Public health numbers are shown on a screen as Deputy Chief Public Health Officer Howard Njoo listens to Chief Public Health Officer Theresa Tam speak during a news conference in Ottawa.
THE CANADIAN PRESS/Adrian Wyld
As Canadians yearn for a return to normal life, experts will rely on the latest data to determine the safest ways to come out of the coronavirus pandemic. Making that data transparent is essential.
Connecting the dots.
Machine learning technology was first to sound the alarm about the new coronavirus. Its success illustrates how AI is boosting epidemiology.
That future is one of ever-changing data, analytics and computer infrastructure.
A firefighter walks along a containment line while battling a 2018 wildfire in Redding, California.
AP Photo/Marcio Jose Sanchez
Researchers like myself are finding transformative new ways to help planners, leaders and first responders tackle disasters from afar.
Bias in, bias out: many algorithms have inherent design problems.
Mathematician Hannah Fry has called for tech and data scientists to make an ethical pledge, as medical doctors do. But the same result might be delivered by simply asking people to mind their bias.
Africa is data-rich and well connected. Therein lies the solution to many of its challenges.
Data science, led by Africa-based scientists, could play a key role in addressing all of the continent's crucial needs.
The ethics of research trials for young people with gender dysphoria are complicated.
Young people with gender dysphoria have high rates of mental health issues which makes conducting ethical research trials complex.
A concentration camp in Poland.
Even though the Holocaust is one of the best documented genocides in history, there's limited quantitative data available. A new study investigates the number of deaths per day.
Often the value of data science lies in the work of joining the dots.
Data science can map where street harassment is most prevalent, ensure public bins don't overflow and identify neighbourhoods with poor fire safety standards in the home.
According to Seth Stephens-Davidowitz, everybody lies to preserve social relations.
‘Everybody Lies’ author Seth Stephens-Davidowitz on why we tell the (sometimes disturbing) truth online.
The Conversation 21.1 MB (download)
In this episode of Speaking with, author Seth Stephens-Davidowitz explains why humans lie to each other, but often tell the internet the truth.
Satellite data includes digital imagery of factors that affect farming.
Big data can be used to properly advise smallholder farmers in Africa and help guide pest monitoring efforts.
Of all the valid votes in the same-sex marriage survey, 61.1% said ‘yes’.
The same-sex marriage postal survey gave Australians a chance to create data for social change. And that's rare.
New research claims to have found a link between types of chords and the lyrics they are typically paired with.
Perhaps your career path is paved with big data.
Most industries tap into big data these days – meaning more and more jobs are opening up in this field. Here's some background on the skills and qualities you'd use as a modern big data professional.
Big data, what can it do for us - and when?
We need the skills to put big data to use before others leave us behind.
It’s a lot for a person to puzzle out… call in the computers!
Modern biological research relies on big data analytics. Vast reservoirs of memory and powerful computing ability mean machines find patterns and make meta-analyses and even predictions for scientists.
The rapid rise of connectivity is transforming the interactions between people and all the elements that make up a city.
City dwellers have better access to more information about the people and places around them than ever before, but it has never been more difficult to preserve privacy as a result.
Off to nab a would-be criminal?
Preventing crime before it happens, while saving resources, sounds like a great use of big data. But these calculated probabilities raise big questions about civil liberties.
What you get out is what you put in.
Keys image via www.shutterstock.com
Analyzing big data sets holds the promise of big insights. But the axiom "garbage in, garbage out" is particularly apt, since conclusions can be only as good as the raw data itself.
The author (right) and Toby Grime, Artistic Director Animal Logic (left), inside UTS’s new Data Arena.
Today's world is drenched in data, and we need the best tools to help us understand and use it.