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
Traditional questionnaire scoring method beats novel approach in measuring scleroderma disability
Dr. Daphna Harel, alongside Applied Statistics for Social Science Research Masters alum Yining Lu and colleagues published an article demonstrating that the traditional health scorecard remains the most effective tool for tracking daily disability in scleroderma patients.
Wider gains in children’s speech therapy with biofeedback
Drs. Tara McAllister and Jennifer Hill and colleagues find that biofeedback speech therapy improved children’s ability to say "R" correctly in everyday words they never practiced in therapy.
View our gallery of past highlights.
The PRIISM Team
Meet the faculty, researchers, students, and affiliates working at PRIISM
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.
PhD, 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.
