Difference between revisions of "SOCR Events JSS 2015"

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(SOCR News & Events: 2015 JSM Special Session on Big Data: Modeling, Tools, Analytics, and Training)
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== [[SOCR_News | SOCR News & Events]]: 2015 JSM Session on '''Big Data: Modeling, Tools, Analytics, and Training''' ==
 
== [[SOCR_News | SOCR News & Events]]: 2015 JSM Session on '''Big Data: Modeling, Tools, Analytics, and Training''' ==
  
[[Image:BigData_AMS_JMM_2014.gif|250px|thumbnail|right| [http://jointmathematicsmeetings.org/meetings/national/jmm2014/2160_program_ss18.html 2014 JMM/AMS Big-Data Session] ]]
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[[Image:BigData_AMS_JMM_2014.gif|250px|thumbnail|right| [http://www.amstat.org/meetings/jsm/2015 2015 JSM Big-Data Session] ]]
  
 
==Overview==
 
==Overview==

Revision as of 13:13, 21 January 2015

SOCR News & Events: 2015 JSM Session on Big Data: Modeling, Tools, Analytics, and Training

Overview

The volume and diversity of biomedical data is exponentially increasing with Peta bytes of imaging and genetics data acquired annually. At the same time, tens-of-thousands of computational algorithms are developed and reported in the literature along with thousands of software tools and data analytic services. Experienced and novice data analysts demand intuitive, quick and platform-agnostic access to data, software tools, and infrastructure from millions of hardware devices. This explosion of information, scientific techniques, computational models, and technological advances leads to enormous challenges in data management, data interrogation, evidence-based biomedical inference, and reproducibility of findings. Novel mathematical algorithms, statistical analyses and computational tools are necessary to cope with this avalanche of data and hardware devices. This session will discuss aspects of Big Data modeling, software implementation, data analytics, high-dimensional visualization and training of skillful researchers.

Organizer

Session Logistics

Speakers

  • To be announced in Spring 2015
  • Ivo Dinov, TBD

Resources

  • Big Data Videos mp4 and mpeg
  • Slides/papers: TBD





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