Social computing blends computational techniques such as statistics, machine learning, text mining, and graph theory, with psychological and organizational theories of process and structure, and social science theories of membership, engagement and communication. The application of social computing approaches for assessing and shaping the sociocultural landscape within an area of operations is of growing interest to the defense and intelligence community. These approaches can enable the understanding of how patterns of relations among actors, their environment, and resources influence behavior, and how interventions might change those patterns so altering that behavior. Recently the Army conducted a Workshop on Social Computing Research at the U.S. Army Research Laboratory (ARL). The purpose of the workshop was to understand the strengths and limits of current computational research applied to socially-created data while identifying critical research needs and opportunities of interest to the Army. We discuss several social computing strategies resulting from the workshop and propose a set of recommendations for integrating social computing in key ARL basic research science and technology objectives.