Professor PARTHA LAHIRI is improving statistical methodology that can link multiple complex big databases in order to extract maximum possible information at the lowest possible cost. In order to facilitate researchers’ access to confidential databases, he is developing statistical methodology that can produce synthetic data to protect sensitive information contained in the original databases. His research can help improve government fund allocation formulas and regional planning. For example, more than $130 billion are allocated each year to states and localities based on the Model-Based Small Area Income & Poverty Estimates produced by the Census Bureau. Lahiri’s refined methodology could keep low-income students fed and get them the books and other resources they need to succeed in school.