Advancing medical interventions through artificial intelligence
When most people think of artificial intelligence (AI) they picture robots from Hollywood blockbusters or science fiction, but in reality, machine learning is already being used for many real-life applications. Parvin Mousavi, a professor in the Queen's School of Computing, is one of the researchers on the forefront of AI developments and is working to advance next generation medical interventions.
Amplifying women’s voices for sustainable conflict prevention and resolution
As a Canada Research Chair, Queen's researcher Stéfanie von Hlatky works to identify ways in which military organizational culture can be made more equitable for marginalized groups.
Mining for data in the City of Kingston
Faculty of Arts and Science researchers Carolyn DeLoyde and Betsy Donald have created a dashboard website that contains a wealth of information about the Kingston community from the perspectives of economic and social change, health, mobility, environment, and other sectors of the community.
Greeting the morning with a song
An innovative music program created in the Faculty of Arts and Science is expanding its reach to support more older adults.
Advancing Canada’s research infrastructure
Research facilities supported by Queen’s University are receiving more than $120 million through the Canada Foundation for Innovation’s (CFI) Major Science Initiatives (MSI) Fund.
FAS students tackle local food security issues
A group of fourth year environmental studies students were challenged by Professor Kristen Lowitt to address food security issues within the local Kingston community as part of the Special Topics in Environmental Science course.
Yes, online learning can teach you to think
The idea that online learning ‘doesn’t teach people to think’, which was suggested by one of our peers recently, is short-sighted and false.
Targeted wastewater surveillance has a history of social and ethical concerns
Wastewater surveillance involves testing sewage to obtain data about a population’s health. While the technique is decades old, it has gained recent international prominence for its ability to predict pandemic surges, detect new SARS-CoV-2 variants and provide useful data when traditional testing methods reach capacity.