Brigham Young University Planning Grant: I/UCRC for Center for Visual and Decision Informatics

杨百翰大学规划资助：I/UCRC 视觉与决策信息学中心

• 批准号: 1650579
• 负责人: Christophe Giraud-Carrier
• 金额: $ 1.4万
• 依托单位: Brigham Young University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-02-01 至 2018-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1650579&HistoricalAwards=false
• 关键词: Brigham; Young; University; Planning; Grant

This award seeks to assist Brigham Young University (BYU) in joining the Center for Visual and Decision Informatics (CVDI), an existing Industry University Cooperative Research Center (IUCRC). The CVDI Center is currently made up of the University of Louisiana at Lafayette, Drexel University, and Tampere University of Technology. BYU will use this award to plan and prepare for the establishment of the new site by hosting informational meetings for potential partners about the benefits of membership in CVDI and the mechanics of the Center, attend the scheduled CVDI's Industry Advisory Board meeting in April 2017, and prepare a joint industry and university research agenda around the expertise of the site and the needs/interests of industry partners. BYU will leverage its big data capstone class, where industry partners pitch their projects to the students who then vote on their preferred projects and form groups that are mentored throughout by company personnel. Through external partners' mentoring, students are exposed to the realities of data analytics and gain experience and skills that cannot be found in a strictly academic setting. This, in turn, can prepare students for the workforce and improves their ability to be effective contributors to science and engineering.

该奖项旨在帮助杨百翰大学（BYU）加入视觉和决策信息学中心（CVDI），这是一个现有的工业大学合作研究中心（IUCRC）。CVDI中心目前由路易斯安那大学拉斐特分校、德雷克塞尔大学和坦佩雷理工大学组成。杨百翰大学将利用这一奖项来规划和准备通过主办信息会议，为潜在的合作伙伴在CVDI的成员和该中心的力学的好处，参加预定的CVDI的行业咨询委员会会议在2017年4月，并准备围绕该网站的专业知识和行业合作伙伴的需求/利益的联合行业和大学的研究议程建立新的网站。杨百翰大学将利用其大数据顶峰课程，在那里，行业合作伙伴将他们的项目推销给学生，然后学生们对他们喜欢的项目进行投票，并组成由公司人员全程指导的小组。通过外部合作伙伴的指导，学生接触到数据分析的现实，并获得在严格的学术环境中无法找到的经验和技能。反过来，这可以为学生的劳动力做好准备，并提高他们成为科学和工程有效贡献者的能力。