Statistics Online Computational Resource (SOCR)

provides portable online aids for probability, statistics, and health science education.


Ivo Dinov


North Ingalls Building
426 N. Ingalls St, Ann Arbor, MI


Who We Serve

University of Michigan Researchers and External Researchers

Core Summary

The Statistics Online Computational Resource (SOCR) designs, validates and freely disseminates knowledge. Specifically, SOCR provides portable online aids for probability, statistics and health science education, promotes technology-enhanced instruction, supports efficient statistical computing, and advances predictive big data analytics. The SOCR platform includes a repository of interactive applets, computational web apps, graphing tools, instructional resources, learning materials, and curricular components. SOCR faculty, staff and students provide support for data and information sciences and analytics support of biomedical, healthcare, and biostatistical investigations.

Service Categories: Education and Training Service Categories: Human Research Service Categories: Imaging Service Categories: Informatics, Statistics and Computation


Artificial Intelligence (AI)
Develop/apply/validate AI and machine-learning methods to challenging Big Data problems,

Data analysis
Support for data acquisition/analysis of multiplex data (large and high-dimensional),

Data management
Development and use of database and software tools for information organization and visualization of tightly-linked multiscale data for T1 translation of research knowledge relevant to obesity, Expertise in database construction/maintenance/security relevant to investigators' studies,

Research consulting
Data/analytics/visualization support for research studies/papers/grants/collaborations, Expertise in experimental design and modeling for preclinical/clinical/translational research studies that integrate clinical/molecular/neurobehavioral/other phenotype data,

Expertise in bioinformatics and data mining, Statistical analysis,


Online learning modules
Data Science and Predictive Analytics, Probability and Statistics EBook,

1.5TB RAM computational servers (pair),