Mapathons, machine-learning, models – oh my! A friendly debate about data sources and how to use them>
| 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 friendly debate and discussion of the merits and limitations of various data sources, with a particular focus on geospatial data such as crowd-sourced maps and machine-generated data from satellite imagery. This conversation will contribute to a broader consensus around ways of bridging conventional protocols and novel techniques for data creation, processing, and use throughout the disaster timeline. |
Organizer: Mapbox, MIT Urban Risk Lab
