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X-WR-CALNAME:USC Big Data Health Science Center
X-ORIGINAL-URL:https://bigdata.sc.edu
X-WR-CALDESC:Events for USC Big Data Health Science Center
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DTSTART:20230101T000000
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DTSTART;VALUE=DATE:20240731
DTEND;VALUE=DATE:20240802
DTSTAMP:20260516T011931
CREATED:20240702T182150Z
LAST-MODIFIED:20240702T182150Z
UID:8511-1722384000-1722556799@bigdata.sc.edu
SUMMARY:NSF ACCESS HPC Monthly Workshop on “Machine Learning and Big Data”
DESCRIPTION:The USC Research Computing\, Division of Information Technology\, and Big Data Health Science Center will host a remote site for the NSF ACCESS NSF ACCESS HPC Monthly Workshop on “Machine Learning and Big Data” presented by the Pittsburgh Supercomputing Center.  The workshop will be held on July 31 and August 1\, 2024\, from 11 a.m. to 5 p.m. in Room 1400 of the Innovation Center Building\, 550 Assembly Street\, Columbia\, SC 29201. This will be an in-person event hosted by various satellite sites; there WILL NOT be a direct-to-desktop option for this event. \nThis workshop will focus on topics including big data analytics\, machine learning using Spark\, and deep learning using Tensorflow. \nThe deadline to register for this event is July 26\, 2024. Interested applicants must first set up an access ID. For instructions on how to set up your ACCESS ID and register for this workshop\, please visit the “HPC Monthly Workshop: Machine Learning and Big Data” webpage at https://www.psc.edu/resources/training/hpc-workshop-big-data-july-2024/.
URL:https://bigdata.sc.edu/event/nsf-access-hpc-monthly-workshop-on-machine-learning-and-big-data/
LOCATION:Innovation Center Building Room 1400\, 550 Assembly Street\, Columbia\, SC\, 29201\, United States
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DTSTART;TZID=UTC:20240823T080000
DTEND;TZID=UTC:20240823T170000
DTSTAMP:20260516T011931
CREATED:20240731T174147Z
LAST-MODIFIED:20240731T174147Z
UID:8593-1724400000-1724432400@bigdata.sc.edu
SUMMARY:Deadline to apply for Community Scholar (c-Scholar) Training Program
DESCRIPTION:Read more about the c-Scholar program at https://bigdata.sc.edu/r25-c-scholar-program/  \nThe NIH Strategic Plan for Data Science suggests that a Big Data approach will uniquely advance our understanding of disease prevention\, identification\, control\, and treatment in the coming decades and will be a key to reducing national and global health disparities. Despite rapidly increased efforts in the application of Big Data and advanced data analytics for health science research\, the progress of translating Big Data research findings to effective public health and clinical practices for improved health outcomes has been slow due to many challenges. Such challenges include the limited participation of community members in Big Data health science research and a lack of effective communication between data science researchers and communities. As a multi-stakeholder effort\, health data science crosses boundaries between research and practice\, as well as between science and health policy. The involvement of and communication with members of local communities is critical to actualizing the benefits of data science research. \nTo address this critical need for community involvement in Big Data health science research\, we offer data science training and mentored hands-on research experience to a group of community scholars through the R25 Community Scholar (“c-Scholar”) program. Guided by a citizen science model\, the c-Scholar program provides structured support to four community scholars from various governmental and community organizations in South Carolina each year. Specifically\, the R25 c-Scholar program (1) identifies and recruits community members interested in participating in Big Data infectious disease research and utilizing Big Data research findings to improve the health outcomes of their communities; (2) implements a multi-module training program that provides mentoring\, curriculum-based training\, and hands-on research experience to better equip c-Scholars with necessary knowledge\, skills\, and competence for Big Data infectious disease research; and (3) trains and supports c-Scholars to promote and utilize Big Data research in their communities by developing or improving their necessary professional skills (e.g.\, health communication\, presentation of scientific findings to the public\, community outreach and engagement). \nInterested individuals should attach their resume or CV to an email expressing their interest in the program and their desire to promote and utilize Big Data infectious disease research in their community to Dr. Banky Olatosi (olatosi@mailbox.sc.edu) by close of business on August 23\, 2024. \nThe R25 Executive Committee will evaluate all applications and contact finalists for additional documentation\, including a letter from their employer or supervisor stating their approval and agreement for the applicant to participate in this one-year program. \nImportant Dates (subject to change)\nApplication deadline: August 23\, 2024\nSelection of finalists: September 2\, 2024\nFormal acceptance of offer and submission of follow up documentation: September 9\, 2024\nProgram start: October 8\, 2024
URL:https://bigdata.sc.edu/event/deadline-to-apply-for-community-scholar-c-scholar-training-program/
CATEGORIES:Request for Proposal,Training
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