Big Data for Good: Eye in the sky

In  a new  Big Data for Good feature, TDA affiliate Rongjun Qin, professor of computer science and geodetic engineering, discusses his work developing algorithms that interpret data from satellites, drones, and other aircraft. The results can be used for faster recovery from natural disasters by providing a before-and-after assessment that gives first responders actionable information.

“Satellites can capture six terabytes of data every day,” Qin says. “We are focused on taking that data and then figuring out how to process it into something useful.”

Share this page
Suggested Articles
ASA DataFest teams tackle Ticketmaster data

Diverse academic backgrounds made for interesting insights from the winning teams at Ohio State’s first-ever ASA DataFest, where participants spent nearly 24 hours extracting insights from 3GB of data from Ticketmaster. The event,...

New data analytics model predicts international conflict

TDA affiliate Skyler Cranmer is lead author of a new study that develops a new way to predict levels of international conflict that is more accurate than any previous model. More

Undergrads and businesses meet in business analytics program

Fisher College of Business is home to a business analytics cluster that’s a hit both with students and with companies who sponsor the program. Students get hands-on experience creating real-world...

Small study finds autism symptoms improve after fecal transplants

Matthew Sullivan TDA affiliate Matthew Sullivan, associate professor of microbiology and civil, environmental, and geodetic engineering, has co-authored a study that suggests fecal transplants have positive effects on behavioral symptoms...

Key accomplishments: TDA's 2016 Status Report

Assembling a dynamic community of faculty affiliates is one of Translational Data Analytics’ greatest achievements since its launch in 2014. TDA’s 2016 Status Report illustrates other notable progress toward convening...