Big Data Health
Science Center
A University of South Carolina Excellence Initiative, the UofSC Big Data Health Science
Center (BDHSC) 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.
Recent News
Call for Abstract Submissions: Big Data Health Science Conference 2022
The 3rd Annual National Big Data Health Science Conference will be held in Columbia, SC (virtual option available) on Feb 11-12, 2022. We are seeking research and program-based abstract submissions in the areas of AI, COVID-19, EHR, social media, genomics, and geospatial data, among others. Students are encouraged to submit poster presentation abstracts. The deadline for submission is Nov 1, 2021. Visit https://www.sc-bdhs-conference.org/ for more info.
UofSC BDHSC wins NIH Award to Launch R25 Big Data Fellowship Program
The National Institute of Allergy and Infectious Diseases has awarded $1.75 million to the UofSC Big Data Health Science Center to train junior faculty to conduct infectious disease research using vast amounts of data. Through the Big Data Health Science Fellow program, the Center will provide training, mentorship and 25 percent salary support to five, one-year cohorts of early-career researchers from across the university.
2021 Pilot Project Recipients Announced
In its second year, the BDHSC Pilot Project Program awarded nearly $250,000 to 8 faculty across the UofSC system. Investigators are leading work that will use Big Data to advance our understanding of important issues related to health behavior, patient care, healthcare delivery, and population health. This year’s recipients are focusing on a range of topics including COVID-19, rural and racial disparities in maternal health care access, end-of-life care among the elderly in SC, substance use disorder, and gamified vaccine promotion.
AIDS Supplement: Harnessing Big Data to Halt HIV
BDHSC MPIs Dr. Xiaoming Li and Dr. Bankole Olatosi served as supplement editors for the AIDS special issue “Harnessing Big Data to Halt HIV”. The special issue draws attention to the power of Big Data in ending HIV. It features a wealth of BDHSC authors including; Dr. Sharon Wiessman, Dr. Xueying Yang, Shujie Chen, Dr. Banky Olatosi, Dr. Xiaoming Li, Xiaowen Sun, Dr. Jiajia Zhang, Dr. Chen Liang, Dr. Chengbo Zeng, Dr. Zhenlong Li, and Dr. Shan Qiao.
New App: Origin-Destination-Time Flow Explorer Tutorial
The ODT Flow Explorer is an interactive geospatial web portal that lets you extract, query, and visualize human mobility and worldwide population flows using billions of geotagged Tweets and Safe Graph mobility data. At the core of the explorer is an origin destination time data cube coupled with big data computer cluster to manage, query, and aggregate billions of origin destination flows at different spatial and temporal scales. This app can benefit a wide range of domains that need timely access to fine-grained human mobility records.
Second Annual Big Data Health Science Conference Held Virtually February 5-6, 2021
The second annual Big Data Health Science Conference, “Unlocking the Power of Big Data in Health: Bringing Innovation into Improved Care and Prevention” was held virtually from February 5-6, 2021. The conference hosted over 40 speakers from government, industry, and academia. It offered a combined 12 plenary sessions, 9 breakout sessions and workshops, virtual poster presentations, and other various virtual galleries.
Recent & Upcoming Events
3rd Annual National Big Data Health Science Conference
February 11-12, 2022
Cytotoxic T-Cells: Nature's Assassins or Something More?
December 15, 2021
Employing Social Media to Improve Mental Health: Pitfalls, Lessons Learned, and the Next Frontier
November 17, 2021
Deadline for Big Data Health Science Conference Abstract Submissions
November 1, 2021
Geographic Information System (GIS) Across the Biomedical Research Continuum
October 27, 2021
Integrating Simulation Modeling with Big Data in Oncology
September 22, 2021
Keynote Speakers
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.
