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CSSS faculty and graduate students collaborate to develop cutting-edge statistical methodologies for the social sciences, and to advance social science research more generally. Current areas of research strength include statistical analysis of social networks, population projections, spatial statistics, and the statistical analysis of data generated by social media and other electronic data sources. Many faculty members adopt a Bayesian approach, which allows for quantification of uncertainty in statistical estimates. Another feature of CSSS research is its attention to the visual presentation of quantitative results. We are also committed to principles of reproducibility in scientific research.

New Bayesian Projections of World and Continental Populations. Building on methodology developed by CSSS Founding Director Adrian Raftery. Figure published in Science (346:234-237 (2014).)