Accession Number : ADA571799

Title :   Social Radar Workflows, Dashboards, and Environments

Descriptive Note : Conference paper

Corporate Author : MITRE CORP BEDFORD MA

Personal Author(s) : Mathieu, Jennifer ; Fulk, Michael ; Lorber, Martha ; Klein, Gary ; Costa, Barry ; Schmorrow, Dylan

Full Text :

Report Date : Jan 2012

Pagination or Media Count : 28

Abstract : To build a global Social Radar, an integrated set of capabilities supporting strategic and operational level situation awareness, alerts, and option awareness, there is a need for an overarching enterprise approach. Social Radar's objective is to demonstrate a useful, mission focused, end-to-end environment--a dashboard of socio-cultural indicators created from online news, blogs, and social media data processed at scale, as well as decision support tools. An enterprise focused testbed for early transition of sociocultural tools requires a data-to-decision support system. Such a system needs to provide tools to allow analysts to tailor and weight the fusion of indicators, to use online sources to update simulation model parameters to evaluate courses of action, and to use outcomes of course of action models to provide quantitative metrics for indicator integration strategies. This large scope requires an analysis environment that supports the development of common output measures, management of uncertainty analyses, and system evaluation and validation. Making these items requirements from the start ensures that Social Radar is addressing the most challenging aspects for use of sociocultural data and tools to support missions. Based on ten months of work on the Social Radar prototype, the following capabilities were built: (1) federated search of all available widgets for a topic, (2) hotspots on a globe for instability monitoring, (3) ability to analyze datasets with timelines and topic cloud visualizations, (4) news search capability, and (5) use of various other analytic drilldown tools. This demonstrated the possibilities of a Social Radar when fully mature. Business process lessons learned and next steps are shared for rigorous use of analytic tools and series of tools (workflows); data, indicator, and model outcome visualization strategies (dashboards); and supporting architecture for data processed at scale and near-real time monitoring (environments).


Subject Categories : Information Science
      Sociology and Law
      Computer Programming and Software
      Human Factors Engineering & Man Machine System

Distribution Statement : APPROVED FOR PUBLIC RELEASE