SOCR News NIH BRAIN 2020
Contents
SOCR News & Events: 2020 6th annual BRAIN Initiative Investigators Virtual Meeting: Spacekime Analytics
Logistics
- Event: 2020 6th annual BRAIN Initiative Investigators Virtual Meeting
- Date/Time: Monday-Tuesday, June 1-2, 2020, Virtual Meeting
- Registration: Registration
- Webcast: Webcast
- Poster: Poster PDF (requires registration)
- Title: Data Science, Time Complexity, and Spacekime Analytics
- Presenter: Ivo Dinov
- PDF: Poster
Abstract
The immersion of Big Data in all human experiences presents important challenges of managing, modeling, analyzing, interpreting, and visualizing complex information. There is a substantial need to develop, validate, productize, and support novel mathematical techniques, advanced statistical computing algorithms, transdisciplinary tools, and effective artificial intelligence apps.
Spacekime analytics is a new technique for modeling high-dimensional longitudinal data. This approach relies on extending the notions of time, events, particles, and wavefunctions to complex-time (kime), complex-events (kevents), data and inference-functions. We will illustrate how the kime-magnitude (longitudinal time order) and kime-direction (phase) affect the subsequent predictive analytics and the induced scientific inference. The mathematical foundation of spacekime calculus will reveal various statistical implications including inferential uncertainty and a Bayesian formulation of spacekime analytics. Complexifying time allows the lifting of all commonly observed processes from the classical 4D Minkowski spacetime to a 5D spacetime manifold, where a number of interesting mathematical problems arise.
Direct data science applications of spacekime analytics will be demonstrated using simulated data, clinical observations (e.g., UK Biobank), and environmental air quality data.
- Joint work with Milen V. Velev (Burgas University, Bulgaria).
Demos
References
- This work is sponsored in part by NIH Grants P30 DK089503, P20 NR015331, R01CA233487, and R01MH121079, as well as, NSF Grants 1916425, 1734853 and 1636840.
- Dinov, ID and Velev, MV (2021) Data Science: Time Complexity, Inferential Uncertainty, and Spacekime Analytics, De Gruyter (STEM Series), Berlin/Boston, ISBN 9783110697803 / 3110697807.
- SOCR Home page: http://www.socr.umich.edu
See also
- General SOCR Webapps
- SOCR BrainViewer
- Motion Charts webapp (try it with your own high-dimensional longitudinal data, e.g., Ozone Data)
- Hands-on interactive visualization of extremely high-dimensional data (learning module and webapp)
- Predicting Hospitalization-based Pressure Injuries (webapp)
- Virtual Hospital and Simulated Patient EHR Data (webapp)
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