In recent years, with the emergence of online social networks and the growing interest in genetics and biological networks, the research community has been tasked with analyzing knowledge extracted from multi-relational datasets. Such analysis, generally known as Knowledge Discovery in Databases (KDD), is concerned with the computer aided discovery of useful knowledge in databases. An […]

This research project proposes to identify and develop successful ways of engaging Arctic voices and community with the Arctic Research Foundation’s (ARF) digital communications platforms. The platforms will promote community understanding of ARF’s mission and may inform the Foundation of potential sites of intervention and innovation. The intern will cultivate community relations while seeking new […]

L’Île d’Orléans a une industrie agroalimentaire et agrotouristique très forte. Plusieurs produits locaux sont valorisés et transformés sur place créant un potentiel économique encore plus grand. L’engouement envers l’achat local et la souveraineté alimentaire lié à la pandémie de la COVID a d’ailleurs augmenté l’attrait de l’industrie agroalimentaire de l’Île. La MRC a identifié le […]

Ce projet vise à évaluer la présence des potagers dans une ville en région nordique et dans un contexte minier. L’objectif est de déterminer, en collaboration avec des citoyens et citoyennes la productivité de leur potager, les niveaux de contamination dans les sols et dans les légumes, afin d’évaluer le niveau du risque sanitaire à […]

Reliability analysis of structures is crucial to ensure efficient operations in industrial assets. Nowadays, industries benefit from condition monitoring (CM) equipment to evaluate their products’ health. Current commercial reliability software can not accurately analyze the reliability of structures under time-varying conditions. The intern has previously developed an algorithm for accurate reliability analysis of different structures. […]

The airspace will rapidly change in the next 15 years with increased automation of air traffic control, flight path tracking with strong time constraints and big data exchange between the aircraft and ground control for communication. However, little information is available to understand the impact of this transformation on the pilot’s tasks and how to […]

Le projet vise a ameliorer la gestion actuelle du transport de messagerie-colis au CHUM. Actuellement, il y a une gestion decentralisee de la gestion de messagerie-colis et chaque departement et centre de recherche utilise un transporteur selon ses criteres. Cela s’avere tres couteux pour l’institution hospitaliere parce qu’en plus de ne pas profiter des economies […]

Some may think that it is only members of underrepresented and marginalized groups who experience identity threat in an organization. However, members of traditionally well-represented groups can feel threatened by diversity, equity, and justice (DEI) initiatives, and this can result to backlash which could derail those efforts. Through a collaboration with Feminuity, a consulting firm […]

The intern is undertaking a research project on sustainability in the textile industry, and how to make the process not linear, but rather circular, so we can consider what happens to clothing at the end of its life. This research will be useful and beneficial for the partner organization, as the organization has a social […]

Modelis is a drug discovery platform company focused solely on rare, genetic diseases. Our unique approach combines genetically-engineered worms which are ‘avatars’ of human patients, with high-throughput drug screening. This results in a dramatically accelerated drug discovery process. Our platform is perfectly suited for genes that are evolutionarily and functionally conserved such as FIG4, and […]

What does Kmb look like in the social sciences and humanities? Processes that lead to impact start with the creation of new knowledge (output) meant to transform approaches and attitudes, build competency and/or new types of relationships (outcomes). (See e.g., Bailey & Phipps 2019 and Phipps et al. 2016). These changes, in turn, may lead […]

Prediction of financial markets time series market direction is a challenging task mainly due to the unprecedented changes in economic trends and conditions in one hand and incomplete information on the other hand. Therefore, developing different forecasting, like LSTMs, have been employed by quantitative traders recently. Long Short Term Memory networks (LSTMs”) – are a […]