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 about how lab experiments, crowdsourcing, and machine learning were combined to evaluate the impact of different types of vaccine-related content on US Facebook users. with Dr. Jenny Allen, assistant professor at NYU Stern.
Highlights
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.
Word choice matters: How wording affects what readers interpret
Dr. Jennifer Hill and colleagues investigate how specific language used to connect results to conclusions influences how readers perceive the research findings and whether readers infer a causal relationship.
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