Brown Bag Series: Making sense of human behavior in the real world with large-scale, geolocated data

 Brown Bag Series: Making sense of human behavior in the real world with large-scale, geolocated data 


Presentation by: Vanessa Frais-Martinez, University of Maryland

Monday, May 9, 2017

12:00 PM to 1:00 PM


Preinkert Field House - Conference Room 1112V 

University of Maryland College Park 

The pervasiveness of cell phones and social media is generating vast amounts of information that can help us reveal a wide range of human behavior. From mobility patterns to social connections, these signals expose insights about how humans behave and interact with their environment. In this talk, I will present several projects that focus on the design of algorithms and methods to model how humans interact with, react to, communicate about and sense their environment. Finally, I will also discuss possible uses of our findings in areas such as urban planning, disaster management, epidemiology or poverty studies. 

Vanessa Frias-Martinez is an assistant professor in the iSchool and an affiliate assistant professor in the Computer Science Department at the University of Maryland, College Park. She is the director of the Urban Computing Lab and a member of the CLIP Lab, the Center for Geospatial Information Science and the Maryland Population Research Center. Vanessa’s research focus is in applying data mining, machine learning and natural language processing techniques to analyze human behavior in the physical world. She received her M.Sc. and Ph.D. degrees in Computer Science from Columbia University. From 2009 to 2013, she was a researcher in the Data Mining and User Modeling Group at Telefonica Research in Madrid, Spain. Her research is funded by the National Science Foundation and the World Bank.