UPDATE:

You can read the press release announcing the collaboration between Earth Networks and WCAI here. 


The Wharton Customer Analytics Initiative is excited to announce a new partnership with Earth Networks, owners of the world’s largest hyperlocal weather networks, to provide access to highly advanced weather intelligence and lightning data.

View Application & Data Summary

Earth Networks provides companies with weather intelligence data to help automate decision-making and mitigate operational, financial and human risk across the globe. They are best known as the original creators of the popular WeatherBug mobile app used by millions of consumers to track severe weather and lightning activity.

WCAI is offering access to Earth Networks data exclusively to the Penn community to expand the impact of these rich data assets for a variety of uses, including, but not restricted to:

  • Integration into formal course curricula, lesson plans, or assignments by faculty
  • Faculty-advised individual or group projects for undergraduate and graduate students
  • Data analysis conducted by PhD candidates and other Penn-affiliated researchers
  • Appending weather data to other datasets, to use for any of the above
  • Other applications across different industries, including insurance, retail, telematics, airline, and drone
  • Development of innovative hardware/software solutions or forecasting tools, including elements of web/mobile development

In addition to data access, successful applicants will receive support and feedback from Earth Networks’ staff scientists, and will submit evidence of proposed project outcomes to WCAI and Earth Networks at the end of the semester.

Earth Networks is also offering up to 3 travel stipends for students (up to $1,500 each) to attend and present their research at an industry event. 

Interested faculty and students should apply online to receive access to the data. To learn more about Earth Networks and their data, please e-mail wcai-research@wharton.upenn.edu.

View Application & Data Summary