Citizen science databases can be inconsistent, but Cornell researchers have developed a deep learning model that effectively corrects for location biases, leading to more reliable predictions.
A study of 765 million downloads from streaming service Spotify reveals clear patterns in musical preferences based on geography, gender, time of day and other considerations.
On secondhand marketplaces like eBay, people trust online sellers who post their own high-quality photos of items for sale more than they trust those who use stock images or poor-quality photos, a Cornell Tech study has found.
Cornell Tech researchers developed a tool that causes smartphones to vibrate when users exceed time limits on certain apps, reducing usage of the apps by 20 percent and helping people tackle digital addiction.
On the cusp of arXiv’s move to Computing and Information Science in January, members of Cornell University Library and CIS celebrated 17 years of the scientific research repository’s growth under library stewardship.
Tanzeem Choudhury, associate professor of information science, is part of a group that was recently awarded a National Science Foundation grant to explore how measuring people’s biological clocks can help improve their performance or lower their stress.
