I am using bots to monitor end-user water quality to predict system interaction byproducts and contaminate drainage vectors.
For several years I have been building bot nets anticipating a growth in crowd sourced water data. The growth in water data on social media ranges from citizen scientist using cell phone attachments as water test devices to people posting vacation photos. The methods are information technologies, social media management and geographic information systems. The application of the sum of the methods is water event monitoring for predictive epidemiology. Because water is always vectored, aggregated values can run a google flu predictor for epidemiology. All of these function and system are currently in use for a variety of purposes. I have been constructing isolated systems to assemble into a large whole for the purpose of predictive epidemiology. Isolated systems include networked, multi-platform automated "bots," cloud spreadsheet data aggregation of said "bots" and spreadsheet data to geo-reference, web-hosted map for interactivity.
Risks and challenges
These system and methods are currently the subject of public discource.Learn about accountability on Kickstarter
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