Data-Driven Social Science

What is DDSS?

DDSS supports research at the technical forefront of quantitative inquiry in the social sciences, with a focus on innovation that carries multidisciplinary benefits and topics that hold contemporary relevance. 

About Us

Call for proposals

We offer two types of funding for innovative quantitative research, depending on the scope and technical requirements of the project. We invite large-scale grant proposals twice a year. Small-scale grant applications are considered on a rolling basis.

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Princeton's new research data environment offers security, collaboration

Led by a research team at Princeton University, the New Jersey Families Study examines the lives of young children using an innovative methodology…

Network for Data-Intensive Research on Aging

The Network for Data-Intensive Research on Aging (NDIRA) will support an emerging interdisciplinary community of scientists using novel collections of cross-sectional, longitudinal, and contextual data for research on population aging. NDIRA will bring established scholars of aging together with scholars new to the field and introduce them to data that are fundamental to understanding health outcomes at older ages. 

Quantitative Social Science – An Introduction in Stata

Princeton University Press announced the publication of Quantitative Social Science – An Introduction in Stata by Kosuke Imai and Lori Bougher. The book is “a practical introduction to data analysis and statistics written especially for undergraduates and beginning graduate students in the social sciences and allied fields, such as business, economics, education, political science, psychology, sociology, public policy, and data science.”

Research Tools & Services

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Photo credit: Timon Studler