Kathleen McKeown has developed natural language processing techniques that promote social good. She has created methods that summarize and analyze news reports on past disasters to provide updates on current disasters as they unfold. Her work in social media uses data science to understand the personal narratives of those who have experienced a disaster and employs sentiment detection to identify where people are still suffering. Earlier in her career, she developed a system for the personalized search and summarization of medical literature to build a digital library for patient care that presents in lay terms information that is helpful to patients and their families.
McKeown is the Henry and Gertrude Rothschild Professor of Computer Science, Department of Computer Science, Columbia University, New York, New York, USA.