Big Data Health Science Center

The University of South Carolina Big Data Health Science Center (BDHSC), a USC Excellence Initiative, serves as a campus-wide interdisciplinary enterprise that conducts cutting-edge research and discovery, offers professional development and academic training, and provides service to the community and industry.

Registration is now open for the BDHSC’s 6th annual Student Case Competition

The 6th Annual Big Data Health Science Student Case Competition will be held virtually between February 7th- 9th 2025, before the University of South Carolina’s National Big Data Health Science Conference, scheduled for the following weekend, February 13th-14th 2025. Applications are open until January 29th, 2025, or until all spots are filled.

The Big Data Health Science Student Case Competition is intended to provide enthusiastic teams of graduate and senior undergraduate students with the opportunity to apply their knowledge to analyzing big datasets in health care. 

Call for Abstracts: 6th National Big Data Health Science Confernece

The University of South Carolina Big Data Health Science Center invites you to submit abstracts for oral and poster presentations at the 6th National Big Data Health Science Conference, to be held February 13-14, 2025, in Columbia, SC.

Abstracts must be responsive to the theme “Unlocking the Power of Big Data in Health: Transforming Data into Actionable Intelligence.” Abstracts may be research- or program-based, regardless of presentation format.

Authors will have the option of publishing their abstract in the 2025 Conference Proceedings (with Biomedical Central, a part of Springer Nature) at no cost. The deadline for submission is November 29th, 2024, by COB.

Now Accepting Applications for the BDHSC’s 4th Annual NIH-funded T35 Summer Research Training Program

Applications for the NIH-funded program are now open to US citizens, US non-citizen nationals, and lawful permanent residents who have completed at least 1 year in their master’s or pre-dissertation doctoral programs in the physical/quantitative sciences. 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 alongside a diverse array of well-known established researchers currently conducting studies related to Big Data Health Science. 

Recent News

Annual BDHSC Retreat to be Held September 27th

The BDHSC Retreat is an annual event hosted by the BDHSC. Guests can expect to connect with USC leadership and representatives from government agencies and community partners; identify opportunities for collaboration with faculty engaged in Big Data research; and network via round table discussions and a networking luncheon. Pre-registration for this event is required.

BDHSC Featured: Big Data Health Science Center Brings Big Minds, Big Ideas

The human body is so complex that it’s estimated every person generates two terabytes of data every day. If health care experts could gather and study that data, they could pinpoint ways for people and communities to be healthier. The biggest problem — two terabytes per person is too much data. Because data will play such a large role in the future of health care, the University of South Carolina launched the Big Data Health Science Center in 2019. The center held its fifth annual Big Data Health Science Conference in February, which attracted almost 100 presenters from five countries and 269 attendees. This was the first year the conference was partially sponsored by the National Institutes of Health.

4th Cohort of R25 Big Data Health Science Faculty Fellows Announced

We’re excited to announce the 2024 R25 Fellows who will join the NIAID-funded R25 Big Data Health Science Fellow Program. As part of the BDHSC’s professional development mission, the Big Data Fellow program is designed to address these gaps and promote big data health science research at USC. Representing three different academic colleges/schools, the 2024 fellows include Pieter Baker (Assistant Professor of Epidemiology and Biostatistics), Hui Chen (Assistant Professor of Biological Sciences), Lelia Larson (Assistant Professor of Health Promotion, Education, and Behavior), Parthenia Luke (Research Assistant Professor, College of Social Work), Yuan Wang (Assistant Professor of Epidemiology and Biostatistics), and Yanfeng Xu (Assistant Professor, College of Social Work). Since 2021, a total of 20 junior faculty fellows have joined the Big Data Health Science Fellow Program. Learn more about our fellows, their mentors, and their proposed research.

The BDHSC Welcomes its 2024 Cohort for the Third Annual T35 Summer Research Training Program for Infectious Diseases

The University of South Carolina (USC) Big Data Health Science Center (BDHSC) welcomes the 2024 cohort of its third annual Big Data Health Science Summer Research Training Program for Infectious Diseases. This NIH-funded training program is designed to introduce master’s and pre-dissertation doctoral students to the challenges and excitement of data science research by providing a mentored summer research experience with the aim of inspiring trainees toward academic careers that incorporate biomedical, behavioral, and clinical research.  In addition to mentored research and formal classroom training (at no cost to the student), each student will receive funding and travel support to publish and present their research at national and local conferences. 

Recent & Upcoming Events

Vector-Borne Diseases in Colombia: Current Situation of Dengue Fever and Chagas Disease and the Potential use of Big Data in the Solution of these Problems

October 9, 2024

2025 National Big Data Health Science Conference Abstract Submission Deadline

November 29, 2024

2025 National Big Data Health Science Student Case Competition

February 7-9, 2025

6th National Big Data Health Science Conference 2024

February 13-14, 2025

Deadline to apply for T35 Training Program

February 18, 2025

Deadline to apply for R25 Emerging Scholars Training Program

March 3. 2025

Funding for this conference was made possible (in part) by R13LM014347 from the National Library of Medicine. The views expressed in written conference materials or publications and by speakers and moderators do not necessarily reflect the official policies of the Department of Health and Human Services; nor does mention by trade names, commercial practices, or organizations imply endorsement by the U.S. Government.

Julius Fridriksson, Ph.D.

Vice President for Research and Professor of Communication Sciences and Disorders, University of South Carolina

Daniela Friedman, Ph.D.

Interim Associate Dean for Research, Arnold School of Public Health, Professor and Department Chair of Health Promotion, Education, and Behavior, University of South Carolina

Romuladus Azuine, DrPH

Program Director, All of Us Research Program, NIH

Charles Chiu, M.D., Ph.D.

Professor of Laboratory Medicine and Medicine, Division of Infectious Diseases, University of California, San Francisco

Brian King, Ph.D.

Professor of Geography and International Affairs, Head of Department of Geography, Pennsylvania State University

Nicholas Kuo, Ph.D.

Research Fellow, University of New South Wales, Sydney

Banky Olatosi, Ph.D.

Associate Professor of Health Services Policy and Management, University of South Carolina

Rachel Reinitz

IBM Fellow, IBM

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.