IGERT: Video Bioinformatics
IGERT: Video Bioinformatics
批准号:
0903667
负责人:
Bir Bhanu
金额:
$300.0万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2009
资助国家:
美国
项目状态:
已结题
起止时间:
2009-08-01 至 2016-12-31
中文摘要
视频生物信息学综合研究生教育和研究培训(IGERT)汇集了来自工程、信息技术和生命科学的专业知识,通过在现实生活实验中通过视频实时捕获的生命系统中连续和动态的生物过程的研究,打开了新的大门。传统上,生命系统被研究为静态图像;科学家必须推断出产生生长、疾病、愈合和死亡的过程。科学界还没有一种系统的方法来检查移动的生物图像并了解它们的动态。这个IGERT通过带来来自广泛不同背景的专家,并通过将多种成像模式与视频数据挖掘、知识发现和可视化的计算技术相结合来满足需求。每个学生都将在研究生学习的第一年之前参加一个密集的夏季研讨会。新的跨学科课程将培养下一代工程师和科学家解决新旧生物和计算问题。信息技术专业的学生将了解研究生命系统的独特需求,并开发方法来加强这些系统的研究。生命科学专业的学生将学习如何开发和应用有效的计算技术来解决动态生物问题。跨学科项目导向的团队授课课程和小组项目是重要的教育元素。该项目提供持续的指导、教学和领导机会、行业或政府实习、每周研讨会、年度务虚会以及道德和沟通技巧讲习班。该项目将积极从科学和工程领域代表性不足的群体中招收学生。该研究影响了大量需要分析海量视频数据集并需要高效、有效的信息检索方法的领域。IGERT是一项nsf范围内的计划,旨在满足教育美国博士科学家和工程师的挑战,他们具有跨学科背景,所选学科的深厚知识,以及未来职业需求所需的技术,专业和个人技能。该计划旨在通过建立创新的研究生教育和培训模式,在一个超越传统学科界限的合作研究的肥沃环境中,促进研究生教育的文化变革。
英文摘要
The Video Bioinformatics Integrative Graduate Education and Research Traineeship (IGERT) brings together expertise from engineering, information technology and life sciences to open new doors by enabling the study of continuous and dynamic biological processes in living systems that are captured live by video in real-life experiments. Traditionally, living systems have been studied as static images; scientists must infer the processes that produce growth, disease, healing, and death. The scientific community does not yet have a systematic way of examining moving biological images and understanding their dynamics. This IGERT addresses the need by bringing experts from widely divergent backgrounds and by integrating multiple imaging modalities with computational techniques for video data mining, knowledge discovery and visualization. Each student will participate in an intensive summer workshop before the first year of graduate study. A new interdisciplinary curriculum will train the next generation of engineers and scientists to solve old and new biological and computational problems. Information technology students will learn about the unique needs of studying living systems, and develop methods to enhance the study of these systems. Students in the life sciences will learn how to develop and apply effective computing techniques to dynamic biological problems. Interdisciplinary project-oriented team-taught courses and group projects are important educational elements. The program provides continuous mentoring, teaching and leadership opportunities, internship in industry or government, weekly seminars, yearly retreats, and workshops on ethics and communication skills. The program will aggressively recruit students from groups underrepresented in science and engineering. The research impacts a large number of fields where one must analyze massive video datasets and need highly efficient and effective ways to retrieve information. IGERT is an NSF-wide program intended to meet the challenges of educating U.S. Ph.D. scientists and engineers with the interdisciplinary background, deep knowledge in a chosen discipline, and the technical, professional, and personal skills needed for the career demands of the future. The program is intended to catalyze a cultural change in graduate education by establishing innovative new models for graduate education and training in a fertile environment for collaborative research that transcends traditional disciplinary boundaries.
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