We're in the Calm before a New Storm of COVID-19 Infections and Deaths
They’ve slowed for now, but as we begin to emerge from our homes, we need to brace for a resurgence.
The finalists for the 2026 Franz Edelman Award innovate in supply-chain replenishment, food distribution, cloud fulfillment and carbon-aware high-performance computing.
Spending lots of scrolling through social media videos is a habit that many people often fall into. While it can be entertaining, mental health experts say it also can be harmful.
In journal Information System Research, researchers posted a model they created that uses AI to detect which videos can affect mental health, or even spark suicidal thoughts.
In a new study, advanced analytics demonstrates that healthier school schedules are not only achievable but can also improve district operations and reduce costs.
An audio journey of how data and analytics save lives, save money and solve problems.

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They’ve slowed for now, but as we begin to emerge from our homes, we need to brace for a resurgence.
A new COVID-19 model from Georgia Tech projects increases of thousands of cases and deaths in the state by mid-August. The university’s Center for Health and Humanitarian Systems and Health Analytics Group say that depending on how much the public follows physical distancing measures in the coming weeks, Georgia’s total number of COVID-19 deaths could range from 6,100 to 17,900 by that August time frame.
Each day behind closed doors in a handful of Wichita offices, they pick up the phone and start dialing. On the other end of the line are the latest people to test positive for the coronavirus in Sedgwick County and those who came close to them in the days before their symptoms began.
University of Toronto researchers in the Faculty of Applied Science & Engineering have designed a tool to help hospitals make the most of their resources during the COVID-19 pandemic by more efficiently matching staff to open jobs.
A study has found that popular rideshare platforms present racial and other biases that penalise under-represented minorities and others seeking to use their services.

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