Featured Research | Data Science Lab

			
Sensing global tourism numbers with millions of publicly shared online photographsby Tobias Preis, Federico Botta, Helen Susannah Moat

Using aircraft location data to estimate current economic activityby Sam Miller, Helen Susannah Moat, Tobias Preis 

Using deep learning to quantify the beauty of outdoor placesby Chanuki Seresinhe, Tobias Preis, Helen Susannah Moat

Quantifying the Impact of Scenic Environments on Healthby Chanuki Seresinhe, Tobias Preis, Helen Susannah Moat

			
Quantifying the Relationship Between Financial News and the Stock Marketby Merve Alanyali, Helen Susannah Moat, Tobias Preis

Quantifying Wikipedia Usage Patterns Before Stock Market Movesby Helen Susannah Moat, Chester Curme, Adam Avakian, Dror Y. Kenett, H. Eugene Stanley, Tobias Preis

Quantifying the Digital Traces of Hurricane Sandy on Flickrby Tobias Preis,	Helen Susannah Moat, Steven R. Bishop, Philip Treleaven, H. Eugene Stanley

Quantifying crowd size with mobile phone and Twitter databy Federico Botta, Helen Susannah Moat, Tobias Preis

			
Adaptive nowcasting of influenza outbreaks using Google searchesby Tobias Preis, Helen Susannah Moat

Quantifying the Advantage of Looking Forwardby Tobias Preis,	Helen Susannah Moat, H. Eugene Stanley, & Steven R. Bishop

Quantifying the semantics of search behavior before stock market movesby Chester Curme, Tobias Preis, H. Eugene Stanley, and Helen Susannah Moat

Quantifying Trading Behavior in Financial Markets Using Google Trendsby Tobias Preis,	Helen Susannah Moat	& H. Eugene Stanley