Difference between revisions of "SOCR Events JSS 2015"

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==Overview==
 
==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.
+
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. The [[SOCR_Events_JSS_2015#Resources|Resources]] link at the end contains the complete papers/presentations in this session.
  
 
== Organizer==
 
== Organizer==
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==Session Logistics==
 
==Session Logistics==
−
* '''Date/Time''': TBD (session will be scheduled by JSM organizers in the period of August 8–13, 2015)
+
* '''Moderator''': Robin Jeffries, CSU Chico
 +
* '''Date/Time''': Mon, 8/10/2015, 10:30 AM - 12:20 PM
 
* '''Venue''': [http://www.wscc.com Washington State Convention Center, 800 Convention Place, Seattle, WA 98101],
 
* '''Venue''': [http://www.wscc.com Washington State Convention Center, 800 Convention Place, Seattle, WA 98101],
−
* '''Room''': TBD
+
* '''Room''': [http://www.amstat.org/meetings/jsm/2015/onlineprogram/ActivityDetails.cfm?SessionID=211347 Convention Center # 606 (CC-606)]
−
* '''Conference''': [http://www.amstat.org/meetings/jsm/2015 2015 Joint Statistics Meeting (JSM)]
+
* '''Conference''': [http://www.amstat.org/meetings/jsm/2015 2015 Joint Statistics Meeting (JSM)], [http://www.amstat.org/meetings/jsm/2015/onlineprogram/ActivityDetails.cfm?SessionID=211347 Session Program]
 
* '''Equipment''': Computer-projector and screen. No computer/laptop, blackboard or whiteboard in session room
 
* '''Equipment''': Computer-projector and screen. No computer/laptop, blackboard or whiteboard in session room
 
* [http://www.amstat.org/meetings/jsm/2015/abstracts.cfm. '''Paper Abstract Submission''']
 
* [http://www.amstat.org/meetings/jsm/2015/abstracts.cfm. '''Paper Abstract Submission''']
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{| class="wikitable" style="text-align:center; width:40%" border="1"
 
{| class="wikitable" style="text-align:center; width:40%" border="1"
 
|-
 
|-
−
| Organizer Name ('''Dinov''') || Email Address
+
| Organizer Name ('''Dinov''') || Organizer Email
 
|-
 
|-
 
| Session ID#: || 211347
 
| Session ID#: || 211347
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==Speakers and Topics==
 
==Speakers and Topics==
−
* To be finalized in Spring 2015
+
* [http://www.umich.edu/~dinov/ Ivo Dinov (Michigan)], [http://www.amstat.org/meetings/jsm/2015/onlineprogram/AbstractDetails.cfm?abstractid=315103 Management, Modeling & Analytic Challenges of Big Biomedical Data]
−
* [http://www.umich.edu/~dinov/ Ivo Dinov (Michigan)], ''TBD''
+
* [http://www.systemsbiology.org/max-robinson Max Robinson] and [http://www.systemsbiology.org/gustavo-glusman Gustavo Glusman], [http://www.systemsbiology.org ISB] [http://www.amstat.org/meetings/jsm/2015/onlineprogram/AbstractDetails.cfm?abstractid=316111 ESPALIERS: A visualization method for Big Data]
−
* [http://www.loni.usc.edu/about_loni/people/indiv_detail.php?people_id=220 Jack Van Horn (USC)] ''Training in Big Data, Neuroimaging and Informatics''
+
* [http://www.stat.wisc.edu/~mchung Moo K. Chung (Wisconsin)], [http://www.amstat.org/meetings/jsm/2015/onlineprogram/AbstractDetails.cfm?abstractid=316263 The computational challenges of constructing and visualizing large-scale brain networks]
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* [http://www.stat.wisc.edu/~mchung Moo K. Chung (Wisconsin)], ''Computational Neuroscience: Quantification of Structure and Function using Large and Heterogeneous Datasets''
+
* [http://www.mcs.anl.gov/person/ravi-madduri Ravi Madduri, Argonne/Chicago], [http://www.amstat.org/meetings/jsm/2015/onlineprogram/AbstractDetails.cfm?abstractid=316326 Big Data Services: Globus Online, Galaxy, GridFTP]
−
* TBD
+
* [http://web.eecs.umich.edu/~mozafari/ Barzan Mozafari], [http://www.amstat.org/meetings/jsm/2015/onlineprogram/AbstractDetails.cfm?abstractid=317690 Large-scale Data Intensive Systems ; Big Data ; Interactive Data Processing]
  
 
==Resources==
 
==Resources==
 
* [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]
−
* Slides/papers: TBD
+
* Slides/papers:
−
 
+
** [http://wiki.socr.umich.edu/images/2/26/Dinov_BigDataChallenges_JSM_2015.pdf Dinov, Management, Modeling & Analytic Challenges of Big Biomedical Data (PDF)] and [http://www.socr.umich.edu/docs/uploads/Dinov_BigDataChallenges_JSM_2015.pptx PPTX/Slides]
 +
** [http://wiki.socr.umich.edu/images/3/37/Robinson_JSM2015_Espaliers.pdf Robinson, ESPALIERS: A visualization method for Big Data (PDF)] and [http://www.socr.umich.edu/docs/uploads/JSM2015-Espaliers.pptx PPTX/Slides]
 +
** [http://wiki.socr.umich.edu/images/0/03/Chung_TwinStudy-JSM-2015.08.06-re.pdf Chung, The computational challenges of constructing and visualizing large-scale brain networks (PDF)]
 +
** [http://wiki.socr.umich.edu/images/d/da/Madduri_JSM_2015.pdf Madduri, Big Data Management and Analysis Using Globus Services (PDF)]
 +
** [http://wiki.socr.umich.edu/images/2/23/Mozafari_JSM_Aug2015.pdf Mozafari, Large-scale Data Intensive Systems, Big Data, Interactive Data Processing (PDF)] and [http://www.socr.umich.edu/docs/uploads/Mozafari_JSM_Aug2015.pptx PPTX/Slides]
  
 
<hr>
 
<hr>
 
{{translate|pageName=http://wiki.socr.umich.edu/index.php?title=SOCR_Events_JSS_2015}}
 
{{translate|pageName=http://wiki.socr.umich.edu/index.php?title=SOCR_Events_JSS_2015}}

Latest revision as of 16:23, 7 August 2015

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

2015 JSM Big-Data Session

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. The Resources link at the end contains the complete papers/presentations in this session.

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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