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    James Pustejovsky

    Dr. Pustejovsky is an applied statistician, whose research aims to solve problems in how quantitative methods are employed in education and social science research.

    His work involves developing new statistical methodology, building computing tools, and providing guidance about how to use statistical methods in specific research contexts.

    James Pustejovsky holds the TJX Felberg Chair in Computer Science at Brandeis University, where he directs the Lab for Linguistics and Computation, and chairs.

    His main area of scholarly interest is in meta-analysis, which is the set of statistical techniques for quantifying, summarizing, and synthesizing evidence from different sources (such as primary studies conducted by different researchers in different settings) in order to draw general conclusions about a phenomenon.

    Within meta-analysis, he has worked on problems of synthesizing effects that have an unknown dependence structure, problems of detecting selective reporting (publication bias), and methods for synthesizing the findings of single-case experimental designs.

    He often collaborates with scholars conducting large-scale res