How to rebalance supply and demand amid today’s chaotic internet traffic
Queuing models aren’t simple but offer big potential service improvements
An interpretable model versus black-box algorithms for complex decision making
A model for cities to boost ridership, without snarling car traffic
Measuring the utility of increased care and testing, inputs that aren’t always immediately available
Highlighting the right data and making it relevant can help overcome resistance
A model for staffing O.R.s incorporates the costs of worker dissatisfaction and idle time
Showing cumulative cases — not day-to-day trends — could nudge people to avoid reckless behavior
Complexity and a failure to boost platform revenue were culprits
Fresh-start dates can serve as either — it’s a two-way nudge
A model outperformed simpler statistical approaches in predicting which patients would encounter trouble
How we interpret time-series data is dependent on the designer’s chosen format
Researchers offer a model for more effectively targeting wrongdoers
Websites peddle unnamed hotels and even cities; would you pay to omit one from the list?
Just putting one where the last cardiac arrest occurred isn’t optimal — more calculations to get to fewer steps
Researchers struggle with faulty study designs, flyspecking each other’s work, re-arguing decades of debate about jobs and income