PRIISM, the Center for Practice and Research at the Intersection of Information, Society, and Methodology, is an interdisciplinary center that builds capacity for researchers within academia and beyond to collect data, build inferential models and predictive algorithms, and communicate findings in impactful and socially responsible ways.
Interpreting Research Findings Experiment
Have you ever wondered how your students interpret the results of research findings? If you’re interested in using a short (<10 min) randomized survey with your students this Fall, visit the Interpreting Research Findings Experiment page to find out more information.
Read the special issue on Early Childhood Development in Emergencies led by editor-in-chief and PRIISM associate faculty, Dr. Dana Burde and senior managing editor, Dr. Heddy Lahmann.
Dr. Ravi Shroff has a forthcoming chapter in the upcoming 5th edition of Social Stratification.
Dr. Yoav Bergner recently published an article on the interaction between resilience and ability in assessments. Be on the lookout for a forthcoming article in Psychometrika.
Student Visualization Contest Winner
Congratulations to Dorothy Seaman, the winner of our third PRIISM/A3SR student visualization competition! The visualization shows that 22% of Kindergarteners citywide enroll in non-charter public schools other than their zoned public schools compared to 9% who enroll in charter.
MS, Applied Statistics for Social Science Research
PRIISM is highly integrated with the academic program of Applied Statistics for Social Science Research. Learn advanced quantitative research techniques and apply them to critical policy issues across social, behavioral, and health sciences.Degree Details How to Apply
MA, Education and Social Policy
PRIISM is highly integrated with the academic program of Education and Social Policy. Learn how to use statistics, data sets, and research results to formulate, implement, and evaluate educational policies for grades K-12 and higher education.Degree Details How to Apply
Funded by the Moore Sloan Data Science Environment at NYU
highly-selective fellowship is to support the growth and development of a promising student in their first year of the Applied Statistics for Social Science Research MS program.