Welcome to NYU Steinhardt’s Department of the Applied Statistics, Social Science, and Humanities! I invite you to spend a few minutes learning about our programs and the research interests and accomplishments of our faculty and students.
Our faculty has expertise in wide-ranging topics, from the effects of conflict on education to school choice policy and politics; from LGBTQ social change to psychometrics and educational measurement; from trends in teacher quality and equity of education funding to neighborhood institutions and their role in supporting educational achievement. Data policy science, algorithm fairness and computational social science are recent additions. We are a diverse, multidisciplinary group of educators made up of economists and historians, philosophers and political scientists, sociologists and statisticians/data scientists, dedicated to investigating urgent social trends and questions.
The Department of the Applied Statistics, Social Science, and Humanities is home to a group of applied statisticians (with training in computer science, economics, demography, mathematics, policy science, and psychometrics) who develop new techniques and employ cutting-edge methodology to answer interesting and nuanced questions in rigorous ways. These scholars conduct research in the Center for the Practice and Research at the Intersection of Information, Society, and Methodology (PRIISM).
In addition, the department offers a wide array of Interdepartmental Research courses to train students across the university in several different modes of research methodology.
At the undergraduate level, students in our department and across the university explore education from a liberal-arts perspective through our Education Studies Major and our Global and Urban Education Studies Minor.
At the graduate level, students receive skills-based training in the department’s represented disciplines, which the students apply in four broad areas: applied statistics/data science, international comparative studies, social and cultural analysis, and policy study and evaluation. Our different programs are united by a global orientation and a special concern for policy-relevant inquiry.
I hope to welcome you soon!
Marc A. Scott
Professor of Applied Statistics