Systems and methods for distributed risk analysis

Abstract

Systems and methods for distributed risk analysis are discussed.

We claim: 
     
         1 . A system for performing distributed risk analysis, the system comprising:
 a database configured to store data files;   a risk analysis module executable by at least one processor, the risk analysis module communicatively coupled to a plurality of third party sources associated with a plurality of geographical locations, the risk analysis module when executed:
 aggregates a plurality of data files from the plurality sources, the data files associated with news articles and risk values, 
 classifies the plurality of data files based on subject matter, and 
 stores the plurality of data files into the database; 
   a user dashboard executing on a computing device and communicatively coupled to the module, the user dashboard configured to:
 display, based on subject matter and risk value, at least one article associated with a data file, 
 receive a user selection of the at least one article to initiate an event, 
 receive user comments associated with the event, and 
 display the user comments in association with the event. 
   
     
     
         2 . The system of  claim 1 , wherein the module, when executed, is further configured to:
 group articles based on related subject matter,   wherein the user dashboard displays the grouped articles in a feed.   
     
     
         3 . The system of  claim 1 , wherein the user dashboard displays a risk map that indicates risk trends. 
     
     
         4 . The system of  claim 1 , wherein the user dashboard displays an articles map that indicates a location of the at least one article or the event. 
     
     
         5 . The system of  claim 1 , wherein the module uses geofencing based on a location of a user or a subject matter assigned to the user to determine the at least one article to display to the user. 
     
     
         6 . The system of  claim 1 , wherein the data files are associated with news stories and risk scores from global risk subscription services. 
     
     
         7 . The system of  claim 1 , wherein machine learning is used to suggest or display articles for a user. 
     
     
         8 . The system of  claim 1 , wherein a user can use the user dashboard to at least one of create, save, edit, or share the at least one article. 
     
     
         9 . A method for performing distributed risk analysis, the method comprising:
 aggregating, via a risk analysis module executable by at least one processor, the risk analysis module communicatively coupled to a plurality of third party sources associated with a plurality of geographical locations, a plurality of data files from the plurality of third party sources, data files associated with news articles and risk values;   classifying, via the risk analysis module, the plurality of data files based on subject matter;   storing, via the risk analysis module, the plurality of data files into a database configured to store data files;   displaying, via a user dashboard executing on a computing device and communicatively coupled to the module, based on subject matter and risk value, at least one article associated with a data file;   receiving, via the user dashboard, a user selection of the at least one article to initiate an event;   receiving, via the user dashboard, user comments associated with the event; and   displaying, via the user dashboard, the user comments in association with the event.   
     
     
         10 . The method of  claim 9 , further comprising:
 grouping, via the risk analysis module, articles based on related subject matter,   wherein the user dashboard displays the grouped articles in a feed.   
     
     
         11 . The method of  claim 9 , further comprising displaying, via the user dashboard, a risk map that indicates risk trends. 
     
     
         12 . The method of  claim 9 , further comprising displaying, via the user dashboard, an articles map that indicates a location of the at least one article or the event. 
     
     
         13 . The method of  claim 9 , further comprising using, via the risk analysis module, geofencing based on a location of a user or a subject matter assigned to the user to determine the at least one article to display to the user. 
     
     
         14 . The method of  claim 9 , wherein the data files are associated with news stories and risk scores from global risk subscription services. 
     
     
         15 . The method of  claim 9 , further comprising using, via the risk analysis module, machine learning to suggest or display articles for a user. 
     
     
         16 . The method of  claim 9 , wherein a user can use the user dashboard to at least one of create, save, edit, or share the at least one article. 
     
     
         17 . A non-transitory computer-readable medium having instructions stored thereon that, when executed by a processor, cause a system to:
 aggregate, via a risk analysis module executable by at least one processor, the risk analysis module communicatively coupled to a plurality of third party sources associated with a plurality of geographical locations, a plurality of data files from the plurality of third party sources, data files associated with news articles and risk values;   classify, via the risk analysis module, the plurality of data files based on subject matter;   store, via the risk analysis module, the plurality of data files into a database configured to store data files;   display, via a user dashboard executing on a computing device and communicatively coupled to the module, based on subject matter and risk value, at least one article associated with a data file;   receive, via the user dashboard, a user selection of the at least one article to initiate an event;   receive, via the user dashboard, user comments associated with the event; and   display, via the user dashboard, the user comments in association with the event.   
     
     
         18 . The non-transitory computer-readable medium of  claim 17 , wherein the instructions further cause the system to:
 group, via the risk analysis module, articles based on related subject matter,   wherein the user dashboard displays the grouped articles in a feed.   
     
     
         19 . The non-transitory computer-readable medium of  claim 17 , wherein the instructions further cause the machine learning system to display, via the user dashboard, an articles map that indicates a location of the at least one article or the event. 
     
     
         20 . The non-transitory computer-readable medium of  claim 17 , wherein a user can use the user dashboard to at least one of create, save, edit, or share the at least one article.