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The Institute for Informatics (i 2 )

The Institute for Informatics (i 2 ). Arthur W. Toga University of California Los Angeles. Introduction. 21 st Century science and biomedicine is digital Genetic data, medical imaging, phenotypes, epidemiology Geospatial, embedded sensing, census data, etc

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The Institute for Informatics (i 2 )

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  1. The Institute for Informatics (i2) Arthur W. Toga University of California Los Angeles

  2. Introduction • 21st Century science and biomedicine is digital • Genetic data, medical imaging, phenotypes, epidemiology • Geospatial, embedded sensing, census data, etc • Digital information is fast exceeding our ability to make sense of it all • Computers are ubiquitous but most are not powerful enough to overcome the data explosion, e.g. in biomedicine • Need to actively leverage data, computation, and integrative models to drive new discovery and new paradigms • Need for a new breed of UCLA researcher: • The scientific informaticist

  3. The Institute for Informatics (i2) • The Institute for Informatics (i2) seeks to bring to bear leading informatics talent, computation, and algorithm design to the challenges of biomedicine • Seeks to provide leading example for data integration, modeling, and prediction of trends in health and disease • Built following a successful multidisciplinary model: LONI • Serve as a nexus for biomedical informatics research, scholarship, training, and service • Provide core informatics resources for UCLA funded projects and grant proposals

  4. Informatics Projects • Aims to support maximum of 3 active domains: • Biomedicine (genetics, brain imaging, medical records) • TBD • TBD • Selection for i2 and productivity = External Support • With external funding, a project with a domain rotates off and a new project/domain is selected

  5. Status (6 months) • Support of UCLA DGSOM leadership • Space in NRB is available and “shovel-ready” • Architectural/Infrastructural plans in place • Working with UCLA Capital Programs • $2 million in NIH funding in place for computational grid • Purchase to be completed in March 2010 • Private funding being pursued • Philanthropy proposal (x2) • Leading UCLA faculty engaged • Initial Projects: • Human Connectome Project (U54) • Hospital Records Informatics • ENIGMA gene SNP sharing for neuroscience meta-analyses • Biomedical Resource Discovery (U24)

  6. Conclusions • The Institute for Informatics (i2) provides leading informatics talent, infrastructure, and algorithm design to the challenges of biomedicine and beyond • Serves as a leading example for data integration, modeling, and prediction of trends in health and disease • Provides core informatics infrastructure and intellectual expertise for across a variety of scientific projects • Tightly coupled to UCLA education, research, and service

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