Methodology and Quantitative Social Sciences

Methodology and Quantitative Social Sciences provides state-of-the-art methodological expertise that leads to insights about our society, informs decision-making, and advances research in areas such as social science, program evaluation, and policy analysis. Examples include causal inference methods applied to data from randomized experiments or gathered from observational sources, natural language processing, network methods, and spatial modeling. Our research methodologists provide expertise in using existing and emerging data sources; harnessing novel data sources and technologies to improve data gathering; assessing and improving data quality; understanding the cognitive processes informing the user experience for survey respondents; designing instruments for multiple modes; and developing and testing novel techniques to enhance recruitment and retention of study participants.