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.

过去五年来，理解复杂系统会议一直在伊利诺伊大学举行，为期四天，大约在五月的第三周举行。 2005 年，涵盖的主题将是计算复杂性和信息学。该系列的目标是汇集学术界和工业界的顶尖研究人员和科学家，促进跨学科研究活动和学科间的知识共享。 为了给参与者提供最多的知识共享和互动的机会， 会议旨在邀请一群杰出的受邀演讲者，他们将在其学科背景下介绍关键的复杂系统概念。我们鼓励与会者在演讲结束后以及白天的休息时间提出问题。与讲座同时进行的还有三场实践教程，涵盖最新的研究成果，以及每晚的海报会议，研究生将展示他们的研究成果，并有机会与该领域受人尊敬的专业人士建立联系。在这三天中，组织者还将提供有关复杂系统研究资助机会的信息，并促进跨学科提案的联系。信息学和计算复杂性领域涉及计算机科学、数学、物理学、生物学、微生物学、生物系统、心理学和法律。通过帮助弥合这些领域之间的差距，研讨会希望鼓励合作，解决这些相互关联的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提出的解决方案来解决自己的问题。此外，计算机和工程科学的专业知识将可供生物科学使用，旨在帮助改进应用程序，因为它们涉及通过数据库、分子分析和预测来帮助公众。