One of the challenges of using big data to produce useful intelligence is that the task of intelligence analysis is hard to conceptualize and to learn. This extended abstract from the Human-Centered Big Data Research workshop describes a research program for eliciting experts' representations of problems in intelligence analysis and transferring those representations to other analysts. The program has five steps: (1) identify experts, (2) elicit experts' mental models, (3) represent experts' mental models, (4) create training to teach those mental models, and (5) include those mental models in tools designed to help analysts. Similar types of training, which use cognitive task analysis to produce curricula that allow novices to perform tasks using methods derived from expert performance, have been successful in other cognitively complex domains. We propose a way to use this kind of elicitation and training to extend expertise in intelligence analysis.

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