Research Projects

One Health data workshop Open source and community based problem solving

The One Health Codeathon at USF* serves to bring together a diverse set researchers and clinicians, including students, faculty, and postdocs, for an intense 3-day data science focused hackathon. Transdisciplinary teams will integrate their skillsets in order to solve emerging problems related to human and environmental health in a global setting.

Why data sciences for One Health?

Each team consisting of specialists in data sciences, microbiomes, health and social sciences — will work to uncover microbiome interactions across the globe by integrating genetics, genomics, clinical data, and geosocial sciences.Teams will work on projects synergistically to answer questions related to the microbiome such as:
• Can we track human migratory history with the patterns of microbiome evolution? (e.g. GIS mapping of temporal omics data)
• Are human geographical differences reflected in microbiota differentiations and adaptations? (e.g. mining patterns such as human nutrition and evolution)
• Is there a diaspora microbiota unifying human social and culture entities? (e.g. uncovering the many “human dimensions” of human health (e.g., public policy, culture, race, history, migration)

How can you join

·     Make sure to review and respect the Code Of Conduct of One Health data workshop on host-microbiome interactions.

·     Admin and logistics contact at USF Genomics:
·     Organization and technical contact with Rays Jiang: Jiang2 @ usf . edu    

Program at-a-glance

The 3-day codeathon will begin the morning of Wednesday, February 26th with a series of talks regarding the event, its purpose, and the significance of the problems being investigated. Teams will initiate work on their projects following the talks Wednesday afternoon and will have the entirety of Thursday along with Friday morning to complete their work. Friday afternoon, each team will present their work and an award will be given based on the evaluations of an external review panel.