SOCR News AA ASA March 2019 - Revision history

Dinov: /* SOCR News & Events: Ann Arbor Chapter of the American Statistical Association (ASA) Presentation */

2019-03-23T19:02:05Z

‎SOCR News & Events: Ann Arbor Chapter of the American Statistical Association (ASA) Presentation

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Dinov: Created page with "== SOCR News & Events: Ann Arbor Chapter of the American Statistical Association (ASA) Presentation == ===''Challenges and Opportunities in Predictive Big Da..."

2019-01-02T17:12:19Z

Created page with "== SOCR News & Events: Ann Arbor Chapter of the American Statistical Association (ASA) Presentation == ===''Challenges and Opportunities in Predictive Big Da..."

New page

== [[SOCR_News | SOCR News & Events]]: Ann Arbor Chapter of the American Statistical Association (ASA) Presentation ==

===''Challenges and Opportunities in Predictive Big Data Analytics''===

===Logistics===
* '''Website''':
* '''Speaker''': Ivo D. Dinov
* '''Affiliation''': Statistics Online Computational Resource, Health Behavior and Biological Sciences, Computational Medicine and Bioinformatics, Michigan Institute for Data Science, University of Michigan

===Abstract===
New technologies and rapid advances in data science lead to effective information digitalizalization and quantization of all aspects of human experiences. The wave of complex, multisource, multiscale, heterogeneous, incomplete, and time-varying data presents difficult challenges, as well as offers unique opportunities, to deeply explore a wide gamut of natural processes. Using specific biomedical and healthcare case-studies, we will demonstrate approaches for data wrangling, aggregation, secure sharing, model-based and model-free inference, and predictive analytics. More information, slides, code, datasets, publications, learning modules, and instructional materials are available on the website of the [http://SOCR.umich.edu Statistics Online Computational Resource].

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* SOCR Home page: http://www.socr.umich.edu

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← Older revision		Revision as of 19:02, 23 March 2019
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	===Abstract===		===Abstract===
	New technologies and rapid advances in data science lead to effective information digitalizalization and quantization of all aspects of human experiences. The wave of complex, multisource, multiscale, heterogeneous, incomplete, and time-varying data presents difficult challenges, as well as offers unique opportunities, to deeply explore a wide gamut of natural processes. Using specific biomedical and healthcare case-studies, we will demonstrate approaches for data wrangling, aggregation, secure sharing, model-based and model-free inference, and predictive analytics. More information, slides, code, datasets, publications, learning modules, and instructional materials are available on the website of the [http://SOCR.umich.edu Statistics Online Computational Resource].		New technologies and rapid advances in data science lead to effective information digitalizalization and quantization of all aspects of human experiences. The wave of complex, multisource, multiscale, heterogeneous, incomplete, and time-varying data presents difficult challenges, as well as offers unique opportunities, to deeply explore a wide gamut of natural processes. Using specific biomedical and healthcare case-studies, we will demonstrate approaches for data wrangling, aggregation, secure sharing, model-based and model-free inference, and predictive analytics. More information, slides, code, datasets, publications, learning modules, and instructional materials are available on the website of the [http://SOCR.umich.edu Statistics Online Computational Resource].
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		+	===[http://socr.umich.edu/docs/uploads/2019/Dinov_PredictiveBigDataAnalytics_AA_ASA_March_2019.pdf Slides (PDF)]===

@@ Line 5: / Line 5: @@
 ===Logistics===
 * '''Website''': http://wiki.socr.umich.edu/index.php/SOCR_News_AA_ASA_March_2019
-* '''Speaker''': Ivo D. Dinov
+* '''Speaker''': [http://www.socr.umich.edu/people/dinov/ Ivo D. Dinov]
-* '''Affiliation''': Statistics Online Computational Resource, Health Behavior and Biological Sciences, Computational Medicine and Bioinformatics, Michigan Institute for Data Science, University of Michigan
+* '''Affiliation''': [http://www.socr.umich.edu/index.html Statistics Online Computational Resource], Health Behavior and Biological Sciences, Computational Medicine and Bioinformatics, [http://midas.umich.edu/ Michigan Institute for Data Science], University of Michigan
 * '''Place''': [https://sph.umich.edu/ TBD (SPH/UMich)]
 * '''Time''': 6:30-8:00 PM

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 * '''Place''': [https://sph.umich.edu/ TBD (SPH/UMich)]
 * '''Time''': 6:30-8:00 PM
 ===Abstract===