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.
PRIISM Seminar Series
Watch the PRIISM seminar with Dr. Sanford Student who talks about how to apply moderated nonlinear factor analysis to causal inference in randomized controlled trials and distinguish genuine intervention effects from measurement bias.
Highlights
Charter vs. traditional schooling in NYC
PRIISM faculty members Ying Lu, Sharon Weinberg and Meryle Weinstein along with PRIISM/A3SR alum Dorothy Seaman provide a comprehensive examination of school choice patterns across the elementary years by following a cohort of students from kindergarten in 2012 through 5th grade in 2017.
Bridging the implementation gap with thinkCausal
PRIISM researcher and SCSS doctoral student George Perrett and Drs. Jennifer Hill and Marc Scott found that scaffolding software use through a think-and-do tool, thinkCausal, can increase the usability of causal inference software and reduce existing implementation gaps compared to traditional software.
Can policing be improved with AI?
Dr. Alex Chohlas-Wood published an opinion piece in Vital City arguing that the NYPD should move beyond bans on AI and instead leverage the technology responsibly to accelerate police reform and operational efficiency.
Hill and Perrett launch data challenge
PRIISM researchers Jennifer Hill and George Perrett, along with UW-Madison collaborator Sameer Deshpande, recently launched the 2026 ACIC Causal Inference Data Challenge.
View our gallery of past highlights.
The PRIISM Team
Meet the faculty, researchers, students, and affiliates working at PRIISM
Meet the TeamMS, 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 ApplyPhD, Statistics and Computational Social Science
PRIISM is highly integrated with the doctoral program of Statistics and Computational Social Science. Learn about statistical, computational, and social science theory and how the combination of these disciplines can be used to understand and address problems of social importance in public health, education, criminal justice, and other domains.
Degree Details How to Apply
