Most master’s students a year into their graduate program are hopeful their research will contribute to their discipline, but few will crack a long-standing problem and in so doing develop a solution that’s a major advance in the field.
Researchers have found that people sometimes tend to rely on easily manipulated factors when evaluating whether to trust a social media account named after a crisis event.
A new study, led by University of Waterloo researcher Apoorva Chauhan, found that in evaluating the trustworthiness of social media accounts named after crisis events, people sometimes pay attention to the page’s profile picture, name, the number of followers it has, and spelling and grammatical errors.
Lily Wang always wanted to be an academic. When she was younger, she was involved in several math outreach events. This involvement introduced Lily to the University of Waterloo through the contests offered by the Centre for Education in Mathematics and Computer Science (CEMC).
A new method to analyze social media data could help predict future outbreaks of diseases and viruses like COVID-19 and the measles.
In a new study, researchers from the University of Waterloo examined computer simulations to develop a new method of analyzing interactions on social media that can predict when a disease outbreak is likely.
A new study has found that allowing cities and counties to open and close independently based on standardized guidelines is the quickest and safest way of restoring the Canadian economy.
The study found that opening workplaces and schools on a county-by-county basis when the county falls below 4.5 active COVID-19 cases per 100,000 would result in 38 per cent fewer person-days of closure.
Shixiao Zhang is this year’s winner of the Pierre Robillard Award of the Statistical Society of Canada (SSC) which recognizes the best PhD thesis in probability or statistics defended at a Canadian university in a given year. His thesis, entitled “Multiply Robust Empirical Likelihood Inference for Missing Data and Causal Inference Problems," was written while Shixiao was a doctoral student in the Department of Statistics and Actuarial Science at University of Waterloo under the supervision of Dr.
Researchers have created a new a new system that helps Internet users ensure their online data is secure.
The software-based system, called Mitigator, includes a plugin users can install in their browser that will give them a secure signal when they visit a website verified to process its data in compliance with the site’s privacy policy.
Canadian provinces such as Ontario and Quebec should wait several more months before lifting social distancing restrictions, according to the findings of a new mathematical model developed by University of Waterloo researchers.
The new model, called Distancing-SEIRD, indicates that continuing social distancing at the current levels in Ontario and Quebec for six months (until mid-September), could save close to 100,000 lives.
The machine learning-enabled model was recently the subject of a study that is pending peer review.
In open source software repositories such as GitHub — an online platform for software development where developers store their projects and collaborate with other developers — the quality of a coder’s technical contributions is undoubtedly important. Such communities have long seen themselves as meritocracies where code is king and decisions are based solely on technical excellence.
Researchers have developed a method that can identify future COVID-19-like viruses within minutes, which could allow for quicker development and deployment of vaccines and treatments.
In a new study, researchers at the University of Waterloo used a machine learning-based alignment-free approach to accurately and rapidly identify and classify COVID-19 virus genome’s relationship with other viruses.