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AI adjusts for gaps in citizen science data

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.

Streaming chill vibes? Spotify data says the season is the reason

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.

Margaret Martonosi ’86 visits as A.D. White Professor-at-Large

Computer scientist Margaret Martonosi '86 will interact with students and faculty Jan. 22-26 as an Andrew Dickson White Professor-at-Large.

Predicting future combos, from rap songs to pharmaceuticals

Cornell researchers have developed an algorithm to predict which groups are likely to work together in the future based on their past partnerships.

Is seeing believing? Depends on photo quality, study says

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.

Using vibration to curb digital addiction

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.

Innovative student experience web platform wins tech award

An innovative Cornell platform that connects students with hundreds of opportunities beyond the classroom has won a prestigious tech award.

Celebrating arXiv's growth at the library, future at CIS

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.

NSF awards $2M for researchers on trail of peak productivity

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.