Description

We propose a next-generation cloud-based social media visual analytics disaster response system that will enable decision-makers and first-responders to obtain real-time analytics (both descriptive and predictive) for situational awareness and early-warning. Social media sites like Twitter and Facebook provide rapid "sensory" feedback from "human sensors" – the millions of people on the ground including those affected by the disaster as well as hundreds of first-responders and relief organizations. The problem is that this social media data can be overwhelming and noisy (lots of irrelevant stuff). Our proposed innovation is to combine and analyze this social media unstructured "big-data", together with other structured data from a variety of sources including NASA. The emphasis is on visual analytics which will allow all these diverse geospatial data to be integrated and analyzed on a real-time basis in an intuitive manner. We utilize geobrowsers such as COAST, Google Earth, and OpenStreetMap for display of the output of the visual analytics prediction system. This is an interactive system which enables the relevant users and decision-makers to provide input to the analytics process as the solution evolves.

General Information

• This data is described at

  http://catalog.data.gov/dataset/cloud-based-social-media-visual-analytics-disaster-response-system-project Do you think this data is incorrect? Let us know

• This data is published by

  National Aeronautics and Space Administration Do you think this data is incorrect? Let us know

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• The rights statement is at

  http://catalog.data.gov/dataset/cloud-based-social-media-visual-analytics-disaster-response-system-project Do you think this data is incorrect? Let us know

• Outside the US, this data is available under

  Creative Commons CCZero Do you think this data is incorrect? Let us know

• There are

  yes, and the rights are all held by the same person or organisation Do you think this data is incorrect? Let us know

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  no data about individuals Do you think this data is incorrect? Let us know

Practical Information

• The data appears in this collection

  http://catalog.data.gov/organization/nasa-gov Do you think this data is incorrect? Let us know

• The accuracy or relevance of this data will

  go out of date but it is timestamped Do you think this data is incorrect? Let us know

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Technical Information

• This data is published at

  http://techport.nasa.gov/xml-api/16562 Do you think this data is incorrect? Let us know

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  machine-readable Do you think this data is incorrect? Let us know

• The format of this data is

  a standard open format Do you think this data is incorrect? Let us know

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• Find out how to contact someone about this data at

  http://catalog.data.gov/dataset/cloud-based-social-media-visual-analytics-disaster-response-system-project Do you think this data is incorrect? Let us know

• Find out how to suggest improvements to publication at

  http://www.data.gov/issue/?media_url=http://catalog.data.gov/dataset/cloud-based-social-media-visual-analytics-disaster-response-system-project Do you think this data is incorrect? Let us know