View source for SOCR News Biophysics 2020 Spacekime

== [[SOCR_News | SOCR News & Events]]: UM Biophysics Seminar ==

[[Image:SOCR_UMich_2020a.png|150px|thumbnail|right| [https://socr.umich.edu SOCR Resource] ]]


==Logistics==
* [https://lsa.umich.edu/physics/news-events/seminars-colloquia/biophysics-seminars.html UM Biophysics Seminar Series]
* '''Date/Times''': Friday, September 11, 2020, 12 Noon (ET)
* '''Zoom''': TBD
* '''Title''':  ''Data Science, Time Complexity, and Spacekime Analytics''
* '''Presenter''':  [http://umich.edu/~dinov Ivo Dinov], joint work with [http://socr.umich.edu/people/Milen_Velev.html Milen V. Velev] (Burgas University)
[[Image:Spacekime_TCIU_Trivial_PolarCylinder_WaveEqu_Phase.png|150px|thumbnail|right| [https://www.socr.umich.edu/TCIU/ Spacekime/TCIU Project] ]]
* '''Abstract''': Digital information flows impact all human experiences.  The proliferation of large, heterogeneous, and spatio-temporal data requires novel approaches for managing, modeling, analyzing, interpreting, and visualizing complex information. The scientific community is developing, validating, productizing, and supporting 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 reveals interesting statistical implications including inferential uncertainty and a Bayesian formulation of spacekime analytics. Complexifying time allows the lifting of all commonly observed processes (e.g., time-series) from the classical 4D Minkowski spacetime to a 5D spacekime manifold (e.g., kime-surfaces), where a number of mathematical problems remain to be solved. 

: We will present several direct data science applications of spacekime analytics using simulated data, clinical observations (e.g., UK Biobank), and environmental air quality data.


==SOCR Background==
* [[SOCR_News | SOCR News & Events]]
* [http://www.socr.umich.edu/html/SOCR_UserGoogleMap.html SOCR Global Users]
* [http://socr.umich.edu/html/Navigators.html SOCR Navigators]
* [[SOCR_Data | SOCR Datasets and Challenging Case-studies]]
* [[SOCR_Books|Electronic Textbooks]]: 
** [[EBook| Probability and Statistics EBook]] 
** [[SMHS | Scientific Methods for Health Sciences]] 
** [http://dspa.predictive.space Data Science and Predictive Analytics]

* [https://www.socr.umich.edu/spacekime/ Spacekime website]
* [http://tciu.predictive.space/ Time-Complexity and Inferential Uncertainty (TCIU)]

==SOCR Demos==
* [http://socr.umich.edu/HTML5/ General SOCR Webapps]
* [http://socr.umich.edu/HTML5/BrainViewer/ SOCR BrainViewer]
* [https://socr.umich.edu/HTML5/MotionChart/ Motion Charts webapp] (try it with your own high-dimensional longitudinal data, e.g., [https://wiki.socr.umich.edu/index.php/SOCR_Data_121608_OzoneData Ozone Data])
* [http://socr.umich.edu/HTML5/SOCR_TensorBoard_UKBB/ Hands-on interactive visualization of extremely high-dimensional data (learning module and webapp)]
** [http://socr.umich.edu/HTML5/SOCR_TensorBoard_UKBB/UsersData.html Country Ranking study]
** [http://socr.umich.edu/CSCD/html/Cores/Macore2/CSCD_SOCR_Diabetes_CaseStudy/ Diabetes Case-Study]
* [http://myumi.ch/O49zG Predicting Hospitalization-based Pressure Injuries (webapp)]
* [http://myumi.ch/qgY7v Virtual Hospital and Simulated Patient EHR Data (webapp)]

<hr>

==References==
* This work is supported in part by NIH Grants [http://projectreporter.nih.gov/project_info_details.cfm?aid=8975330&icde=25689118 P30 DK089503], [http://projectreporter.nih.gov/project_info_description.cfm?aid=8821268&icde=22205726 P20 NR015331], [https://projectreporter.nih.gov/project_info_description.cfm?aid=9816658 R01CA233487], and [https://projectreporter.nih.gov/project_info_details.cfm?aid=9842024 R01MH121079], as well as, NSF Grants [http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1916425 1916425], [http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1734853 1734853] and [http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1636840 1636840].
* Dinov, ID and Velev, MV (2021) [https://www.degruyter.com/view/title/576646 Data Science: Time Complexity, Inferential Uncertainty, and Spacekime Analytics], De Gruyter (STEM Series), Berlin/Boston, ISBN 9783110697803 / 3110697807. 
* [https://www.socr.umich.edu SOCR Home page]
* [https://spacekime.org www.Spacekime.org]
* [https://tciu.predictive.space TCIU website].

 

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