Part of my work deals very specifically with understanding the types of information necessary to visualize vulnerability and crisis situations around the globe. Crisis mapping is a relatively new discipline, born of the many open source mapping technologies only available in the past 5 years. There are a number of key actors involved in the deployment of crisis maps, from developers to workers on the ground, from intelligence agencies to NGO's, from government agencies to all-volunteer groups, who all have a vested interest in generating and sharing critical data and information to "crisis remedy teams". The work I focus on specifically is how to merge heterogeneous streams of intelligence and analysis that do not have a ready-for-prime-time form (incomplete datasets, fragmented data, non-data intensive content that is not easily merged with data-intensive streams) but are nonetheless critical to optimal decisionmaking and deployment of remedy resources.
You never have all the information you need to make the best decisions, and the work I do attempts to reduce decision-fatigue by effectively inventorying and synthesizing incomplete datasets by rethinking the contextual frameworks and visual grammars by which these datasets are represented.