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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* 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: | * 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/ | + | ** [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] | ||
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Latest revision as of 16:23, 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. The Resources link at the end contains the complete papers/presentations in this session.
Organizer
- Ivo Dinov, Statistics Online Computational Resource (SOCR), University of Michigan.
Session Logistics
- Moderator: Robin Jeffries, CSU Chico
- Date/Time: Mon, 8/10/2015, 10:30 AM - 12:20 PM
- Venue: Washington State Convention Center, 800 Convention Place, Seattle, WA 98101,
- Room: Convention Center # 606 (CC-606)
- Conference: 2015 Joint Statistics Meeting (JSM), Session Program
- Equipment: Computer-projector and screen. No computer/laptop, blackboard or whiteboard in session room
- Paper Abstract Submission
- You need to first register for 2015 JSM meeting, as the abstract submission requires a JSM 2015 Registration #. Select that you are a program participant and Register Online.
- Next, start the paper abstract submission and click the Abstract Submission button at the bottom of the page. Then, select Topic-Contributed session type and Papers as a sub-type. (Abstract submission deadline is: Feb 02, 2015).
- You will need the following info to submit your abstract.
| Organizer Name (Dinov) | Organizer Email |
| Session ID#: | 211347 |
| Session Sponsor: | Section on Statistical Computing |
| Session Type: | Topic-Contributed |
Speakers and Topics
- Ivo Dinov (Michigan), Management, Modeling & Analytic Challenges of Big Biomedical Data
- Max Robinson and Gustavo Glusman, ISB ESPALIERS: A visualization method for Big Data
- Moo K. Chung (Wisconsin), The computational challenges of constructing and visualizing large-scale brain networks
- Ravi Madduri, Argonne/Chicago, Big Data Services: Globus Online, Galaxy, GridFTP
- Barzan Mozafari, Large-scale Data Intensive Systems ; Big Data ; Interactive Data Processing
Resources
- 2015 JSM Program
- Big Data Videos mp4 and mpeg
- Slides/papers:
- Dinov, Management, Modeling & Analytic Challenges of Big Biomedical Data (PDF) and PPTX/Slides
- Robinson, ESPALIERS: A visualization method for Big Data (PDF) and PPTX/Slides
- Chung, The computational challenges of constructing and visualizing large-scale brain networks (PDF)
- Madduri, Big Data Management and Analysis Using Globus Services (PDF)
- Mozafari, Large-scale Data Intensive Systems, Big Data, Interactive Data Processing (PDF) and PPTX/Slides
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