Assessing and predicting health science projects and collaboration

评估和预测健康科学项目和合作

• 批准号: 470156-2014
• 负责人: Yang, Zijiang, Cynthia
• 金额: $ 1.82万
• 依托单位: York University
• 依托单位国家: 加拿大
• 项目类别: Engage Grants Program
• 财政年份: 2014
• 资助国家: 加拿大
• 起止时间: 2014-01-01 至 2015-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=563990
• 关键词: Assessing; predicting; health; science; projects

Better health starts with faster research. The collaborating company, Healthwizer provides automation software and information solutions to overcome barriers to commercialization and address pains experienced by researchers, scientists and industry champions by automating tedious processes within the life sciences research and development ecosystem, plugging institution operational gaps by integrating cost-effective automation solutions with extant offerings and synthesizing and disseminating information for healthcare, life science, research and educational institutions. This project is proposed to build an algorithm to assess quality of research and collaboration, measure researcher impact, knowledge mobilization and collaboration and predict research project success rate. It is expected that the proposed research will bring significant contributions to both performance analysis and prediction theory and real life applications. The innovation lies in two

更好的健康始于更快的研究。合作公司Healthwizer提供自动化软件和信息解决方案，以克服商业化障碍，并通过自动化生命科学研究和开发生态系统中的繁琐流程来解决研究人员，科学家和行业冠军所经历的痛苦，通过将具有成本效益的自动化解决方案与现有产品集成，并合成和传播医疗保健，生命科学，研究和教育机构。本计画旨在建立一个演算法来评估研究与合作的品质，衡量研究者的影响力、知识动员与合作，并预测研究计画的成功率。预计所提出的研究将带来重大贡献的性能分析和预测理论和真实的生活中的应用。创新在于两个