Projets novateurs réalisés

Explorez des milliers de projets réussis issus de la collaboration entre organisations et talents postsecondaires.

29 670 projets achevés

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Projets par catégorie

Visible Power: Genesis of the Elaboration of Contemporary Capital Cities, 1850-2000 (Based on the Cases of Brasília, Ottawa, and Astana)

This study, based on the archival research in the National Archives in Brasília, aims to research the conception and construction of this city, which became a new capital of Brazil since 1960. More specifically, the investigation focuses on three phases of the elaboration of Brasília: the legislative and executive activities aimed at choosing and promoting its new site; the design competitions for the governmental buildings and district; and the inauguration ceremony that took place in 1960. Through an interdisciplinary and comparative analysis of these moments I propose to rethink intellectual and political projects of Brazilian authorities who established a new capital in order to understand how their aspirations, utopias, and compromises were translated into the form and the architecture of a city. This investigation also aspires to accurately historicize the correlation between urban planning, architecture, and nation-building in the case of Brazil, where the capital city was moved several times since the 18th century.

Voir la description complète du projet
Superviseur du corps professoral :

Michèle Dagenais

Étudiant :

Partenaire :

Universidade de Brasília

Discipline :

Sociology

Secteur :

Université :

Université de Montréal

Programme :

Globalink Research Award

Predicting Impact of Biological Research Manuscripts

Meta’s Bibliometric Intelligence is a service platform to provide automated and in-depth manuscript assessment to authors and publishers in biological science. This internship project is to develop a new version of Bibliometric Intelligence. The intern will apply state-of-art machine learning and natural language processing skills to improve its performance. Accurate assessment and profiling of manuscript by the new Bibliometric Intelligence will allow researchers and publishers to pre-rank manuscripts efficiently, and to reduce the unnecessary painful submission waiting time. Success of this project will not only bring in business values to the partner organization, but also greatly benefit the research publication eco system.

Voir la description complète du projet
Superviseur du corps professoral :

Eugene Fiume

Étudiant :

Partenaire :

Meta Inc

Discipline :

Computer science

Secteur :

Professional, scientific and technical services

Université :

University of Toronto

Programme :

Accelerate

Privacy Enhanced Decentralized Identity System

The rise in adoption of online services for sensitive tasks such as banking and accessing public services, has led to increased security and data privacy requirements. Many institutions use third-party services for logging in and handling security. So you might enter a single username and password, connecting only once to access a number of different government services. This is convenient for a user, but there are some security risks in the way these third-party services are currently implemented. There’s a single point at which an unauthorised user may be able to break into all the services. This research will look at trying to implement more secure ways of offering a user a single login point for multiple services. When a user tries to log in, the system will do a number of checks across multiple locations to determine if the user information is valid. Much of the research will concentrate on implementing this for mobile devices.

Voir la description complète du projet
Superviseur du corps professoral :

Mariano Consens

Étudiant :

Partenaire :

SecureKey Technologies Inc

Discipline :

Computer science

Secteur :

Information and cultural industries; Professional, scientific and technical services

Université :

University of Toronto

Programme :

Accelerate

Data Driven CRM Optimization for eReading

During the duration of the proposed project, the intern will become a member of the partner organization’s “Big Data” team, participating in all team activities, and completing research-oriented work for the team. The intern will complete research that will explore and improve upon previous methods of intelligently communicating with customers through personalized emails. This may include notifying specific users of new product releases, or of an upcoming sale that may be of interest to them. Using knowledge gained during research, the intern will create a software system for the partner organization that will use customer data to target customers with highly personalized email content.

Voir la description complète du projet
Superviseur du corps professoral :

Eugene Fiume

Étudiant :

Partenaire :

Rakuten Kobo Inc.

Discipline :

Computer science

Secteur :

Information and Communications Technology; Technology

Université :

University of Toronto

Programme :

Accelerate

Facilitating Discovery of Books Through Proactive User Cues

Search and recommendations drive the majority of sales at KOBO. It is therefore critical to continually improve and tune these algorithms. Our project will explore several questions dealing with integrating information provided by users in order to optimize search and recommendation algorithms: how to integrate user-generated tags in order to enhance search (rather than simply depending on product metadata), how to elicit user preferences when they join the service (when we have no existing data to work with), and how to present reasons for recommendations to users, as well as how to integrate user feedback on these recommendations.

Voir la description complète du projet
Superviseur du corps professoral :

Eugene Fiume

Étudiant :

Partenaire :

Rakuten Kobo Inc.

Discipline :

Computer science

Secteur :

Information and Communications Technology; Technology

Université :

University of Toronto

Programme :

Accelerate

Using Text Mining Techniques to Analyze Notes in Financial Statements

Firms meet legally established accounting rules by including notes in financial statements that essentially hide key information in plain sight. That is, they contain information necessary to understand the statements, but due to the volume of notes and arcane language may be uninterpretable by even lawyers. However, these notes may be interpretable by a software application. For example, the notes in the Enron case were found to be decipherable by a human being, but only after substantial effort. Ultimately, we wish to determine where the surface meaning of the financial statements misrepresents the reality of the organization where this can be discovered or at least suggested by the notes. As well, we aim to gather information about what notes are present, consider variations in wording, and support multiple languages. This project will benefit CaseWare by providing the company with new capabilities to analyze notes in financial statements.

Voir la description complète du projet
Superviseur du corps professoral :

Frank Rudzicz

Étudiant :

Partenaire :

CaseWare International

Discipline :

Computer science

Secteur :

Professional, scientific and technical services

Université :

University of Toronto

Programme :

Accelerate

Tangible Characterization Toolkit: High-Level Physical Sketches in Tangible Interaction Design for Creating Rapid and Meaningful Prototype

This project explores how interaction designers can use physical objects to ‘sketch’ out ideas for interactive experiences. Just as a painter might first sketch his or her idea in pencil, interaction designers can use the objects in this toolkit to create 3D sketches of their ideas in the real world. Each of the objects is embedded with a sensor, light, motor, sound, or other ‘behavior’, which, when combined together, create a simplified version of a larger interactive experience. The objects can be combined in different ways to test different ideas, sensors, actions, etc. These ‘sketched experiences’ can be useful both to designers, to see their ideas in action, and to potential clients, in order to help them understand the designers’ vision.

Voir la description complète du projet
Superviseur du corps professoral :

Alissa Antle

Étudiant :

Partenaire :

Tangible Interaction Design Inc

Discipline :

Engineering

Secteur :

Real estate and rental and leasing

Université :

Simon Fraser University

Programme :

Accelerate

Is no news bad news? An investigation of local news poverty in Canada

Upheavals in the news industry have sparked concerns about the availability of local news, particularly in smaller cities, suburban municipalities and rural areas. This project will make it possible to launch/moderate a crowd-sourced national map that tracks local news outlet launches/losses/service cuts over time; analyze data from a survey that asked voters in eight Canadian communities if local media equipped them with sufficient news/information to cast an informed vote for their local MP in the 2015 federal election; and analyze social media/daily coverage in the same eight communities to identify/compare the availability of news/information about the local races for MPs. The results will benefit the project partner by informing the advocacy of Canadian Journalists for Free Expression in support of freedom of expression and access to information. The map will help quantify the extent to which access to local news/information and a range of diverse voices is available and identify the type of media/regions hardest hit by news industry retrenchment. The survey/content analysis results will fill a gap in Canadian research on whether and how the critical information needs of communities are being addressed.

Voir la description complète du projet
Superviseur du corps professoral :

April Lindgren

Étudiant :

Partenaire :

Canadian Journalists for Free Expression

Discipline :

Sociology

Secteur :

Information and cultural industries

Université :

Toronto Metropolitan University

Programme :

Accelerate

Development of a simulation model for prediction of performance of an anesthesia circuit using a novel CO2 separation system

Anesthesia is delivered to patients in vapour form, supplied via Mechanical ventilation in closed loop anesthesia circuit. This necessitates the removal of the carbon dioxide (CO2) produced during respiration. Currently, anesthesia circuits use granulate-based CO2 absorbents that react with CO2 to remove it from the gas stream. However, anesthetic vapours also react with the chemical absorber producing toxic bi-products that have been connected to negative patient outcomes. DMF Medical Inc. has developed an early stage prototype device that provides an alternative method for CO2 removal. To finalize device specifications and produce a market ready system, optimization of device performance and material properties is required. In this project, Dr. Hanafi will create a comprehensive and accurate computer model that enables testing a range of mechanical ventilation conditions on different simulated patient conditions to find the optimal design parameters to minimize concentration of CO2 in the system.

Voir la description complète du projet
Superviseur du corps professoral :

Jan Haelssig

Étudiant :

Partenaire :

DMF Medical Incoporated

Discipline :

Engineering

Secteur :

Manufacturing

Université :

Dalhousie University

Programme :

Accelerate

Environmental diagnosis and monitoring of the Buranhém river estuary and adjacent coastal zone, Porto Seguro, Bahia, Brazil

Porto Seguro, in the Bahia province of Brazil, has a need to understand the behaviour of its river systems so that it may adequately plan to improve sanitation and prevent coastal erosion. The student will work under a team of experts in Brazil and assist with data collection, analysis, and planning in the beginning stages of a project designed to understand the Rio Buranhém system. The project will help the lead researchers to create a numerical model that will enable them to approach governments with recommendations that will improve the quality of life for local residents as well as preserve a thriving tourism industry that relies on the health of its coastline.

Voir la description complète du projet
Superviseur du corps professoral :

Clare Robinson

Étudiant :

Partenaire :

Universidade Federal do Sul da Bahia

Discipline :

Engineering

Secteur :

Université :

Western University

Programme :

Globalink Research Award

LearnCloud: Crowdsourcing Educational Content for Syrian Refugee Children

Over half of the 1.8 billion school-aged children in the world lack access to basic education. The situation becomes worse in war-torn countries as conflicts in the Middle East, and in particular Syria, escalate. It is estimated that over 2.6 million Syrian children have not been in school for over three years. Thus, the proposed research project aims to alleviate this humanitarian crisis by investigating methodologies and best practices for crowdsourcing educational content for children in conflict zones. Through this project, the intern will further her technical skills, as well as obtain a better understanding of innovative educational delivery. The results from this research will provide The Rumie Initiative (partner) a better understanding of Syrian education needs and streamline content creation activities for their digital educational device.

Voir la description complète du projet
Superviseur du corps professoral :

Claus Rinner

Étudiant :

Partenaire :

The Rumie Initiative

Discipline :

Sociology

Secteur :

Education

Université :

Toronto Metropolitan University

Programme :

Accelerate

Effects of feeding a yeast-derived microbial protein source on production, reproduction and behavioural parameters in transition dairy cows

Transition cows (3 wk before calving until 3 wk after calving) often suffer from negative energy and protein balances due to reduced feed intake, but increased nutrient demands for milk production. In Canada, up to 50% of transition cows may be affected by a metabolic (ketosis, hypocalcemia, and milk fever) or infectious (retained placenta, displaced abomasum, and uterine infection) disease. These diseases lead to production losses, infertility, animal welfare problems, and high culling rates of transition cows. The consequences of negative protein balance in transition cows have received little scientific investigations. Therefore, in this study, we propose to evaluate the effects of a yeast-derived microbial protein (YMP) on production (feed intake and milk production), reproduction (ovarian dynamic, gene expressions in ovarian granulosa cells and fertility), nutrient metabolism (energy, nutrients and minerals in plasma and gene expressions in the liver), and behavioural responses in transition cows. We hypothesize that YMP supplementations may alleviate the production, reproduction and welfare problems faced by transition cows. Data generated from this study may enable our industrial partner to market YMP as a new product for transition cows.

Voir la description complète du projet
Superviseur du corps professoral :

Arif Mustafa

Étudiant :

Partenaire :

Bélisle Solution Nutrition Inc

Discipline :

Life Sciences

Secteur :

Agriculture

Université :

McGill University

Programme :

Accelerate

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