Student Travel Support: International Workshop on Big Data in Life Sciences, Atlanta, GA, September 9, 2015

学生旅行支持：生命科学大数据国际研讨会，佐治亚州亚特兰大，2015 年 9 月 9 日

• 批准号: 1550931
• 负责人: Anantharaman Kalyanaraman
• 金额: $ 1万
• 依托单位: Washington State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-08-01 至 2016-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1550931&HistoricalAwards=false
• 关键词: Student; Travel; Support; International; Workshop

Big Data problems and challenges have become a reality in modern day computational biology and bioinformatics. The objective of this proposal is to request funds that will be used to support students and postdoctoral researchers from U.S. institutions to travel to the Association for Computing Machinery (ACM) International Workshop on Big Data in Life Sciences (BigLS), to be held on September 9, 2015 in Atlanta, GA, in conjunction with the 2015 ACM Conference on Bioinformatics, Computational Biology and Health Informatics (ACM-BCB). This travel award will help orient students and postdoctoral researchers in the emerging area of Big Data analytics in life sciences. It will create a unique opportunity for supported students to present their on-going work, network with experts and peers in the field, receive mentoring, while contributing to the workshop's technical program. It will help to prepare the future generation scientific workforce to meet the challenges of this critical area of life sciences.Funds will be used to support up to 10 students and postdoctoral researchers, working in areas at the intersection of Big Data and life sciences. Recipients of the support will be selected via a widely advertised competitive process involving the submission of a travel grant application, and review by the workshop's organizational committee. Preference will be given to women and underrepresented minority groups, first-generation college students, and undergraduate researchers. The workshop will feature peer-reviewed papers and invited talks on five key research themes that underline Big Data research in life sciences: i) scalable algorithms and techniques for Big Data analytics in molecular biology, ii) statistical and integrative approaches to Big Data biology and informatics, iii) high performance computing methods and software for Big Data biology, iv) scientific workflows and platforms for Big Data in life sciences, v) software and hardware solutions for managing Big Data in biomedical informatics. This year's special emphasis theme is on scientific workflows for Big Data analytics, including workflows design, optimization, management and execution in HPC and cloud environments.

在现代计算生物学和生物信息学中，大数据问题和挑战已经成为现实。这项提案的目的是申请资金，用于支持美国机构的学生和博士后研究人员前往计算机械协会(ACM)生命科学大数据国际研讨会(BigLS)，该研讨会将于2015年9月9日在佐治亚州亚特兰大举行，同时举行2015年ACM生物信息学、计算生物学和健康信息学会议(ACM-BCB)。这一旅行奖项将帮助指导学生和博士后研究人员在生命科学中新兴的大数据分析领域。它将为受资助的学生创造一个独特的机会，展示他们正在进行的工作，与该领域的专家和同行建立网络，接受指导，同时为研讨会的技术计划做出贡献。它将帮助培养下一代科学劳动力，以应对这一关键生命科学领域的挑战。该基金将用于支持最多10名学生和博士后研究人员，他们在大数据和生命科学的交叉领域工作。支持的接受者将通过广泛宣传的竞争程序选出，包括提交旅行补助金申请，并由研讨会组织委员会审查。优先考虑女性和代表性不足的少数群体、第一代大学生和本科生研究人员。研讨会将发表经同行评审的论文，并就强调生命科学中大数据研究的五个关键研究主题进行特邀演讲：i)分子生物学中大数据分析的可扩展算法和技术，ii)大数据生物学和信息学的统计和综合方法，iii)大数据生物学中的高性能计算方法和软件，iv)生命科学中大数据的科学工作流程和平台，v)生物医学信息学中管理大数据的软件和硬件解决方案。今年的特别强调主题是大数据分析的科学工作流，包括HPC和云环境中的工作流设计、优化、管理和执行。