Data science aims to find next El Niño

The new TRIPODS+Climate project, a collaboration that includes UChicago, will develop novel data science tools to improve our understanding of long-distance weather patterns and global climate. Researchers will apply data science methods such as machine learning, network analysis and predictive modeling to the growing flood of climate data. Read more about the research by co-investigator Rebecca Willett, professor of computer science and statistics at UChicagoRead more about the NSF's TRIPODS+X awards.