SOCR News

From Socr

(Difference between revisions)
Jump to: navigation, search
(2016)
m (2019)
(45 intermediate revisions not shown)
Line 1: Line 1:
== [[SOCR_NewsEventsAnnouncements | SOCR News, Events & Announcements]] - News & [http://www.socr.umich.edu/html/feed.rss RSS Feeds]==
== [[SOCR_NewsEventsAnnouncements | SOCR News, Events & Announcements]] - News & [http://www.socr.umich.edu/html/feed.rss RSS Feeds]==
 +
 +
==2019==
 +
* October 16-17, 2019: Ivo Dinov is presenting at the [http://wiki.socr.umich.edu/index.php/SOCR_News_BrockU_Symposium_2019 BIG DATA Analytics in Health Care Session of Re-Imaging Health Symposium], Brock University, St. Catharines, ON L2S 3A1, Canada.
 +
* September 3, 2019: [http://wiki.socr.umich.edu/index.php/SOCR_News_SOCR_Fall2019_retreat SOCR Fall Retreat (12-2 PM, University of Michigan, SNB 1250)].
 +
* August 18–23, 2019: Ivo Dinov is organizing an [http://wiki.socr.umich.edu/index.php/SOCR_News_ISI_WSC_IPS35_2019 Invited Presenter Session; IPS35: Imaging Statistics and Predictive Data Analytics] at the [https://isi-web.org International Statistics Institute]’s [https://isi-web.org/index.php/activities/world-statistics-congresses 2019 World Stats Congress].
 +
* May 9, 2019, Ivo Dinov is presenting [http://wiki.socr.umich.edu/index.php/SOCR_News_ICPSR_PIBS_2019 Open Science and Data Sharing] at the [https://www.icpsr.umich.edu/icpsrweb/sumprog/courses/0279 ICPSR Rigor and Transparency to Enhance Reproducibility Workshop], University of Michigan.
 +
* April 12-13, 2019: Ivo Dinov is resenting [http://wiki.socr.umich.edu/index.php/SOCR_News_FSU_DataImpact_Symposium_2019 DataSifter: Sharing of Sensitive Data via Statistical Obfuscation] at the 2019 [https://ani.stat.fsu.edu/60th/ Statistics, the Impact of Big Data Conference, FSU, Tallahassee, FL].
 +
* March 26, 2019: Ivo Dinov is presenting [http://wiki.socr.umich.edu/index.php/SOCR_News_AA_ASA_March_2019 Challenges and Opportunities in Predictive Big Data Analytics] at the Ann Arbor Chapter of ASA.
 +
* February 23, 2019 (9:30AM - 5 PM): Alex Kalinin is organizing the 4-th annual [https://alxndrkalinin.github.io/a2-dlearn-4/ 2019 Ann Arbor Deep Learning Event (a2-dlearn4)], UM College of Engineering Francois-Xavier Bagnoud Building (1109 1320 Beal Ave., Ann Arbor, MI)
 +
* January 10 and January 15, 2019: [http://wiki.socr.umich.edu/index.php/SOCR-MDP_2019_AllHandsJumpStartMeeting 2019 SOCR-MDP All-Hands JumpStart Meeting].
 +
 +
==2018==
 +
* November 2, 2018: Ivo Dinov is presenting on [http://wiki.socr.umich.edu/index.php/SOCR_News_2018_NIAAA_SfN_SD Open Data Science and Predictive Health Analytics at the SfN 2018].
 +
* Oct 25, 2018: Ivo Dinov is presenting ''[http://socr.umich.edu/docs/uploads/2018/Dinov_DataSifter_UMich_SUMIT_2018_short.pdf DataSifter: Sharing of sensitive information via statistical obfuscation]'' ([https://www.youtube.com/watch?v=SIp81fe8IWQ Video]) at the [https://www.safecomputing.umich.edu/events/sumit/2018 14<sup>th</sup> annual cyber security conference on Security at University of Michigan IT (SUMIT)], an event for National Cybersecurity Awareness Month on the latest technical, legal, policy, and operational trends, threats, and tools in cybersecurity and privacy.
 +
* Oct 15-16, 2018: Ivo Dinov is presenting the [http://socr.umich.edu/docs/uploads/2018/CNSECCS_MIDAS_Dinov_2018.pdf Michigan Institute of Data Science: Computational Challenges and Research Opportunities] at the [https://micde.umich.edu/centers/cnseccs/symposia/ 2018 Center for Network and Storage-Enabled Collaborative Computational Science (CNSECCS) Symposium], Ann Arbor, Michigan.
 +
* Oct 12, 2018: [http://wiki.socr.umich.edu/index.php/SOCR_News_2018_MNORC_SOCR_HAC_Workshop MNORC-IBIC/SOCR/HAC Health Data Analytics Workshop].
 +
* Sept 21, 2018: Ivo Dinov is presenting [https://midas.umich.edu/event/midas-seminar-series-presents-ivo-d-dinov-phd-university-of-michigan/ ''The Enigmatic Kime: Time Complexity in Data Science''] at the [https://midas.umich.edu/seminar-series/ University of Michigan Institute for Data Science (MIDAS) Seminar Series]. [http://socr.umich.edu/docs/uploads/2018/Dinov_TCIU_Kime_MIDAS_2018.pdf Slidedeck] and [https://www.youtube.com/watch?v=yivkoU51MPM YouTube video] of this seminar.
 +
* Sept 18, 2018: [http://wiki.socr.umich.edu/index.php/SOCR_News_SOCR_Fall2018_retreat SOCR semi-annual retreat].
 +
* Sept 15, 2018: Ivo Dinov is presenting ''[http://socr.umich.edu/docs/uploads/2018/Dinov_PredictiveHealthAnalytics_2018_DCMB.pdf High-Dimensional Biomedical Data & Predictive Health Analytics]'' at the Fall 2018 [https://medicine.umich.edu/dept/computational-medicine-bioinformatics DCMB/UMich] Retreat, Frankenmuth, MI.
 +
* Sept 6, 2018: Ivo Dinov is presenting [http://socr.umich.edu/docs/uploads/2018/Dinov_PredictiveNeuroAnalytics_2018_ACNN.pdf ''Data Science & Predictive Neuro-Analytics''] at the [http://www.neurosciencenetwork.org/ACNN_Workshop_2018.html 2018 Advanced Computational Neuroscience Network (ACNN) Workshop], Case Western Reserve University, Ohio.
 +
* August 30, 2018 (11:20 AM): [https://nursing.umich.edu/about/events-calendar New School of Nursing Faculty Orientation]: Ivo Dinov will present an [http://wiki.socr.umich.edu/index.php/SOCR_Intro_UMich_Fall_2018 Introduction to SOCR].
 +
* July 26, 2018: Ivo Dinov is presenting [http://wiki.socr.umich.edu/images/0/09/Dinov_PredictiveDataAnalytics_2018_UMich_Biostats.pdf Data Science & Predictive Health Analytics] at the [https://sph.umich.edu/bdsi/about/symposium.html 2018 Symposium on Big Data, Human Health and Statistics, University of Michigan].
 +
* June 22, 218: Ivo Dinov presented the [http://neurosciencenetwork.org Advanced Computational Neuroscience Network (ACNN)] at the [https://www.bi.vt.edu/nsf-big-data-2018/schedule-joint-pi-meeting-2018 NSF BIGDATA Conference in Washington DC].
 +
* May 17, 2018, Ivo Dinov, Matt Davis and Rob Ploutz-Snyder are presenting a day-long series on ''Big Data & Health Analytics'' at the [http://nursing.umich.edu/academics/global-sexual-health-summer-institute Global Sexual Health Summer Institute]. Ivo Dinov is presenting an interactive session on [http://wiki.socr.umich.edu/index.php/SOCR_News_2018_UMSN_SummerInstitute Big Healthcare Data: Research Challenges, AI Capabilities, and Educational Opportunities].
 +
* May 11, 2018, Ivo Dinov is presenting [http://wiki.socr.umich.edu/index.php/SOCR_News_UMich_CCC_HnN_Retreat_2018 Exploratory, Confirmatory, & Predictive Big Cancer Data Analytics] at the [https://www.mcancer.org/head-and-neck-cancer/research University of Michigan Rogel Cancer Center Head and Neck Cancer Retreat].
 +
* May 04, 2018: Ivo Dinov is presenting [http://socr.umich.edu/docs/uploads/Dinov_HealthAnalytics_2018_InnovationBoard.pdf Predictive Health Analytics] at the University of Michigan Nursing Board of Science Innovation Forum.
 +
* April 25, 2018: Ivo Dinov is presenting [http://wiki.socr.umich.edu/index.php/SOCR_Intro_UMich_2018 Introduction to SOCR] at the [http://nursing.umich.edu/about/departments Health Behavior and Biological Sciences Department]
 +
* April 24, 2018: Ivo Dinov is presenting two talks at the [https://www.binghamton.edu/transdisciplinary-areas-of-excellence/data-science/ Data Science Initiative, SUNY Binghamton]: [http://socr.umich.edu/docs/uploads/MIDAS_Dinov_2018.pdf Michigan Institute of Data Science – Organization, Education Challenges and Research Opportunities] and [http://socr.umich.edu/docs/uploads/Dinov_PredictiveDataAnalytics_2018_SUNY_B.pdf Compressive Big Data Analytics (CBDA)].
 +
* April 18, 2018: SOCR semi-annual retreat
 +
 +
==2017==
 +
* Dec 08, 2017, (12 Noon ET, GMT-5) Ivo Dinov is presenting ''Big Brain Data Science & Predictive Health Analytics'' webinar at the [https://bigdatau.ini.usc.edu/data-science-seminars BD2K Guide to the Fundamentals of Data Science Series], [https://attendee.gotowebinar.com/register/7111730654574370307 Webinar ID: 932-094-291], [http://socr.umich.edu/docs/uploads/Dinov_PredictiveDataAnalytics_2017_BD2K_TCC.pdf Slides].
 +
* Nov 05, 2017, A. Sharma (Emory University), W. Hsu (UCLA), E. Siegel (University of Maryland), K. Cheng (Penn State University) and I. Dinov (University of Michigan) are organizing a half-day workshop at [https://www.amia.org/amia2017 AMIA 2017]. The title of the workshop is [https://www.amia.org/amia2017/workshops (W15) Does Integrative Data Analytics on Biomedical Imaging Bring Us Closer to Precision Medicine?], which is sponsored by the [https://www.amia.org/programs/working-groups/biomedical-imaging-informatics AMIA Biomedical Imaging Working Group], [http://www3.hilton.com/en/hotels/district-of-columbia/washington-hilton-DCAWHHH/index.html Washington Hilton, 1919 Connecticut Ave., NW, Washington, DC 20009]. Dr. Dinov's keynote lecture is on [http://socr.umich.edu/docs/uploads/Dinov_PredictiveDataAnalytics_2017_AMIA_BIWG.pdf Big Brain Data & Predictive Analytics].
 +
* Sept 8-9, 2017, Ivo Dinov presents ''Predictive Big Brain Data Analytics'' at the [http://neurosciencenetwork.org/ACNN_Workshop_2017.html 2017 Advanced Computational Neuroscience Network (ACNN) Big Data Workshop], Indiana University, Bloomington, IN.
 +
* Aug 15, 2017, Ivo Dinov is presenting a keynote lecture on [http://wiki.socr.umich.edu/index.php/SOCR_News_IBRO_INSF_Malaysia_2017#Aug_15-16.2C_2017_3rd_Malaysia_Telemedicine_Conference_.282017.29 Predictive Data Analytics] at the [http://med.monash.edu.my/campaign/telemed/index.html Malaysia Telemedicine Conference 2017] (August 15-17, 2017, Kuala Lumpur, Malaysia).
 +
* Aug 10-18, 2017: [http://www.umich.edu/~dinov/ Ivo Dinov], [http://www.med.monash.edu.au/psych/bmh/people/alex.html Alex Fornito], [https://findanexpert.unimelb.edu.au/display/person24599 Andrew Zalesky], [http://gablab.mit.edu/index.php/14-sample-data-articles/157 Satrajit Ghosh], and [https://www.researchgate.net/profile/Eric_Tatt_Wei_Ho Eric Tatt Wei Ho] are organizing a INCF/IBRO Neuroscience Summer School for graduate students and postdoctoral fellows. [http://wiki.socr.umich.edu/index.php/SOCR_News_IBRO_INSF_Malaysia_2017 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 [https://www.incf.org International Neuroinformatics Coordinating Facility (INCF)]/[http://ibro.info/ International Brain Research Organization] [http://ibro.info/events/applications-open-for-ibro-aprc-school-on-neuroinformatics-and-brain-network-analysis/ IBRO-APRC School on Neuroinformatics and Brain Network Analysis], Kuala Lumpur, Malaysia.
 +
* May 8-12, 2017: Ivo Dinov is offering a [http://www.socr.umich.edu/people/dinov/2017/Spring/PBDA_R_Bootcamp/ 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'' ([http://www.socr.umich.edu/people/dinov/2017/Spring/PBDA_R_Bootcamp/ 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 [https://support.mozilla.org/t5/Problems-with-add-ons-plugins-or/Why-do-Java-Silverlight-Adobe-Acrobat-and-other-plugins-no/ta-p/31069 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 [http://neurosciencenetwork.org/ Advance Computational Neuroscience Network (ACNN)] will give talks and present posters at the [https://www.bi.vt.edu/nsf-big-data 2017 NSF BigData Meeting] at the Omni Shoreham Hotel, Washington DC.
 +
* Mar 3, 2017: Ivo Dinov is presenting [http://socr.umich.edu/HTML5/BrainViewer Brain Visualization], [http://pipeline.loni.usc.edu High-throughput computational processing], and [http://socr.umich.edu/HTML5/SOCRAT the SOCRAT Statistical Computing Framework] at the [https://sites.google.com/a/umich.edu/brainhack-global-a2-2017/ 2017 Brainhack-Global Meet in Ann Arbor].
==2016==
==2016==
* Nov 12, 2016: Alex Kalinin is co-organizing [http://bit.ly/a2-dlearn-2016 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 12, 2016: Alex Kalinin is co-organizing [http://bit.ly/a2-dlearn-2016 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.
* 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.
-
* 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 [http://www.neurosciencenetwork.org/ACNN_Workshop_2016.html Midwest Workshop on Big Neuroscience Data, Tools, Protocols & Services], Ann Arbor, MI.
 
* In October 2016, Ivo Dinov participated in an [http://zika.smartercrowdsourcing.org/anlisis-predictivo-conference.html 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.  
* In October 2016, Ivo Dinov participated in an [http://zika.smartercrowdsourcing.org/anlisis-predictivo-conference.html 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 [http://www.neurosciencenetwork.org/ACNN_Workshop_2016.html Midwest Workshop on Big Neuroscience Data, Tools, Protocols & Services], Ann Arbor, MI.
* Aug 04, 2016 (8:30-10:30 AM): Ivo Dinov is presenting [http://www.amstat.org/meetings/jsm/2016/onlineprogram/AbstractDetails.cfm?abstractid=319094 Big, Deep, and Dark Data: Fundamentals, Research Challenges, and Opportunities], at the [http://www.amstat.org/meetings/jsm/2016/onlineprogram/ActivityDetails.cfm?SessionID=212981 Recent advances in massive imaging data analysis, Section on Statistics in Imaging], at the [http://www.amstat.org/meetings/jsm/2016/ 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''').  
* Aug 04, 2016 (8:30-10:30 AM): Ivo Dinov is presenting [http://www.amstat.org/meetings/jsm/2016/onlineprogram/AbstractDetails.cfm?abstractid=319094 Big, Deep, and Dark Data: Fundamentals, Research Challenges, and Opportunities], at the [http://www.amstat.org/meetings/jsm/2016/onlineprogram/ActivityDetails.cfm?SessionID=212981 Recent advances in massive imaging data analysis, Section on Statistics in Imaging], at the [http://www.amstat.org/meetings/jsm/2016/ 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 [http://www.pbs.org/wgbh/nova/next/body/theres-hope-for-fmri-despite-major-software-flaws/ interviewed by NOVA (WGBH/PBS)] on a [http://www.pnas.org/content/early/2016/06/27/1602413113 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.
* July 08, 2016: Ivo Dinov was [http://www.pbs.org/wgbh/nova/next/body/theres-hope-for-fmri-despite-major-software-flaws/ interviewed by NOVA (WGBH/PBS)] on a [http://www.pnas.org/content/early/2016/06/27/1602413113 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.

Revision as of 13:14, 16 May 2019

Contents

SOCR News, Events & Announcements - News & RSS Feeds

2019

2018

2017

2016

2015

2014

2013

2012

2011

2010

2009

2008

2007

2006




Translate this page:

(default)

Deutsch

Español

Français

Italiano

Português

日本語

България

الامارات العربية المتحدة

Suomi

इस भाषा में

Norge

한국어

中文

繁体中文

Русский

Nederlands

Ελληνικά

Hrvatska

Česká republika

Danmark

Polska

România

Sverige

Personal tools