MobiAmbulance
Location and Disaster Response
Professor Natasha Zhang Foutz at the University of Virginia, along with colleagues at UVA, Old Dominion University, and the College of William & Mary, teamed up with X-Mode and the city of Charlotte, North Carolina, to develop a smarter, more efficient way to dispatch ambulances during and after a disaster. The study by Professor Foutz et. al. is, to their knowledge, “the first work for ambulance dispatching under dynamic catastrophic conditions.” Read more about how premium location data can make cities safer on our blog!
Sickweather
Building a Forecast for Illness
The team at Sickweather were looking to solve a problem: how do you determine the risk of disease exposure when you leave your house? Using proprietary algorithms based on social media data, and augmented by X-Mode’s location panel, Sickweather now tracks 28 different diseases and vectors. Learn more about Sickweather, and the ways that X-Mode empowers partners with location data, on our blog!
Covid Alliance
Real time Policy Response, powered by Location
The Covid Alliance is a volunteer-powered nonprofit coalition bringing together best-in-class expertise across science, technology, and policy in a coordinated response to COVID-19. Using X-Mode’s location data — among other resources — the Alliance has built tools to aid policy makers and local governments in their pandemic response. Taking a privacy-centered, socially conscious approach, the Covid Alliance demonstrates the capability of location data to empower a variety of solutions during times of crisis. (Read about the Covid Alliance and X-Mode on our blog and in the Wall Street Journal!)
“As we respond to the COVID-19 pandemic, it’s been of the utmost importance for us to be able to trust the quality of our geolocation data. X-Mode has clearly demonstrated that they hold themselves to the highest possible bar on their privacy-preserving policies, and their data panel has enabled previously unthinkable research to be undertaken across the country.”