SOCR Events JSS 2015

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== Organizer==
== Organizer==
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* [http://www.umich.edu/~dinov Ivo Dinov], [http://www.SOCR.umich.edu Statistics Online Computational Resource (SOCR)], University of Michigan.
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* [http://www.umich.edu/~dinov Ivo Dinov], [http://www.SOCR.umich.edu Statistics Online Computational Resource (SOCR)], UCLA and University of Michigan.
==Session Logistics==
==Session Logistics==
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* [http://www.amstat.org/meetings/jsm/2015/onlineprogram/index.cfm 2015 JSM Program]
* [http://www.amstat.org/meetings/jsm/2015/onlineprogram/index.cfm 2015 JSM Program]
* Big Data Videos [http://socr.ucla.edu/docs/videos/BigData_AMS_JMM_2014.mp4 mp4] and [http://socr.ucla.edu/docs/videos/BigData_AMS_JMM_2014.mpg mpeg]
* Big Data Videos [http://socr.ucla.edu/docs/videos/BigData_AMS_JMM_2014.mp4 mp4] and [http://socr.ucla.edu/docs/videos/BigData_AMS_JMM_2014.mpg mpeg]
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* Slides/papers: TBD
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* [http://wiki.socr.umich.edu/index.php/SOCR_Events_JSS_2015#Resources Slides/Papers].
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{{translate|pageName=http://wiki.stat.ucla.edu/socr/index.php?title=SOCR_Events_JSS_2015}}

Current revision as of 16:30, 7 August 2015

Contents

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

Organizer Name (Dinov) Organizer Email
Session ID#: 211347
Session Sponsor: Section on Statistical Computing
Session Type:Topic-Contributed

Speakers and Topics

Resources





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