Difference between revisions of "SOCR News"

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== [[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]==
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==2025==
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* August 2-7, 2025: Ivo Dinov is organizing an [[SOCR_News_ISS_JSM_2025 | Invited Special Session (#0127), ''Statistical Inference and AI Modeling of High-Dimensional Longitudinal Data'', at the 2025 Joint Statistics Meeting (JSM) in Nashville, TN]].
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* March 15-21, [https://summit.aps.org/ 2025 APS Summit], Anaheim, CA: Yueyang Shen, Yupeng Zhang, and Ivo D. Dinov are presenting on [[SOCR_News_APS_2025 |''Probabilistic Symmetry, Variable Exchangeability, and Deep Network Learning Invariance and Equivariance'' and ''Numerical and Analytical Complex-time Transformations of Longitudinal Processes and Spacekime Analytics'']].
  
 
==2024==
 
==2024==
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* September 1, 2024: Ivo Dinov is [https://regents.umich.edu/files/meetings/07-24/2024-07-IV-1.pdf appointed by the UMich Board of Regents as the Henry P. Tappan Collegiate Professor] (September 1, 2024 through August 31, 2029). The [https://bentley.umich.edu/legacy-support/um/umpresid.php second UMich President], [https://en.wikipedia.org/wiki/Henry_Philip_Tappan Dr. Henry P. Tappan] (1852-1863), was a [https://heritage.umich.edu/stories/tappans-end/ prolific writer who provided a vision for establishing the University of Michigan as a primer research intensive academic institution].
 
* August 28-30, 2024: Ivo Dinov is organizing a special session [[SOCR_News_HDDA_2024| Data Science, Artificial Intelligence, and High-Dimensional Spatiotemporal Dynamics]] at the 2024 High-Dimensional Data Analysis Conference (HDDA-13) in Singapore.
 
* August 28-30, 2024: Ivo Dinov is organizing a special session [[SOCR_News_HDDA_2024| Data Science, Artificial Intelligence, and High-Dimensional Spatiotemporal Dynamics]] at the 2024 High-Dimensional Data Analysis Conference (HDDA-13) in Singapore.
* May 29-31, 2024, Ivo Dinov and colleagues are organizing a Special Session on [[SOCR_News_AmStats_SIM_2024 |  ''Longitudinal Imaging and Biostatistical Methods'', at the 2024 American Statistical Association's Statistics in Imaging Annual Meeting]] in Indianapolis, IN.
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* July 8-10, 2024: (2024 NIGMS TWD PDO Biomedical Training Program Directors' Conference) [https://sites.udel.edu/grimesgroup/research-team/ Catherine Grimes] (Delaware) and [https://www.socr.umich.edu/people/dinov/ Ivo D. Dinov] (Michigan) are co-Chairing a [https://events.faseb.org/event/dc343624-9195-4916-96f8-234b8c15b6f0/ Special Session of the T32 Predoctoral Program PDs/PIs].
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** A SOCR Analytic Report of the [https://forms.gle/F6dQLqc6f1HV73NT8 pre-survey of NIHMS T32 Predoctoral Training Program PIs] is available in [https://socr.umich.edu/docs/uploads/2024/SOCR_NIHMS_TWD_Predoc_T32_PI_Survey_2024_Analytics.html HTML] and [https://socr.umich.edu/docs/uploads/2024/SOCR_NIHMS_TWD_Predoc_T32_PI_Survey_2024_Analytics.pdf PDF] formats.
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** [https://docs.google.com/presentation/d/1p9qfcJOSU_HN3fA7iJlBUGmutVv4zhtt/?usp=sharing&ouid=103614380037368892595&rtpof=true&sd=true Session GSlidedeck]
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* May 29-31, 2024: (ASA SMI Annual Meeting) Yueyang Shen is giving a talk on [[SOCR_News_AmStats_SIM_2024 |''Statistical Foundations of Invariance in Deep Network Learning'' ('''2024 Best Paper Award!''')]]. Ivo Dinov is presenting a short course tutorial on ''Spacekime Analytics'' and organizing a Special Session on [[SOCR_News_AmStats_SIM_2024 |  ''Longitudinal Imaging and Biostatistical Methods'', at the 2024 American Statistical Association's Statistics in Imaging Annual Meeting]] in Indianapolis, IN.
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** [https://www.socr.umich.edu/people/SOCR_Personnel_Yueyang.html Yueyang Shen] and [https://math.wisc.edu/graduate-students/ Yupeng Zhang] receive the [https://www.statsinimaging.org/smi_competitions_all/ 2024 annual '''"Theory and Methods Track" Best Student Paper Award'''] at the [https://medicine.iu.edu/biostatistics/news-events/statistical-methods-in-imaging-conference 2024 American Statistical Association (AmStat) - Statistical Methods in Imaging (SMI) Conference].
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:: This paper [https://socr.umich.edu/docs/uploads/2024/Shen_StatisticalFoundationsOfInvarianceInDNN_SMI_2024.pdf ''Statistical foundations of invariance and equivariance in deep artificial neural network learning''] was recognized as being of '''remarkable quality''' by the AmStat/SMI review committee.
 
* May 29–August 9, 2024: Announcement of the [https://globalhealthequity.umich.edu/graduate-research-internship-projects#novel-ai-techniques-for-exploring-health-equity ''SOCR Graduate Student Summer Research Internship and Training Program in Global Health Equity'']. This program is open to UMich graduate students in any discipline, including master’s, doctoral, and other professional degree programs. This program is based at the U-M Ann Arbor campus. Students will need to be available 20 hours per week from May 29–August 9, 2024. [https://globalhealthequity.umich.edu/graduate-student-summer-research-internship-training-program Application Deadline is February 16, 2024].
 
* May 29–August 9, 2024: Announcement of the [https://globalhealthequity.umich.edu/graduate-research-internship-projects#novel-ai-techniques-for-exploring-health-equity ''SOCR Graduate Student Summer Research Internship and Training Program in Global Health Equity'']. This program is open to UMich graduate students in any discipline, including master’s, doctoral, and other professional degree programs. This program is based at the U-M Ann Arbor campus. Students will need to be available 20 hours per week from May 29–August 9, 2024. [https://globalhealthequity.umich.edu/graduate-student-summer-research-internship-training-program Application Deadline is February 16, 2024].
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* May 6, 2024: [https://drive.google.com/drive/folders/1GC-IPAfNR-42mecWZq_-J0VuW3M29n8z BIDS-TP Hackathon tackling a pair of biomedical informatics, data science and artificial intelligence challenges].
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* April 25, 2024: Ivo Dinov is giving a lecture at the [https://mmcommunityprograms.med.umich.edu/umich/course/course.aspx?catId=90 2024 OLLI Lecture Series on Artificial Intelligence] (AI), [https://mmcommunityprograms.med.umich.edu/umich/course/course.aspx?C=374&pc=9&mc=90&sc=0 AI in Health – Research Promises, Education Perils and Clinical Practice Impact], [https://www.wccnet.edu/visit/room-locator/ml.php Towsley Auditorium], [https://g.page/WashtenawCC?share Washtenaw Community College], [https://wiki.socr.umich.edu/images/2/21/Dinov_OLLI_Lecture_AI_in_Health_April25_2024_Slidedeck.pdf PDF Slidedeck].
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* April 15, 2024: [[MIDAS_GDSC_Program_2024_Graduation | MIDAS GDSC Program - 2024 Graduation (MS/PhD) event]].
 
* April 4, 2024: Ivo Dinov is presenting [[SOCR_News_APS_GDS_April_2024 | ''Complex-time Representation of Repeated Measurement Longitudinal Data and Space-kime Analytics'' at the April 2024 APS Annual Meeting in Sacramento, CA]].
 
* April 4, 2024: Ivo Dinov is presenting [[SOCR_News_APS_GDS_April_2024 | ''Complex-time Representation of Repeated Measurement Longitudinal Data and Space-kime Analytics'' at the April 2024 APS Annual Meeting in Sacramento, CA]].
 
* March 3-8, 2024: Ivo Dinov is organizing an [[SOCR_News_APS_GDS_2024 | APS Special Invited Session on ''Model-based Statistical Physics, Computable Data, and Model-Free Artificial Intelligence'' at the March 2024 APS Annual Meeting in Minneapolis, MN]].
 
* March 3-8, 2024: Ivo Dinov is organizing an [[SOCR_News_APS_GDS_2024 | APS Special Invited Session on ''Model-based Statistical Physics, Computable Data, and Model-Free Artificial Intelligence'' at the March 2024 APS Annual Meeting in Minneapolis, MN]].
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* June 16-17, 2021: Ivo Dinov organized a [[SOCR_News_ISI_WSC_DSPA_Training_2021| 2021 ISI/WSC Training and Education Bootcamp on ''Data Science and Predictive Analytics (DSPA)'']], distance (virtual) event.
 
* June 16-17, 2021: Ivo Dinov organized a [[SOCR_News_ISI_WSC_DSPA_Training_2021| 2021 ISI/WSC Training and Education Bootcamp on ''Data Science and Predictive Analytics (DSPA)'']], distance (virtual) event.
 
* April 10, 2021: Ivo Dinov is presenting [[SOCR_News_APS_Ohio_Spacekime_2021| ''Data Science, Time Complexity, and Spacekime Analytics'']], at the 2021 Meeting of the American Physical Society (APS) Ohio-Region Section, remote distance event.
 
* April 10, 2021: Ivo Dinov is presenting [[SOCR_News_APS_Ohio_Spacekime_2021| ''Data Science, Time Complexity, and Spacekime Analytics'']], at the 2021 Meeting of the American Physical Society (APS) Ohio-Region Section, remote distance event.
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* March 30, 2021: Ivo Dinov was interviewed by [https://www.jerseyindie.com/philip-perry Phil Perry] for a [https://bigthink.com/hard-science/ BigThink Hard Science] article [https://bigthink.com/hard-science/spacekime-theory/ 'Spacekime theory' could speed up research and heal the rift in physics].
 
* March 19, 2021 (12PM ET, GMT-5): Ivo Dinov presented [https://socr.umich.edu/docs/uploads/2021/Dinov_OpenScience_DataSharing_UVA_Mar2021.pdf ''Big Neuroscience, Data Sharing & Predictive Health Analytics''] at the [http://innovation.lab.virginia.edu UVA Biomedical Data Science Innovation Seminar Series], [https://www.youtube.com/watch?v=qukLnbIa1qk video stream/archive].
 
* March 19, 2021 (12PM ET, GMT-5): Ivo Dinov presented [https://socr.umich.edu/docs/uploads/2021/Dinov_OpenScience_DataSharing_UVA_Mar2021.pdf ''Big Neuroscience, Data Sharing & Predictive Health Analytics''] at the [http://innovation.lab.virginia.edu UVA Biomedical Data Science Innovation Seminar Series], [https://www.youtube.com/watch?v=qukLnbIa1qk video stream/archive].
 
* March 5, 2021 (9 ET, GMT-5): Ivo Dinov presented [https://socr.umich.edu/docs/uploads/2021/Dinov_UM_Psych_Neuroimaging_2021.pdf Open Computational Neuroscience: Research, Development & Training] at the University of Michigan [https://www.umich.edu/~nii/ NII-Methods seminar series], [https://umich-health.zoom.us/j/99279105041?pwd=SFIrTFFtTlpodHZzQjhWNWhSZnpnQT09 Zoom link].
 
* March 5, 2021 (9 ET, GMT-5): Ivo Dinov presented [https://socr.umich.edu/docs/uploads/2021/Dinov_UM_Psych_Neuroimaging_2021.pdf Open Computational Neuroscience: Research, Development & Training] at the University of Michigan [https://www.umich.edu/~nii/ NII-Methods seminar series], [https://umich-health.zoom.us/j/99279105041?pwd=SFIrTFFtTlpodHZzQjhWNWhSZnpnQT09 Zoom link].

Latest revision as of 15:38, 20 October 2024

SOCR News, Events & Announcements - News & RSS Feeds

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This paper Statistical foundations of invariance and equivariance in deep artificial neural network learning was recognized as being of remarkable quality by the AmStat/SMI review committee.

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