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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:20260407T172347
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:20250303T233000
DTEND;TZID=UTC:20250303T233000
DTSTAMP:20260407T172347
CREATED:20241014T195721Z
LAST-MODIFIED:20241014T195957Z
UID:8750-1741044600-1741044600@bigdata.sc.edu
SUMMARY:Deadline to apply for R25 Emerging Scholars Training Program
DESCRIPTION:Are you interested in gaining hands-on experience in data science and infectious disease research? The NIH-funded R25 Big Data Analytics Emerging Scholar (e-Scholar) Training Program offers underrepresented undergraduate students the opportunity to build valuable skills and work alongside faculty members on cutting-edge research projects over the course of a year-long training program.  \nBenefits of the Program:  \n\n\n\nFully Funded Summer Institute: Campus housing and a $1\,790 stipend provided for a 6-week in-person training camp at the USC Columbia campus\, so you can focus on learning and making the most of the experience!  \n\n\n\n\n$3\,000 Research Stipend: Earn $1\,500 per semester. \n\n\n\n\nConference Travel Support: Up to $1\,500 to attend and present at a regional or national conference. \n\n\n\n\nInterdisciplinary Mentoring: Receive one-on-one guidance from experienced researchers and career mentors. \n\n\n\n\nHands-on Research Experience: Participate in a year-long project focused on Big Data and infectious disease research. \n\n\n\n\nNetworking Opportunities: Connect with professionals\, attend retreats\, and present your work at the program’s graduation retreat. \n\n\n\n  \nProgram Overview:\nThis NIAID-funded program recruits up to 12 undergraduate students each year from institutions across South Carolina such as USC\, Clemson\, College of Charleston\, South Carolina State University\, Claflin University\, and Benedict College. Students from other SC institutions are also encouraged to apply. Participants will focus on data science research in areas like HIV\, COVID-19\, and other infectious diseases and gain valuable skills in data analytics and research methods. The program will provide students with interdisciplinary mentoring (including team and peer mentoring)\, comprehensive curriculum-based training\, and hands-on research exposure and experience.  \nThis year-long training program includes a 6-week\, full-time\, in-person summer training institute held on the USC Columbia campus. After completion of the summer institute\, students will continue their training under the guidance of faculty mentors\, work with established research scientists on Big Data related infectious disease studies\, gain research and professional development experience\, and develop confidence in pursuing a postgraduate program or career in Big Data-focused infectious disease research. \nThis program is designed to create a more diverse research community across South Carolina. It encourages undergraduate students who are underrepresented in the biomedical sciences to pursue data science research focused on preventing\, treating\, and understanding diseases like HIV\, COVID-19\, and other infections\, as well as immune and allergy-related conditions.  \nAll R25 trainees must meet the following eligibility criteria: \n\nBe enrolled at a university/college in South Carolina;\nBe an undergraduate student from any discipline with an expected graduation date after May 2026;\nHave a minimum cumulative GPA of 3.0 or higher and have completed at least on year of college by May 2025;\nIdentify as an underrepresented minority or a disabled or disadvantaged individual as defined by the NIH;\nHave an academic advisor at your home institution;\nBe a US citizen or permanent resident; and\nBe at least 18 years old.\n\n  \nHow to apply:\nStudents interested in the R25 e-Scholar program should complete an application via the application portal by 11:59pm on March 3\, 2025. The application will request additional supplemental information including: \n1. A personal statement (max 2 pages double spaced) describing their interest in data science infectious disease research and their career and educational goals;\n2. A recent resume or curriculum vitae;\n3. A letter of support from their home school/academic advisor (on official university letterhead); and\n4. A copy of their unofficial transcript. \nApplications should be submitted via the application portal by 11:59pm on March 3\, 2025.  \n 
URL:https://bigdata.sc.edu/event/deadline-to-apply-for-r25-emerging-scholars-training-program/
CATEGORIES:Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20250218T170000
DTEND;TZID=UTC:20250218T170000
DTSTAMP:20260407T172347
CREATED:20241014T200515Z
LAST-MODIFIED:20241014T200553Z
UID:8758-1739898000-1739898000@bigdata.sc.edu
SUMMARY:Deadline to apply for T35 Training Program
DESCRIPTION:The NIH-funded T35 Research Traineeship Program is designed specifically for master’s and pre-dissertation doctoral students in physical and/or quantitative sciences from across South Carolina and the United States.  This is an 11-week\, full-time intensive course-based training program to work alongside established clinical scientists on one or more Big Data Health-related studies. In addition to formal classroom training (at no cost to the student)\, each student will receive accommodations and a stipend to be involved in a specific research project\, actively participating in a hands-on manner in a research laboratory currently conducting studies related to Big Data Health Science. As you prepare for a career in Big Data Science\, you can learn about research that involves Big Data and work alongside well-known established researchers in a full-time\, hands-on setting. For commonly asked questions\, feel free to visit our Q&A page. \nProgram Overview:\nThe University of South Carolina Big Data Health Science Center is requesting applications from master’s and pre-dissertation doctoral students for a 3-month\, full-time (40 hours per week) program to work alongside established clinical scientists on one or more Big Data Health-related studies. Each student trainee will be involved in a specific research project\, actively participating in a hands-on manner in a research laboratory currently conducting studies related to Big Data Health Science.  Investigators\, laboratories\, and brief descriptions of areas of research are provided in the T35 mentor page. \nStudents will be matched with a mentor according to the students’ interests and mentor availability.  In addition\, each trainee will receive formal classroom training (at no expense to the trainee)\, participate in discussions on responsible conduct in research\, participate in a specifically designed T35 seminar series presented by many of the T35 preceptors\, attend journal groups\, attend campus-wide activities of interest as part of their training experience\, and will have opportunities to present their work. \nThis is an excellent opportunity for students to obtain training and significant exposure to research in an active laboratory conducting research related to ongoing NIAID-funded Big Data research projects that utilize 1 or more of 5 large existing data sources. \nEligibility:\nThis program is for masters or pre-dissertation doctoral students  in physical and/or quantitative sciences. Students participate full time for 3 consecutive months.  The preferred time period is from mid-May through mid-August. The following is a full list of eligibility requirements: \n\nMust be a full-time masters or pre-dissertation graduate student from a quantitative or physical science department with a minimum GPA of 3.5\nMust have completed at least one year (two semesters) of study before the summer training begins\nMust express interest in exploring independent research in Big Data in infectious disease and/or healthcare\nMust receive a formal agreement from home department/school for summer release to attend the training\nMust commit to the 3-month formal 40-hours-per-week training engagement in the T35 program\nMust commit to submitting a publishable manuscript in an area of Big Data infectious disease research no later than one year after the summer training\nMust be a U.S. citizen or permanent resident (per NIH rules)\n\nBenefits: \n\nA stipend up to $2\,068 for each of the three months that they participate in the program (up to $6\,204 total)\nSupport to travel to campus (See Travel Reimbursement Policy linked here)\nUp to $1\,000 of travel support per trainee to present their research at national and local conferences\nSupport for health insurance (if uninsured)\, tuition\, and subject fees\nHousing will be provided during the training period\nFunding to publish a manuscript\nUp to $200 funding for necessary computing software\nInvitation to present on your experience to NIH program officers at our annual Big Data Health Science Conference (in early February)\nMatched with a mentor\nParticipation in a funded Big Data research project\nThe opportunity to network with influential people in Big Data Science\n\n  \nIf you would like to apply\, please: \n\nDiscuss your interest in participation in this program with your faculty advisor.\nCorrespond via email with Dr. Bankole Olatosi and Ms. Audrey Auen\, indicating an interest in applying for the program.\nComplete the application form and required documents (details below).\n\nThe following is a list of required documents to submit online alongside your application: \n\nAn essay (1-2 pages) describing your research interests and career objectives. This will help us get you started on a project that interests you and match you with the right mentors to help\nAn up-to-date curriculum vitae\nA letter from the home school/department advisor (secondary mentor) confirming the home institutional support for you to participate in the T35 program as a trainee.\nA personal statement describing your future professional goals and how this experience will contribute to your future goals. (Please limit to 1 page)\n\n  \nFor questions about the application process or the T35 experience\, please visit our Q&A page or contact Dr. Banky Olatosi at olatosi@mailbox.sc.edu or Ms. Audrey Auen at akkuhn@email.sc.edu \nAll application materials must be received by February 18\, 2025\nTraineeship offers will be awarded on March 6\, 2025 \n 
URL:https://bigdata.sc.edu/event/deadline-to-apply-for-t35-training-program/
CATEGORIES:Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20240823T080000
DTEND;TZID=UTC:20240823T170000
DTSTAMP:20260407T172347
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:20240314
DTEND;VALUE=DATE:20240315
DTSTAMP:20260407T172347
CREATED:20240206T200522Z
LAST-MODIFIED:20240206T200522Z
UID:7353-1710374400-1710460799@bigdata.sc.edu
SUMMARY:Deadline for Big Data Health Science Fellow Program
DESCRIPTION:Supported by NIAID (R25AI164581-03)\, the USC Big Data Health Science Center (BDHSC) has been implementing a Big Data Health Science Fellow (“Big Data Fellow”) program since 2021. The program will recruit around 4 USC junior faculty per year and provide them with salary support (25%) to participate in the training program. Please click to see the call for applications to the 2024-2025 Big Data Health Science Fellow program. Details about program requirements\, eligibility\, and deadlines can be found in the Request for Applications. Apply by March 14\, 2024.
URL:https://bigdata.sc.edu/event/deadline-for-big-data-health-science-fellow-program/
CATEGORIES:Training
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20240301
DTEND;VALUE=DATE:20240302
DTSTAMP:20260407T172347
CREATED:20231122T202239Z
LAST-MODIFIED:20231122T202316Z
UID:7188-1709251200-1709337599@bigdata.sc.edu
SUMMARY:Deadline for Big Data Analytics Emerging Scholar Training Program for URM Undergrads in SC
DESCRIPTION:The USC Big Data Health Science Center is now accepting applications for the BDHSC’s newly funded training program\, Big Data Analytics Emerging Scholar Training Program for URM Undergrads in South Carolina (1R25AI172761-01). Please click for full details about the program\, including eligibility\, application process\, FAQ\, etc. The application deadline is March 1\, 2024.
URL:https://bigdata.sc.edu/event/deadline-for-nih-r25-e-scholar/
CATEGORIES:Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20230612T100000
DTEND;TZID=UTC:20230714T160000
DTSTAMP:20260407T172347
CREATED:20230502T160745Z
LAST-MODIFIED:20230515T122505Z
UID:6147-1686564000-1689350400@bigdata.sc.edu
SUMMARY:Summer Workshops in Bioinformatics and Data Analytics
DESCRIPTION:Please use the below form to register for the workshops.\nhttps://forms.gle/2q98LD1BKtVr9b7z9
URL:https://bigdata.sc.edu/event/summer-workshops-in-bioinformatics-and-data-analytics/
CATEGORIES:Training
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20230215
DTEND;VALUE=DATE:20230216
DTSTAMP:20260407T172347
CREATED:20221108T161241Z
LAST-MODIFIED:20221108T161241Z
UID:5173-1676419200-1676505599@bigdata.sc.edu
SUMMARY:Deadline for NIH-funded T35 Research Training Program Applications
DESCRIPTION:
URL:https://bigdata.sc.edu/event/deadline-for-nih-funded-t35-research-training-program-applications/
CATEGORIES:Training
END:VEVENT
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