New grant with our colleagues at Columbia University Data Science Institute and Wireless and Mobile Networking Lab, and NYU's Center for Advanced Technology in Telecommunications (CATT). We have been awarded an Engineering Research Center planning grant from the National Science Foundation to support our work on the COSMOS platform. COSMOS is part of NSF's Platform for Advanced Wireless Research (PAWR). COSMOS is a New York testbed for next-generation wireless technologies, which we will be using to build research platforms between science, industry, government, and citizen partners for street-scale computing, with a range of applications to advance GIS, next-generation retail, logistics, and smart city services. (September 1, 2018)

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).