Deadline to apply for Community Scholar (c-Scholar) Training Program

Read more about the c-Scholar program at https://bigdata.sc.edu/r25-c-scholar-program/  The 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 […]

Big Data Health Science Center 2024 Retreat

Please join us for the 2024 BDHSC Annual Retreat Friday, September 27 9am-1pm (with a networking luncheon from 12-1pm) Campus Room, Capstone Building, USC Columbia Campus Connect with USC leadership and representatives from government agencies and community partners Identify opportunities for collaboration with faculty engaged in Big Data research Network via round table discussions and a […]

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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

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 Dr. Omar Cantillo-Barraza, Institute of Biology, Biology and Infectious Disease Control Laboratory, University of Antioquia October 9 | 10-11am Discovery Building Rm 331 (915 Greene St) This seminar will be conducted […]

2025 National Big Data Health Science Conference Abstract Submission Deadline

Abstract Submissions Deadline 2025 National Big Data Health Science Conference February 13-14, 2025, Columbia, SC 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 may […]

Deadline to apply for T35 Training Program

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 […]