Aspen Policy Academy

The CrowdMeter Project

During a viral outbreak, it may be possible to substantially reduce transmission with minimal societal disruption by giving individuals behavioral alternatives with less associated risk. For example, if a person intends to shop for groceries, they might be motivated to drive the extra mile to a location with a lower likelihood of exposure. CrowdMeter is a navigation app that displays sets of similar destinations and the estimated transmission risk associated with each option. The team conducted epidemiological and behavioral simulations to inform the algorithms that power CrowdMeter’s deployment for the current COVID-19 outbreak.

Browse Related Projects

Tech

AI Powered Dynamic Pricing Pilot for Public Transit to Reduce Traffic Congestion

By Nishchal Chaudhary, Desiree Junfijiah, Sarayu Madhiyazhagan, Sanur Sharma, Iris Vold

Tech

Centralizing Utah’s Traffic Data for AI Driven Traffic Management

By Janice Mak, Paola Moreno-Roman, Yakaira Núñez, Carolina Ramôa, Susanne Tedrick

Tech

Smart Commutes, Smarter Cities: A Government and Business Partnership

By Bailey Johnson, Julia Niederman, Abigail Oyekola, Çiğdem Patlak