algorithms are sensitive to independently moving objects in the frame. What constitutes an “anomaly” is context (eg. location) specific, thereby adding to the complexity.

DriveABLE Inc uses a set of simple video tasks to identify the impaired drivers. Video tasks come in the form of simple games and measure cognitive ability. The test results are analysed by AI powered algorithm that predicts the impairment level of the driver. Our project’s main objective is to redesign the AI in such a way that it can cover more use cases with fewer tasks. In particular we will redesign the algorithm so that it will accept incomplete tests. We will also identify redundant games in order to make overall test shorter.

The rapid advancement in the areas of machine learning and artificial intelligence has led to many breakthroughs in industries. As an online medium legal intermediary platform, Right Legal aims to connect clients and lawyers by providing them with a secure, convenient, and efficient platform. In order to accomplish this, we take into account of (1) the resourceful text information generated from the platform (e.g., the request and feedback from clients), (2) the lawyers’ profiles, and (3) the service quality offered by the lawyers.

We are on the doorstep of a quantum revolution in modern science, perhaps most significantly in the development of new types of information and communication technologies, and Canada has positioned itself as a world leader in these efforts. This proposal includes an expansion of research into quantum information and communication by the University of Guelph’s David Kribs, in collaboration with the African Institute for Mathematical Sciences (AIMS), which has identified quantum information as an area of fundamental importance to its network.

This project will investigate the use of RADAR data to estimate the ocean surface velocity in regions of interest, specifically where tidal turbines will be deployed in Minas Passage, Bay of Fundy. The Fundy Ocean Research Center for Energy (FORCE) currently owns a single RADAR on the North side of the Minas Passage. Initial investigations have been done with this single RADAR; however, more intensive analysis must be done to reach the long-term goal of having a network of RADARs in the area.