System and method for crowd-sourced refinement of natural phenomenon for risk management and contract validation

A system for crowd-sourced refinement of natural phenomenon for risk management and contract validation, comprising:

• at least one physical sensor;
• at webcrawler comprising at least a second plurality of programming instructions stored in the memory of, and operating on at least one processor of, a computing device, wherein the second plurality of programming instructions, when operating on the processor, cause the computing device to:
• automatically gather data from a plurality of Internet-enabled sources including social media, search engine results, website data, and news outlets;
• send gathered data to a sensor fusion suite over a network;
• a sensor fusion suite comprising at least a network adapter, a data ingester, data transformer, a data analyzer, a multidimensional time-series database, a third plurality of programming instructions stored in the memory of, and operating on at least one processor of, a computing device, wherein the third plurality of programming instructions, when operating on the processor, cause the computing device to:
• ingest data from at least a webcrawler and at least one physical sensor over a network;
• record received data and the time of reception, and the timestamp of data retrieval from the webcrawler and the at least one physical sensor, in the multidimensional time-series database;
• reformat received data as needed;
• perform analysis using machine learning techniques on the received data;
• construct models of predicting future events or outcomes of occurring events based on analyzed data;
• record the data analysis and the constructed model and associated times of analysis and construction in the multidimensional time-series database;
• and
• make the results of the data ingestion and analysis available for viewing to an operating system.