Data

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Cyber and crypto security shield on futuristic screen technology background.

Canada should keep its data out of U.S. hands

In illustration featuring a large eye of computerized surveillance in the form similar to webcam watches a the tiny figure of a worker.

Workplace AI is writing the rules. Workers need to see them

Champagne raises a hand to the robot, which is made of metal but has a human form, while Desmarais looks on.

Canada doesn’t need AI independence. It needs exit plans for critical sectors

An ice-packed inlet with snow-covered mountains in the background.

Northern cable security is becoming a test of Canada’s Arctic readiness

A data centre with rows of servers and floating figures representing digital data streams.

Canada needs to develop its own AI computing power

A dozen medical icons are clustered but don’t connect to each other.

Canada has the tech to connect health records. Why isn’t it being used?

An abstract illustration with drawings evoking thought, networks, sharing, etc.

Innovation sovereignty needs ecosystems, not isolation

A couple of computer screens, a keyboard and a lot of little symbols floating around to depict data.

Canada’s digital sovereignty debate overlooks software risks

Like us, our personal health information is safest at home

Five post-pandemic pivots in Canadian security and intelligence

Créer une banque de données des effectifs en santé

COVID-19 tracking data should be managed the way data trusts are

Why we underestimated COVID-19

Privacy rights should drive our approach to using personal data during pandemic

Beware of COVID-19 projections based on flawed global comparisons

Indigenous DNA database should be managed by its people

Big Brother, Big Data and Statistics Canada

The problem with personalized health information

Precision medicine will lead to precision policy

Canada’s energy data problem

Feds using predictive analytics to craft youth policy

Is Canada ready to turn and face the strange future?

L’hébergement des données publiques par le privé ?

Exploiter le potentiel des données massives en santé

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