Understand Complex Systems 2005: Computa Complex /Inform

了解复杂系统 2005：Computa Complex /Inform

• 批准号: 7000686
• 负责人: ALFRED W HUBLER
• 金额: $ 1万
• 依托单位: UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN
• 依托单位国家: 美国
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-05-23 至 2006-05-22
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7000686
• 关键词: bioinformatics; computational biology; meeting /conference /symposium; travel

The Understanding Complex Systems Conference has been in held at the University of Illinois for the past five years over the course of four days approximately during the third week in May. In 2005, the topics covered will be Computational Complexity and informatics. The goal of the series is to bring together top researches and scientist in academics and industry to stimulate cross-disciplinary research activities and knowledge sharing among disciplines. To provide the most opportunities for knowledge sharing and interaction among participants, the conference is designed to feature a group of distinguished invited speakers who will introduce key complex systems concepts in the context of their discipline. Participants are encouraged to ask questions after the talks as well as during the breaks built in during the day. In parallel with the lecture sessions, there will be three hands-on tutorials which will cover the most recent research findings, as well as nightly poster sessions where graduate students will showcase their studies and have the opportunity to network with respected professionals in the field. During the three days, the organizers will also provide information about funding opportunities for complex systems research and promote linkages for interdisciplinary proposals. The fields of informatics and computational complexity are related to computer science, mathematics, physics, biology, microbiology, biological systems, psychology, and law. By helping bridge the gap among these fields, the symposium hopes to encourage collaboration in solving some of the more challenging problems these inter-related fields face. Through interaction and knowledge sharing, researchers will be able to apply solutions posed in related disciplines to solve their own problems. In addition, the expertise of the computer and engineering sciences will be accessible to biological sciences with the aim of helping improve the application as they pertain to helping the general public through database, molecular analysis, and prediction.

在5月的第三周，在过去的五年中，在过去的五年中，在伊利诺伊大学举行了理解复杂系统会议。 2005年，所涵盖的主题将是计算复杂性和信息学。该系列的目的是将学者和行业的顶级研究和科学家汇集在一起​​，以刺激学科之间的跨学科研究活动和知识共享。 为了为参与者之间的知识共享和互动提供最多的机会 会议旨在以一组杰出的邀请发言人为特色，他们将在其学科的背景下介绍关键的复杂系统概念。鼓励参与者在谈判结束后以及白天的休息期间提出问题。与演讲会议同时，将有三个动手教程，这些教程将涵盖最新的研究结果以及夜间海报会议，研究生将展示他们的学业，并有机会与该领域的受人尊敬的专业人员建立联系。在三天内，组织者还将提供有关复杂系统研究资金机会的信息，并促进跨学科建议的联系。信息学和计算复杂性领域与计算机科学，数学，物理学，生物学，微生物学，生物系统，心理学和法律有关。通过帮助弥合这些领域之间的差距，研讨会希望鼓励合作解决这些相关领域面临的一些更具挑战性的问题。通过互动和知识共享，研究人员将能够应用相关学科中提出的解决方案来解决自己的问题。此外，生物科学的计算机和工程科学的专业知识将可以使用，以帮助改善应用程序，因为它们与通过数据库，分子分析和预测一起帮助公众。