{"id":1342,"date":"2014-10-14T09:47:41","date_gmt":"2014-10-14T09:47:41","guid":{"rendered":"http:\/\/www.doc.gold.ac.uk\/blog\/?p=1342"},"modified":"2014-10-14T09:49:23","modified_gmt":"2014-10-14T09:49:23","slug":"modelling-a-communitys-health-and-mobility-patterns-with-mobile-phone-data","status":"publish","type":"post","link":"http:\/\/www.doc.gold.ac.uk\/blog\/?p=1342","title":{"rendered":"Modelling a Community’s Health and Mobility Patterns with Mobile Phone Data"},"content":{"rendered":"

\"Figure3\"<\/a><\/p>\n

This Thursday at 3pm (16th October 2014),\u00a0Kate Farrahi, Lecturer in Computing at Goldsmiths University will be giving a talk on ‘mobility patterns and interactions sensed by mobile phones’ at Cambridge University.<\/strong><\/p>\n

This data provides a new source for many applications both in research and industry. In this talk, she will discuss two mobile sensed data-driven applications, one based on mobility patterns and the other based on interaction patterns.<\/p>\n

Human interactions sensed ubiquitously by cellphones can benefit many domains, particularly for monitoring the spread of disease. A community of 72\u2019s flu patterns have been collected simultaneous to their interactions sensed by mobile phone Bluetooth logs. The focus of this work is to determine the accuracy of incorporating interaction data into dynamic epidemiology models for infection prediction.<\/p>\n

Kate (Katayoun) Farrahi is a lecturer at the University of London, Goldsmiths. Her research focuses on large-scale human behaviour modelling and mining, with special interest in data science, computational social sciences, mobile phone sensor data, and machine learning. Farrahi received her Ph.D. in Computer Science from the Swiss Federal Institute of Technology (EPFL) Lausanne, and the Idiap Research Institute, Switzerland. She has spent time as an intern at MIT and is a recipient of the Google Anita Borg scholarship, and the Idiap research award.<\/em><\/p>\n

This talk is part of the\u00a0Computer Laboratory Systems Research Group Seminar<\/a>\u00a0series.<\/p>\n