A startup founded on machine learning technology developed at Columbia rolls out new software this month that automates the review of real estate leases. eBrevia, based in New York City and Stamford, Conn., has previously applied the technology to employment contracts and other legal agreements. "Lawyers have to wade through massive amounts of text,” said Data Science Institute director Kathleen McKeown, who helped develop the software. “The algorithm we developed can save them time by quickly targeting and summarizing key information. It’s a good example of innovation made possible by applying data science to the law."
Big disasters make for big news. But sorting through what's timely, relevant and worth saving for the record is no easy task. Kathleen McKeown at the Data Science Institute is at work figuring this out. Using Hurricane Sandy as a template, she is building a system that can automate the process of synthesizing vital information during a disaster. She spoke about highlights of her work on Jan. 29.
The National Science Foundation (NSF) has honored Columbia University professor Ponisseril Somasundaran, Director of Center for Particulate and Surfactant Systems (CPaSS) at Columbia University, with the 2015 Alexander Schwarzkopf Prize for Technological Innovation.