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Dr. Paul M. Torrens, Computer Science and Engineering, Tandon School & Center for Urban Science + Progress, New York University

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New journal article: the first write-up of our new cloud computing framework that we have been developing to handle big data, big models, and the networking required to stitch them together. Lan, H., Torrens, P.M., Zheng, X. (2018). "Spark-sensing: a cloud computing framework to unfold processing efficiencies for large and multi-scale remote sensing data, with examples of Landsat 8 and MODIS data". Journal of Sensors (forthcoming). (August 1, 2018)

New book chapter in Dan Montello's Handbook of Behavioral and Cognitive Geography. Torrens, P. M. (2018). "Artificial intelligence and behavioral geography". In Handbook of Behavioral and Cognitive Geography, ed. D. R. Montello, 357-372. Cheltnam: Edward Elgar Publishing. (February 1, 2018)

New funding for our motion capture facility, from the National Science Foundation. Our project, "Fleeting decisions and risks in pedestrian road-crossing behavior: building insight with next-generation data, models, and platforms" was supported by three NSF agencies (the Division of Social and Economic Sciences, the Division of Behavioral and Cognitive Sciences, and the Division of Computer and Network Systems), via their programs in (1) Decision, Risk, and Management Sciences, (2) Geography and Spatial Sciences, and (3) Smart and Connected Communities (July 24, 2017).

New paper: Hong, L.; Fu, C.; Torrens, P.M.; Frias-Martinez, V. (2017) "Understanding citizen's and local governments' digital communications during natural disasters: the case of snowstorms". In: Fox, P.; McGuinness, D.; Poirier, L. (Eds.) Proceedings of ACM Web Science 2017, Troy, NY, June 25-28, 2017, pp. 141-150. (June 28, 2017).

Our work on analyzing interdependent systems was covered by The Atlantic's CityLab: "To fight snow storms, bring out the big data" (June 28, 2017).

New paper accepted in The International Journal of Digital Earth, Torrens, Paul M. (2017) "A computational sandbox with human automata for exploring perceived egress safety in urban damage scenarios". International Journal of Digital Earth (forthcoming). (April 14, 2017).

Contact details >>

Center for Urban Science + Progress

+1 (646) 997-0500 [main office]

New York University

370 Jay St., 12th Floor

Brooklyn, NY 11201, USA




GIS movement tracks

Capturing body language

GIS movement tracks

Massive ice CA

GIS movement tracks

Spatiotemporal GIS

GIS movement tracks

Urban simulation in GIS

GIS movement tracks

Big data movement analytics


climate indicators spatial analysis

Land indicators of climate

geosimulation high performance computing

High-performance computing and networking for geosimulation

earthquake model agent based GIS

Earthquake models

CA ice sheet model

Ice-sheet modeling

kinect control of GIS and robots
Robot motion control

simulating disasters ABM GIS
Human behavior in critical scenarios

crowd model riot model simulation wired

Modeling riots

physics engine GIS

Dynamic physics for built infrastructure

moving agents through space and time

Moving agents through space and time

validating agent based models

Validating agent-based models

machine learning GIS

Machine-learning behavioral geography

high performance computing urban simulation emergence

Accelerating agent-based models

megacity models

Megacity futures

immersive modeling

Immersive modeling

space-time GIS

Space-time GIS and analysis

measuring sprawl

A toolkit for measuring sprawl

space-time GIS

Modeling time, space, and behavior

simulating crowd behavior

Simulating crowd behavior

wi-fi geography

Wi-Fi geography

Simulating sprawl

Simulating sprawl