Student Travel Support: ACM International Workshop on Big Data in Life Sciences, Seattle, WA, October 2, 2016

学生旅行支持：ACM 国际生命科学大数据研讨会，华盛顿州西雅图，2016 年 10 月 2 日

• 批准号: 1638757
• 负责人: Jaroslaw Zola
• 金额: $ 1万
• 依托单位: SUNY at Buffalo
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-07-01 至 2017-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1638757&HistoricalAwards=false
• 关键词: Student; Travel; Support; ACM; International

The ACM International Workshop on Big Data in Life Sciences (BigLS) is a workshop series focusing on computational and data challenges in broadly defined life sciences. The workshop was initiated in 2013, and it is hosted together with the ACM Conference on Bioinformatics, Computational Biology and Health Informatics - the flagship conference of the Association for Computing Machinery Special Interest Group on Bioinformatics, Computational Biology, and Biomedical Informatics (SIGBio). The workshop brings together leading researchers and practitioners working on a diverse range of big data problems relating to biology and medicine, and engages them in a discussion about current big data questions, the state of computational tools and analytics, the challenges and the future trends within life sciences.This project will support up to ten students and postdoctoral researchers from US academic institutions to attend BigLS 2016 to be held on October 2, 2016 in Seattle, WA. Awardees will be selected via a widely advertised competitive process involving the submission of a travel grant application, and review by the program committee. Preference will be given to women and underrepresented minority groups, first-generation college students, and undergraduate researchers.Big data problems and challenges have become a reality in modern day computational biology, bioinformatics and biomedical informatics. The workshop will feature peer-reviewed papers and invited talks on five key research themes that underline big data research in life sciences: 1) scalable algorithms and techniques for big data analytics in molecular biology; 2) statistical and integrative approaches to big data biology; 3) emerging machine learning and AI techniques for big data biology; 4) high performance computing methods and software for big data biology; 5) software and hardware foundations for managing big data in biomedical informatics.

ACM关于生命科学大数据（BIGLS）的国际国际研讨会是一个研讨会系列，重点介绍了广泛定义的生命科学的计算和数据挑战。该研讨会于2013年启动，并与ACM生物信息学，计算生物学和健康信息学 - 计算机机械协会旗舰会议有关生物信息信息，计算生物学和生物医学信息学（Sigbio）的旗舰旗舰会议（Sigbio）。该研讨会汇集了研究与生物学和医学有关的各种大数据问题的领先研究人员和从业人员，并参与了有关当前大数据问题，计算工具和分析状态，生活科学领域的挑战和未来趋势的讨论。该项目将在我们的学术机构中提供十名学生和学术界的席位。获奖者将通过广泛宣传的竞争过程选择，涉及提交旅行赠款申请，并由计划委员会审查。将偏爱妇女和代表性不足的少数群体，第一代大学生以及本科研究人员。数据问题和挑战已成为现代计算生物学，生物信息学和生物医学信息学的现实。该研讨会将以同行评审的论文为特色，并邀请有关五个关键研究主题的演讲，这些研究主题强调了生命科学的大数据研究：1）可扩展的算法和分子生物学大数据分析的技术； 2）大数据生物学的统计和综合方法； 3）新兴的机器学习和大数据生物学的AI技术； 4）大数据生物学的高性能计算方法和软件； 5）用于管理生物医学信息学中的大数据的软件和硬件基础。