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HIDSI: Catalyzing Data Science Research and Training in Hawaii

HIDSI is a virtual institute at the University of Hawaii dedicated to advancing research and training in data science, computation, and visualization. We foster collaborations with industry and government agencies, develop a cross-disciplinary curriculum, and promote innovative research in data science.

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HIDSI: Catalyzing Data Science Research and Training in Hawaii

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  1. Hawaiʻi Data Science InstituteGwen JacobsITS -Director of Cyberinfrastructuregwenj@hawaii.edu

  2. HIDSI one of three virtual institutes

  3. A UH Systemwide initiative to catalyze research and training capacity in data science, computation, and visualization. AUDIENCE INDUSTRY RESEARCHERS STUDENTS Forge strategic collaborative partnerships with the industry and government agencies. Coordinate and participate in the establishment of a cross-disciplinary curriculum in data science. Promote and support cross-disciplinary research around data science.

  4. DATA SCIENCE EDUCATION • Data science education using open-source, community driven tools • Examples Wrangling, Visualization and Analysis Interaction and Authoring Sharing and Discovery

  5. Collaborative Research • AI for Oceanography • Cloud Dynamics and Machine Learning • Deep learning for Particle Physics • C-MAIKI: Microbiome • Smart Yields – data science for precision agriculture • First Hawaiian Bank – data analytics

  6. OUTREACH & INDUSTRY COLLABORATIONS • We are establishing collaborations to: • Identify industry-academia research opportunities • Partner on student internship opportunities. • Identify core competencies for workforce development

  7. Funding • $1M in seed funding • Thank you – President Lassner • and Provost Bruno! • NSF Recommended for funding: • "MRI Acquisition High Performance Computing Cluster for Data Intensive Research” PI: G. Jacobs, Co-I J. Leigh • NSF MRI CISE-CNS Proposal #7940775 • Total Award Amount: $ 973,823 • Total Period Covered: 08/01/19 – 07/31/22 • Location of the project: University of Hawai‘i • “Collaborative Proposal: Frameworks: Project Tapis: Next Generation Software for Distributed Research. • PI: Stubbs, J Co-Iʻs: G. Jacobs, M. Dahan, S. Cleveland • NSF OAC – Software Institutes • Total Award Amount: $4,000,0000 • Total Period Covered: 09/01/2019 – 8/31/24 • Location of the Project: University of Texas – Austin, University of Hawaiʻi

  8. Mahalo! • Contact us: http://datascience.hawaii.edu • Co-Directors: • Jason Leigh – leighj@hawaii.edu. lava.manoa.hawaii.edu • Gwen Jacobs – gwenj@hawaii.eduhawaii.edu/epscor

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