A Matching Mechanism to Reduce Uber/Lyft Customer Wait, Improve Revenue
Queuing models aren’t simple but offer big potential service improvements
Banks Transmit Financial Shocks, Including from Natural Disasters
How a localized flood may result in fewer loans to a far-off community
In a Crisis, Solvent Borrowers are Overcharged, Subsidizing Troubled Bank Clients
An unusual data trove from Greece’s economic collapse reveals the practice
Sorting Out Conflicts of Interest in Commercial Loan Syndicates
Syndicate voting rules reflect varying levels of trust and familiarity
Deciding When to Decide Can Lead to Better Outcomes
An interpretable model versus black-box algorithms for complex decision making
Improving Airlift Schedules with Algorithms
Splitting complex problems into parts simplifies and greatly speeds the task
A Solution to the Debate over Momentum’s Cause?
Investors may underreact when information arrives in small, continuous bits
A Data-Driven Approach to Optimizing Bike Paths
A model for cities to boost ridership, without snarling car traffic
Mass Customization Makes Forecasting Parts Purchases a Manufacturer’s Nightmare
A method that establishes a range of needs — and then tightens the range — works better