Paper details
| Paper authors | Madeeha Merchant |
| In panel on | Eye in the Sky: Drones and Other Remote Sensing Technologies in Humanitarian Aid |
| Paper presenter(s) will be presenting |
In-Person / |
Abstract
Crisis infrastructure is built upon an interdisciplinary dialogue that requires multidimensional process analysis, to conceive, construct and operate in socio-political urban landscapes. Today, with blistering social connectivity and abundance of satellite data, humanitarian crisis and conflict zones have increasingly become information rich yet remain analytically poor environments. Crisis Infrastructure examines novel ways in which we can leverage cognitive AI, machine learning algorithms and digital mapping methods to analyze, visualize, identify, investigate and learn from hidden patterns in the information war.
Using several case studies, we explore through our interdisciplinary tools and expertise, the realm of cognitive AI, computer vision and machine learning applied to remote sensing, to develop a robust infrastructure for use in humanitarian crisis. This builds upon the multidisciplinary toolset CAT, Conflict Analysis Toolbox, that was developed at the Spatial Information Design Lab, Columbia University and was funded by the Knight Prototype Grant (Jan 2015) and Tow Center for Digital Journalism (Aug 2015), Columbia University. CAT, is a suite of analytic algorithms that provides the user with a sound scientific framework, to mine, analyze, interpret geospatial data and extract valuable information from cross resolution, satellite imagery to characterize changes resulting from social conflict or natural disasters.
Presenters
Columbia University