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Abstract The University of Washington Biomedical Informatics and Data Science research training program and the graduate program that serves as its foundation has matured and expanded significantly since its inception in 1999. UW offers a highly collaborative environment with a strong track record of interdisciplinary research initiatives, which has driven the culture and priorities of the UW BHI activities. At its core the UW program recognizes that a key characteristic of successful BHI researchers is the ability to play a leadership role in translating methods and models from the computing, information and behavioral sciences into tools and solutions for information related challenges and opportunities to improve health for individuals, communities, nationally and globally. The vision of BHI at UW is to promote research, education (and their translation into practice) to unleash the potential for electronic biomedical data and information to advance research and improve health. In that context, BHI trains future research leaders in the field with translational skills and interdisciplinary expertise across the domains of translational bioinformatics, clinical research informatics, clinical informatics, consumer health informatics and population/public health informatics. The UW training program consists of: a) a core curriculum of foundational concepts in the field that reach across the disciplines (drawing on computer science, information science, statistics and data science), b) core domain courses (biological, clinical, consumer and public health), c) methodology courses (research methods, teaching and communication), and d) individualized in-depth electives in foundational and domain areas. In the data science domain, we offer a regular and advanced data science option and a growing multidisciplinary campus-wide medical data science research initiative. To maintain its success in recruiting and fostering success for students and faculty, UW BHI proposes to continue the NLM research training program, seeking funding to support 15 trainees for the next funding cycle. As we continue to grow and evolve our program, we plan to expand our interdisciplinary research collaborations while continuing to grow the faculty body, leveraging BHI's leadership role in precision medicine, research informatics, clinical informatics and analytics/data science.
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Ontologies and software tools for describing reproducible biomodels and biosimulations
  • 批准号:
    10676068
  • 项目类别:
  • 资助金额:
    $26.59万
  • 财政年份:
    2018
  • 负责人:
    JOHN H. GENNARI
  • 依托单位:
A synthetic biology library for the Semantic Web
  • 批准号:
    7910247
  • 项目类别:
  • 资助金额:
    $10.0万
  • 财政年份:
    2010
  • 负责人:
    JOHN H. GENNARI
  • 依托单位:
A synthetic biology library for the Semantic Web
  • 批准号:
    8334022
  • 项目类别:
  • 资助金额:
    $37.95万
  • 财政年份:
    2010
  • 负责人:
    JOHN H. GENNARI
  • 依托单位:
A synthetic biology library for the Semantic Web
  • 批准号:
    8533504
  • 项目类别:
  • 资助金额:
    $8.9万
  • 财政年份:
    2010
  • 负责人:
    JOHN H. GENNARI
  • 依托单位:
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