University of Waterloo News
Director, Media Relations
Media Relations Manager
519-888-4567 ext. 30031
Find an expert
Are you a member of the media looking for an expert to interview? Search our experts database for faculty and staff members who are willing to provide information, analysis, or a considered opinion on a wide range of topics.
Sign up to receive press releases
Interested in receiving press releases? Contact Matthew Grant at email@example.com.
You can choose to receive news from the University of Waterloo in the following categories:
- All news releases and advisories
- Major announcements
- Business and Finance
Waterloo has facilities to provide broadcast-quality audio and video feeds with a double-ender studio. Please contact us for details on how to book.
Parking (for media)
Parking passes are available for members of the media who come to the Waterloo campus for events or to interview faculty or staff. While we cannot reserve spaces, the passes allow members of the media to park a vehicle for free in several designated spots across campus.
- Jan. 21, 2019
Enlisting the help of pharmacists could help in the quest to get people to quit smoking, according a white paper released by the University of Waterloo.
The paper details ways in which an increased role for pharmacists in the public health effort could help curb smoking rates and aim to reduce the estimated 45,000 annual deaths that occur in Canada from tobacco use.
The week of January 21 to 27 is National Non-Smoking Week in Canada.
- Jan. 18, 2019
Flooding within urban centres is Canada’s costliest and fastest growing extreme weather challenge. Insurable claims in Canada have risen from an average of $405 million per year between 1983 and 2008 to an average of $1.8 billion per year between 2009 and 2017 (in $2017), with flooding contributing the greatest proportion of this increase.
- Jan. 17, 2019
Organizations looking to benefit from the artificial intelligence (AI) revolution should be cautious about putting all their eggs in one basket, a study from the University of Waterloo has found.
In a study published in Nature Machine Intelligence, Waterloo researchers found that contrary to conventional wisdom, there can be no exact method for deciding whether a given problem may be successfully solved by machine learning tools.