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== [[SOCR_NewsEventsAnnouncements | SOCR News, Events & Announcements]] - News & [ RSS Feeds]==
== [[SOCR_NewsEventsAnnouncements | SOCR News, Events & Announcements]] - News & [ RSS Feeds]==
* Sept 8-9, 2017, Ivo Dinov presents ''Predictive Big Brain Data Analytics'' at the [ 2017 Advanced Computational Neuroscience Network (ACNN) Big Data Workshop], Indiana University, Bloomington, IN.
* Aug 15, 2017, Ivo Dinov is presenting a keynote lecture on [ Predictive Data Analytics] at the [ Malaysia Telemedicine Conference 2017] (August 15-17, 2017, Kuala Lumpur, Malaysia).
* Aug 10-18, 2017: [ Ivo Dinov], [ Alex Fornito], [ Andrew Zalesky], [ Satrajit Ghosh], and [ Eric Tatt Wei Ho] are organizing a INCF/IBRO Neuroscience Summer School for graduate students and postdoctoral fellows. [ Dr. Dinov will be lecturing on (1) Statistical Computing, (2) High-Throughput Processing of Big Neuroscience Data, and (3) Neuroimaging-genetics]. The Summer Neuroscience School is part of the [ International Neuroinformatics Coordinating Facility (INCF)]/[ International Brain Research Organization] [ IBRO-APRC School on Neuroinformatics and Brain Network Analysis], Kuala Lumpur, Malaysia.
* May 8-12, 2017: Ivo Dinov is offering a [ week-long Bootcamp: Predictive Big Data Analytics using R]. This deep dive into modern Big Data Analytics will take place Monday (May 8, 2017) through Friday (May 12, 2017), 8:00AM to 4:00PM, at SNB 1250, University of Michigan, 426 North Ingalls, Ann Arbor, MI. The event will also be ''streamed live'' ([ see details on the bootcamp site]). 
* March 23, 2017: FireFox 52+ will not support Java plug ins. SOCR users that are interested in continuing to access SOCR Java Applets via FireFox need to install the 32-bit version of [ FF Extended Support Release (52 ESR)].
* Mar 16-17, 2017: The principals (Rich Gonzales, Ivo Dinov, John Marcotte, Franco Pestilli, Olaf Sporns, Andrew Saykin, Dhabaleswar Panda, Xiaoyi Lu, Hari Subramoni, Satya Sahoo, Daniel Marcus, and Lei Wang) of the [ Advance Computational Neuroscience Network (ACNN)] will give talks and present posters at the [ 2017 NSF BigData Meeting] at the Omni Shoreham Hotel, Washington DC.
* Mar 3, 2017: Ivo Dinov is presenting [ Brain Visualization], [ High-throughput computational processing], and [ the SOCRAT Statistical Computing Framework] at the [ 2017 Brainhack-Global Meet in Ann Arbor].
* Nov 12, 2016: Alex Kalinin is co-organizing [ a2-dlearn 2016 – the 2nd annual Ann Arbor Deep Learning event] and will present ''Deep Learning Year in Review 2016: Computer Vision Perspective''. The goal of '''a2-dlearn 2016''' is to bring together deep learning enthusiasts, researchers and practitioners from a variety of backgrounds. Venue: 1670 Bob and Betty Beyster Building, University of Michigan, 2260 Hayward St, Ann Arbor, MI.
* Nov 01, 2016: Ivo Dinov is presenting Predictive Big Data Analytics Workshop, School of Nursing University of Michigan Analytics Seminar Series, 1:00PM, 1240 SNB.
* In October 2016, Ivo Dinov participated in an [ expert International panel including government officials of a dozen countries affected by the Zika virus]. The panel reviewed evidence and made recommendations to public officials on strategies to combat the spread of the Zika virus and the associated microcephaly in newborns.
* Sept 20-21, 2016:  Ivo Dinov, Rich Gonzales, George Alter (University of Michigan), Franco Pestilli, Olaf Sporns, Andrew Saykin (Indiana University), Dhabaleswar Panda, Khaled Hamidouche, Xiaoyi Lu, Hari Subramoni (OSU), Satya Sahoo (CWRU), Daniel Marcus (Washington University), and Lei Wang (Northwestern University) are organizing a 2-day [ Midwest Workshop on Big Neuroscience Data, Tools, Protocols & Services], Ann Arbor, MI.
* Aug 04, 2016 (8:30-10:30 AM): Ivo Dinov is presenting [ Big, Deep, and Dark Data: Fundamentals, Research Challenges, and Opportunities], at the [ Recent advances in massive imaging data analysis, Section on Statistics in Imaging], at the [ Joint Statistics Meeting (JSM)], Chicago, IL, (CC-W McCormick Place Convention Center, West Building, Session: 659, Thu, 8/4/2016, 8:30 AM - 10:20 AM, '''CC-W187b''').
* July 08, 2016: Ivo Dinov was [ interviewed by NOVA (WGBH/PBS)] on a [ recent PNAS Report identifying significant potential shortfalls of Big Data functional magnetic resonance imaging (fMRI) studies], of which there may be over 35,000 in the past quarter century. The article used 500 normal control subjects (null data) to generate 3 million simulation studies where every experiment included randomly chosen subjects, either resting state or task activation fMRI, and found false-positive discoveries (significant grouping effects where there were none) up to 70% of the simulations. Although this does not discredit any specific previously published fMRI findings, the investigations suggests the need for novel Big Data analytics methods, and scalable software tools, that can reduce the false-positive rate.
* May 19, 2016 (12:00 PM - 1:00 PM EDT): Ivo Dinov is presenting an [ AMIA Education & Training Webinar] entitled [ Predictive Big Data Analytics: Imaging-Genetics Fundamentals, Research Challenges, and Opportunities], [ PDF Slides].
* Mar 07, 2016, Ivo Dinov was [ Elected as a Member] of the [ International Statistical Institute (ISI)]. ISI is the world’s most prestigious Statistical Organization Established in 1885 as a non-profit, non-government, organization with a consultative status within the Economic and Social Council of the United Nations. The ISI organizes the [ World Statistics Congresses] every two years across the Globe.
* Jan 19, 2016, Ivo Dinov gave a lecture on ''Big, Deep, and Dark Data: Fundamentals, Research Challenges, and Opportunities'' at the [ Survey Research Center (SRC)] seminar series, Institute for Social Research, University of Michigan.

Revision as of 13:01, 4 August 2017


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