Mapathons, movement data, machine-learning – oh my! A ‘jam session’ on geospatial data innovations and how to use them
Organizer: Mapbox, MIT Urban Risk Lab, Youth Innovation Lab Nepal, Thinking Machines, First Street Foundation
| The world of data sources that are useful for the assessment and communication of risk is expanding rapidly. New and emerging data sources, especially for geospatial data, present exciting opportunities to aid disaster prevention, preparation, response, and recovery. However there are important questions about when and how to use these data sources, especially for government actors. Join us for a ‘jam session’ on the merits and limitations of innovative geospatial data such as crowd-sourced maps, movement telemetry from smartphones, machine-generated data from satellite imagery, and the latest in flood modeling. This conversation will contribute to a broader consensus around ways of bridging conventional protocols and novel techniques for geospatial data creation, processing, and use in risk assessment, reduction, and communication. |
Speakers:
Pradip Khatiwada, Executive Director, Youth Innovation Lab Nepal
Miho Mazereeuw, Director, MIT Urban Risk Lab
Aditya Barve, Research Scientist, MIT Urban Risk Lab
Ram de Guzman, Product Manager, Geospatial, Thinking Machines
Mike Amodeo, Director of Data Science, First Street Foundation
