Topic: Technology
Like Checking the Weather: Air-Quality App Charts Local Pollution
Information helps users decide when, and whether, to venture outside or exercise
It’s a Startup — and Almost Certainly a Future Acquisition by a Tech Giant
Patent histories show entrepreneurs focused on exit strategy
In COVID-19, Should the Logistics Tail Have Wagged the Vaccine Dog?
Balancing vaccine efficacy against need to quickly inoculate more people
Improving Airlift Schedules with Algorithms
Splitting complex problems into parts simplifies and greatly speeds the task
Huge Spending — But Little Sharing of Research Results — on Cancer Drugs
U.S. efforts to encourage transparency widely ignored by companies
How to Speed Progress on U.N. Sustainable Development Goals
Operations management research identifies synergies for more efficient action
How Tech’s Disruption Alters Investors’ Appetite for Risk
New technology’s upending of the old creates demand for alternative assets to offset risk
How Nonprofits Can Better Engage Volunteers
When to allow unpaid workers to call dibs on recurring tasks — and when not to
How Medical Device Makers Reacted to Publication of a Once-Secret Database of Millions of Adverse Events
New product filings to FDA included stronger safety features and larger technological advances
How Many Pairs of Sandals Would You Look at Online?
On your phone, about 20. How retailers can best harvest sales from those glances
How Far Would You Go for an Ivy League Kid?
Study finds interest in screening embryos for education propensity, especially if everyone else is doing it
How Fake Customer Reviews on Amazon Distort Markets
Shoppers’ highly imperfect understanding of the problem leads to poor buying decisions
How Established Firms Get Disrupted by Allies
Suppliers, distributers, product extenders go from helper to competitor
How Clinton and Trump Voters Behave in — and Spread — a Pandemic
Estimates are based on smartphone data and precinct-level 2016 vote results
How Brands Can Anticipate Unauthorized Subcontracting of Apparel Manufacturing
A model predicts with 80% accuracy which orders get handed off