Analytics

LAS is interested in developing and deploying new methods, techniques, and tools for analyzing data, both quantitative and qualitative. Of particular interest are questions that arise in the context of “4 Vs of big data”: volume, velocity, variety, and veracity. For example, how can analysts understand increasingly large sets of data and rapidly triage the data to find the information they need? What are the most effective visualizations for streaming data? How do we combine heterogeneous data to characterize behavior and understand the uncertainties of our inferences? How do we assess the utility of “open source” data from the Internet, press, television, video, photos, and social media?

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LAS aims to bring together a multi-disciplinary group of academic, industry, and government researchers, analysts and managers together to re-engineer the intelligence analysis process to promote predictive analysis. LAS will do this by conducting both classified and unclassified research in a variety of areas of research. The research done in this area will serve as the foundation for mission effects and integrated back into the enterprise.

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