Difference between revisions of "SOCR News JMM DS Session 2021"

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== [[SOCR_News | SOCR News & Events]]: 2021 JMM/AMS Special Session on Foundations of Data Science: Mathematical Representation, Computational Modeling, and Statistical Inference ==
 
== [[SOCR_News | SOCR News & Events]]: 2021 JMM/AMS Special Session on Foundations of Data Science: Mathematical Representation, Computational Modeling, and Statistical Inference ==
  
[[Image:BigData_AMS_JMM_2014.gif|250px|thumbnail|right| [jointmathematicsmeetings.org/meetings/national/jmm2021/2247_program_ss9.html 2021 JMM/AMS Foundations of Data Science Session (SS9)] ]]
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[[Image:BigData_AMS_JMM_2014.gif|250px|thumbnail|right| [https://jointmathematicsmeetings.org/meetings/national/jmm2021/2247_program_ss9.html 2021 JMM/AMS Foundations of Data Science Session (SS9)] ]]
  
 
==Overview==
 
==Overview==

Revision as of 09:14, 27 May 2020

SOCR News & Events: 2021 JMM/AMS Special Session on Foundations of Data Science: Mathematical Representation, Computational Modeling, and Statistical Inference

Overview

The volume, heterogeneity, and velocity of digital information is increasing exponentially and faster than our ability to manage, interpret and analyze it. Novel mathematical algorithms, reliable statistical techniques, and powerful computational tools are necessary to cope with the enormous proliferation of data in all aspects of human experiences. There are a number of mathematical strategies to represent, model, analyze, interpret and visualize complex, voluminous, and high-dimensional data. The talks in this session will present advanced and alternative mathematical strategies to handle difficult data science challenges using differential equations, topological embeddings, tensor-based, analytical, numerical optimization, algebraic, multiresolution, variational, probabilistic, statistical, and artificial intelligence methods. Biomedical, environmental, and imaging examples will demonstrate the applications of such mathematical techniques to longitudinal, complex-valued, complex-time indexed, and incongruent observations.


Organizer

Session Logistics

Speakers

  • To be announced in September 2020


Resources

  • Slides/papers: TBD





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