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X-ORIGINAL-URL:https://bigdata.sc.edu
X-WR-CALDESC:Events for USC Big Data Health Science Center
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DTSTART:20220101T000000
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BEGIN:VEVENT
DTSTART;TZID=UTC:20250901T170000
DTEND;TZID=UTC:20250901T170000
DTSTAMP:20260522T221605
CREATED:20250729T170003Z
LAST-MODIFIED:20250825T195026Z
UID:9051-1756746000-1756746000@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 September 15th\, 2025. \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.
URL:https://bigdata.sc.edu/event/deadline-to-apply-for-community-scholar-c-scholar-training-program-2/
CATEGORIES:Request for Proposal,Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20240823T080000
DTEND;TZID=UTC:20240823T170000
DTSTAMP:20260522T221605
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
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20230414
DTEND;VALUE=DATE:20230415
DTSTAMP:20260522T221605
CREATED:20230111T013540Z
LAST-MODIFIED:20230301T134426Z
UID:5767-1681430400-1681516799@bigdata.sc.edu
SUMMARY:Deadline for 2023 Pilot Project Proposals
DESCRIPTION:University of South Carolina Big Data Health Science Center (BDHSC) is seeking proposals for the conduct and uptake of pilot research projects focusing on the Big Data analytics in addressing critical issues related to health behavior\, healthcare\, and population health. \nThe purpose of this RFP is to invite pilot project applications on the utilization of Big Data analytics in health-related research. The primary goals of this pilot project program will be to promote interdisciplinary collaboration in Big Data health science research and support meritorious applications that can leverage existing data to address critical issues related to health behavior\, clinical care\, healthcare delivery\, and population health. Interdisciplinary research that involves linking and integrating data sets from multiple sources are particularly encouraged. Existing data may include\, but are not limited to electronic health records data\, social media data\, geospatial data\, genomic data\, or artificial intelligence for sensing and diagnosis. To get more information\, please check out the full 2023 Pilot Project RFP here. \nFor questions regarding this RFP and proposal submission\, please contact Ms. Miranda Nixon at mc95@mailbox.sc.edu; 803-777-5027.
URL:https://bigdata.sc.edu/event/deadline-for-2023-pilot-project-proposals/
CATEGORIES:Request for Proposal
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