The University of South Carolina Big Data Health Science Center (BDHSC) is pleased to announce that USC faculty will now have access to a wide range of BDHSC research data repositories (RDR) for big data health science research. The current research dataset collection includes South Carolina COVID-19 cohort (S3C) data, South Carolina pregnancy cohort data, cell-phone based place visitation data, and Twitter data.
University of South Carolina Big Data Health Science Center 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. Proposals are due by 5pm on April 14, 2023. Please review the RfP for more specific details regarding eligibility, timeline, allowable costs, etc.
We are pleased to announce that registration for the 4th Annual National Big Data Health Science Conference is now open. Please visit our conference website at SC Big Data Health Science Center Conference 2023 to learn more about the two-day conference schedule, the incredible lineup of keynote speakers, opportunities for financial assistance, and other specifics.
Save the Date for the Annual Big Data Health Science Student Case Competition
We are hosting our 4th annual student case competition, a virtual event in which students compete in teams to solve an issue in healthcare using big data analytics. The 4th Annual Big Data Health Science Case Competition will be held virtually between February 3-5, 2023, ahead of the University of South Carolina’s National Big Data Health Science Conference, scheduled for February 10–11, 2023.
Researchers develop algorithm to determine when COVID-19 infection happens during pregnancy using nationwide electronic health records
Researchers from the USC Arnold School of Public Health and School of Medicine Columbia have developed an algorithm for identifying the gestational week when COVID-19 infection occurs. Published in PLOS ONE, the method leverages large amounts of data from electronic health records and enables researchers and clinicians to better understand the potential risks to both fetus and mother.
Chen Liang named Fellow of the American Medical Informatics Association
Health services policy and management assistant professor Chen Liang has been selected as a Fellow of the American Medical Informatics Association. He will be formally inducted into the fellowship at the association’s annual meeting next spring. Dr. Liang is a faculty affiliate with the USC Big Data Health Science Center and South Carolina SmartState Center for Healthcare Quality. Liang’s work involves developing and applying data science, informatics and artificial intelligence to help these populations with a focus on infectious diseases (particularly COVID-19), obstetrics and gynecology.
Call for Abstracts - 2023 Annual Big Data Health Science Conference
The Big Data Health Science Center is seeking research and program-based abstracts for oral and poster presentations responsive to its 4th annual conference theme, “Unlocking the Power of Big Data in Health: Translating Data Science into Program Development and Implementation”. Accepted abstracts will be published in conference proceedings Research and program-based abstracts in the areas of infectious diseases, AI for sensing and diagnosis, EHR, social media data, genomics analysis, geospatial research, GIS, infrastructural and capacity development, professional development, community/industry engagement, academic training, and methodological advances are desired.
Now Accepting Applications for the T35 Big Data Health Science in Infectious Diseases Summer Research Training Program
We are now accepting applications for our T35 Big Data Health Science in Infectious Diseases Summer Research Training program. The NIH-funded T35 Research Traineeship Program is designed specifically for pre-doctoral students in physical and/or quantitative sciences from across 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.
Recent & Upcoming Events
Deadline for 2023 Pilot Project Proposal Submission
April 14, 2023
National Big Data Health Science Conference 2023
February 11 – 12, 2023
Big Data Health Science Student Case Competition 2023
February 3 – 5, 2023
BDHSC Pilot Project Showcase
January 25, 2023
Learning Individualized Treatment Rules with Many Treatments
December 7, 2022
Deadline for Abstracts Submission - 2023 Annual Big Data Health Science Conference
December 12, 2022
30th President of the University of South Carolina
Associate Director for Data Science & Director of Office of Data Science Strategy, National Institutes of Health
Refilwe Nancy Phaswana-Mafayu
Director, South African Medical Research Council, University of Johannesburg Pan African Centre of Epidemics Research Extramural Unit & Professor, Epidemiology and Public Health, Faculty of Health Sciences
Assistant Professor, Division of Allergy and Infectious Disease, Department of Medicine & International Clinical Research Center, Department of Global Health, University of Washington
Cyril & Tutta Vetter Alumni Professor, Associate Dean, the Graduate School, Department of Geography & Anthropology, Louisiana State University
Professor, Department of Geography and Environmental Sustainability, University of Oklahoma
Dean, Arnold School of Public Health, Professor, Environmental Health Sciences
Valerie Rogers, MPH
Director, Government Relations, Healthcare Information and Management Systems Society (HIMSS)
Linda Jordan, MSc
Principal Analytical Consultant, SAS
Lori Scott-Sheldon, Ph.D.
Chief of Data Science and Emerging Methodologies in HIV, National Institute of Mental Health
Julius Fridriksson, Ph.D.
Professor & Vice President for Research, University of South Carolina
COVID 19 Response
The USC BDHSC has responded quickly to create a comprehensive response in the fight against COVID-19. In response to the COVID-19 pandemic, BDHSC has achieved notable results at coordinating existing research efforts and integrating dozens of fields of expertise to find solutions. To date, approximately 25 BDHSC faculty members is working on 19 different research projects. These projects are aiming to provide the framework and resources such as a state-wide data-driven system to fight COVID-19 in South Carolina, the use of social media data to help predict future pandemics and so on.
The scopes of the projects range from investigating the different ways that COVID-19 impacts people; making better predictions of COVID-19; designing telehealth services and technology innovations for the future; and engaging cutting-edge methods through artificial intelligence, data science, computational methods and statistical modeling.
NIH Grant to Develop Data-driven Strategies in Fighting COVID-19
This two-year grant will support the team’s efforts to develop a database system via REDCap and a mobile application for collating surveillance, clinical, multi-omics and geospatial data on both COVID-19 patients and health workers treating COVID-19 patients in South Carolina.
NSF Award for “Monitoring the Spatial Spread of COVID-19 through the Lens of Human Movement using Big Social Media Data”
Three members of the BDHSC have been awarded $108,717 by the National Science Foundation for their project titled “Monitoring the Spatial Spread of COVID-19 through the Lens of Human Movement using Big Social Media Data.”
Internal COVID-19 Research Grants
The UofSC Office of the Vice President for Research recently announced the recipients of its special internal funding initiative to support COVID-19 research and scholarship. BDHSC is pleased to announce that of the 42 projects funded, BDHSC faculty serve as PI for 10 projects and Co-I for 7 different projects.