SOCR Intro UMich Fall 2018

Logistics

• Event: August 30, 2018 New School of Nursing Faculty Orientation
• Place/Time: 11:20 AM, 426 N. Ingalls (SNB 1250)
• Presenter: Ivo D Dinov

Outline

SOCR Resource

The Statistics Online Computational Resource (SOCR) designs, validates and freely disseminates knowledge. 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 infrastructure includes a repository of interactive applets, computational webapps, graphing tools, instructional resources, challenging case-studies, learning materials, and many curricular components.

SOCR Services

• Consultations on data analytic problems, computational challenges, statistical methods
• Methodological support for research studies, grant applications, and publications,
• Technology support for data management, wrangling, visualization, and interrogation of complex, multi-source, heterogeneous biomedical and health data,
• High-performance, large-memory computing services, and
• Biomedical informatics, health analytics, and machine-learning classification, prediction and clustering.

Examples of specific SOCR Resources

• SOCR Navigators
• SOCR Datasets and Challenging Case-studies
• Electronic Textbooks: Probability and Statistics EBook, Scientific Methods for Health Sciences, Data Science and Predictive Analytics
• Hands-on interactive visualization of extremely high-dimensional data (learning module and webapp)
• SOCR News & Events
• SOCR Global Users

SOCR Tools

The Statistics Online Computational Resource (SOCR) provides tools and services for capturing and interrogating biomedical and healthcare data. These include SOCR Analytical Toolkit (SOCRAT), SOCR Data Dashboard Webapp, SOCR PubMed Navigator, Motion Charts, Randomization, Resampling and Simulation Webapp Violin Chart, Interactive (3D) Bivariate Normal Distribution Calculator webapp, Normal Distribution Calculator, Distributome Probability Calculators, Virtual Experiments, Simulators, Probability Distributome Navigator, Econometrics Webapps, XTK/HTML5 Brain Viewer and BrainBook Painter, DataSifter: Sharing and Obfuscation of Sensitive Data, CBDA: Compressive Big Data Analytics, 2D Interactive Voronoi Tessellation App, SOCR t-SNE Dimensionaltiy Reduction (TensorBoard) UKBB Machine Learning Modules, SOCR GitHub Resources, Apps, Code, Tools, and other Services.

SOCR Team

SOCR Team

References

• SOCR Publications
• Dinov, ID, 2018. Data Science and Predictive Analytics: Biomedical and Health Applications using R, Springer, Computer Science, ISBN 978-3-319-72346-4.
• Data Science and Predictive Analytics (DSPA) Website: http://predictive.space
• SOCR Funding
• This summary, links and materials are available online: http://wiki.socr.umich.edu/index.php/SOCR_Intro_UMich_2018.

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• SOCR Home page: http://www.socr.umich.edu

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