The Internet of Things will transform industry, agriculture, and our cities. But we need to consider carefully the risks as well as the rewards.
Differential privacy lets organizations collect people’s data while protecting their privacy, but it’s not foolproof.
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Differential privacy lets people to share data anonymously, but people need to know more about it to make informed decisions.
Computer algorithms can involve complicated math, but the concept of an algorithm is simple.
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A close look at how you decide what clothes to put on in the morning can help you understand how computers work.
Accurate address data is vital for public services, including health monitoring.
Address data are maintained in silos at different government entities. There is limited coordination and adherence to international standards; good practice is lacking around information management.
Have you ever watched something because YouTube recommended it to you? You've probably been influenced by an algorithm. But at the end of the day, underneath all the algorithms are people.
There are any more sophisticated programs available for managing health data. Why did Public Health England use Microsoft Excel?
The coronavirus pandemic has resulted in increased adoption of communication and network technologies.
Internet technologies and the devices that enable information access and transfer are useful in crisis management. Accessing these readily available digital technologies can help community resiliency.
Unemployed airline workers call for an extension of federal benefits.
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Slow, unreliable labor force data have consequences for out-of-work Americans and the economy.
Data on food prices are crucial for political and economic stability but are not easily accessible.
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Poor and inconsistent pricing data makes it hard to assess agricultural markets.
Six hours of streaming video may be the equivalent of burning one litre of petrol.
Health care workers use a nasal swab to test a person for COVID-19 in Pembroke Park, Florida.
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A recent report by the CDC estimated that the true number of COVID-19 cases in the US could be six to 24 times more than the number of confirmed cases. A public health scholar explains the implications.
Public data is vital to the functioning of a democracy.
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A White House decision to take over collection of COVID-19 data from the CDC sparked worries over political interference. A public data expert talks about the importance of transparent public data.
White House Coronavirus Task Force members reference a misleading chart in a press briefing.
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Visualizations can help you understand data better – but they can also confuse or mislead. Here, some tips on what to watch out for.
Florida cities like Miami have resorted to issuing their own protective rules as coronavirus case numbers climb.
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A close look at Florida's economy shows just how vulnerable the state and its population are to a pandemic, and some of the reasons state officials hesitate to take action.
Finding valid health care information on social media is harder than it seems.
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Just because YouTube recommends a video doesn't mean it has medically valid information.
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The prospects of elimination remain elusive but even with the current Victoria outbreak, Australia is maintaining a high number of tests per thousand people.
Contact tracing apps are coming to Canada, but there are privacy concerns.
Police departments have suggested using contact tracing approaches to track protesters, raising concerns about data and privacy.
Artificial systems use reams of data to get a better profiles of individuals.
Artificial intelligence insatiable data needs has encouraged the mass collection of personal data, placing privacy at risk. But AI can help solve the very problem it creates.
Australia is performing better than many other countries with comparable populations and geographies, a new COVID-19 data visualisation reveals.
Nurses and other health care workers in New York mourned colleagues who have died during the outbreak of the novel coronavirus.
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Why one city suffers significantly more deaths than another isn't always obvious. A simple experiment shows how failing to consider certain factors can point policy makers in the wrong direction.