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Thursday, December 21, 2017

Small Ontario municipalities least prepared to support aging adults

Small municipalities in Ontario are less likely than larger centres to be able to accommodate the needs of their aging populations, according to a report from the University of Waterloo.

The report, Prepared for the Silver Tsunami: An examination of municipal old-age dependency and age-friendly policy in Ontario, Canada, examined the current and projected demographic profiles of 159 Ontario municipalities with populations over 10,000 people.

Wednesday, December 20, 2017

Lower class wiser about interpersonal conflict than middle class

New research from the University of Waterloo finds that lower class populations are wiser than their middle-class counterparts in their ability to reason about interpersonal matters.

The study measures wisdom as the ability to be open-minded, intellectually humble and integrate different perspectives on the issue people reflect on.  In comparing social classes and their associated wisdom, the study reveals that more affluent regions and individuals, as well as situations reflecting higher social standing are linked with diminished ability to reason wisely.

Tuesday, December 19, 2017

AI insights could help reduce injuries in construction industry

Artificial intelligence (AI) is giving researchers at the University of Waterloo new insights to help reduce wear-and-tear injuries and boost the productivity of skilled construction workers.

Studies using motion sensors and AI software have revealed expert bricklayers use previously unidentified techniques to limit the loads on their joints, knowledge that can now be passed on to apprentices in training programs.

Thursday, December 14, 2017

Expert Advisory: FCC vote on net neutrality

Experts from the University of Waterloo are available to speak to the media about today’s vote on net neutrality by the U.S. Federal Communications Commission.

Martin Karsten — Computer Science

Martin Karsten is an associate professor in Waterloo's Cheriton School of Computer Science. He has conducted research on the technical aspects of net neutrality. His area of expertise includes network protocols, Internet architecture, and computer systems software.

Tuesday, December 12, 2017

Social media trends can predict tipping points in vaccine scares

Analyzing trends on Twitter and Google can help predict vaccine scares that can lead to disease outbreaks, according to a study from the University of Waterloo.

In the study, researchers examined Google searches and geocoded tweets with the help of artificial intelligence and a mathematical model. The resulting data enabled them to analyze public perceptions on the value of getting vaccinated and determine when a population was getting close to a tipping point.

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