Welcome to the Urban Computing Lab at the University of Maryland!

We focus on modeling our cities through digital footprints of human activity. Our objective is to understand human behavior in urban environments using crowdsourced mobile and ubiquitous data; and to provide tools and insights that enhance decision making.  We develop data-driven methods that combine data mining and machine learning techniques to tackle urgent urban challenges in areas such as disaster management or transportation alternatives. 

Check the video summary of our work on data-driven disaster analytics at CCC (Computing Community Consortium) 
 (This was recorded at the Computing Community Consortium (CCC) Symposium on Computing Research in October 2017, which was supported by NSF grant 1136996. Any opinions, findings, and conclusions or recommendations expressed in this video are those of the authors and do not necessarily reflect the views of the National Science Foundation)
- We presented a long paper at WebSci, congrats Lingzi!
- We are presenting two papers at NetMob
- Lingzi has accepted the Data Science for Social Good Fellowship in Atlanta!
- Paper accepted at MDM, Congrats Jay!
- Paper accepted at AAAI, Congrats Lingzi!
- Paper accepted at ICWSM, Congrats Gaurav!
- Our work on Twitter and urban planning in Phys.org
- Our H1N1 work and its potential impact on Ebola in The Economist