This $450,000 Project Grant award from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program supports a 3-year research project at Dartmouth College. The project, titled "HNDS-R: Secrecy and Stratification -- A Network Analysis", aims to conduct a large-scale empirical investigation of global offshore financial networks and their role in driving wealth inequality. The research leverages newly available "big data" resources, including the Offshore Leaks Database, to apply network science and machine learning techniques. The goals are to build robust data infrastructure and theoretical models to advance high-quality research on secrecy and stratification, as well as address key unanswered questions about the growth and structure of global inequality. The project will produce a unique and valuable database resource for other social scientists and develop a multi-dimensional model of secrecy. No sub-awards are planned for this grant.
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