On COVID-19’s impacts, social scientists’ predictions weren’t much better than those of laypeople
On your phone, about 20. How retailers can best harvest sales from those glances
Large-scale data project produces stark conclusion: military technology + agricultural productivity caused the takeoff
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