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?