Paige Maas is a Data Scientist on the Core Data Science team at Facebook, where she has worked on understanding user experience and interactions and build tools to make that experience better. She earned her PhD in Biostatistics from Johns Hopkins University and did her dissertation research at the US National Cancer Institute, where she developed methods for synthesizing data sources to build risk prediction models for breast cancer. At Facebook, her current focus is on building data products that can be used by humanitarian organizations in disaster response.
Carter T. Butts is a Professor in the Departments of Sociology, Statistics, and Electrical Engineering and Computer Science at the University of California Irvine, where he directs the Center for Networks and Relational Analysis in the California Institute for Telecommunications and Information Technology.He received his doctoral degree from Carnegie Mellon University; he holds early career awards from the American Sociological Association and the International Network for Social Network Analysis, and is currently chair-elect of the ASA Section on Mathematical Sociology.His research involves the areas of social and biological network analysis, mathematical sociology, quantitative methodology, and human judgment and decision making. He has published extensively on communication in hazard response contexts, including work on emergent coordination in the World Trade Center Disaster, organizational collaboration in the aftermath of Hurricane Katrina, message passing following the Boston Marathon Bombing, and attentional dynamics during wildfires.