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The 2017 international conference on systems biology; Virginia Tech; August 6-12, 2017

The 2017 international conference on systems biology; Virginia Tech; August 6-12, 2017
2017年系统生物学国际会议;
批准号:
1739416
负责人:
Yang Cao
金额:
$1.5万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2017
资助国家:
美国
项目状态:
已结题
起止时间:
2017-05-01 至 2017-11-30

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中文摘要
翻译
该奖项将为2017年系统生物学国际会议(ICSB)提供支持,该会议将于2017年8月6日至12日在弗吉尼亚州布莱克斯堡的弗吉尼亚理工大学Squires学生中心举行。本次会议将举办三个主题演讲(1小时),20个全体会议(30分钟),24个平行会议(每个会议有四个20分钟的发言)和两个海报会议。该会议旨在刺激系统和合成生物学领域令人兴奋的跨学科研究,同时也支持系统生物学教育和该领域年轻研究人员的发展。预期的与会者将来自广泛的学科和职业阶段。研究讲座将由该领域的知名专家和年轻研究人员共同主持。ICSB 2017将为年轻和早期职业科学家提供职业发展机会,并为相关领域的学生和研究人员提供一个论坛,以考虑如何最好地克服当前的系统生物学教育。challenges.in生物科学目前正经历着从还原论范式向综合“系统”范式的历史性转变。在过去的二十年里,复杂分子调控系统的计算和数学建模在这一转变中发挥了关键作用。今天,强调和鼓励联合收割机结合在硅片和体内实验的跨学科合作。然而,系统生物学的快速发展带来了巨大的挑战,使实验和建模,以克服传统学科分开的障碍。为了促进这一转变,至关重要的是培养新一代的跨学科研究人员的能力,结合联合收割机的实验和理论方法的生物系统。本次会议将为实验学家和理论家之间的交流思想和促进合作创造一个平台,并为本科生和研究生,博士后和年轻的研究人员提供一个难得的机会,与该领域的领先科学家进行互动和学习。ICSB 2017还将最大限度地提高有才华的年轻研究人员的知名度,选择最好的摘要在平行会议上进行口头陈述,并突出展示每个人的海报会议。该项目由分子和细胞生物科学部的系统和合成生物学计划资助。
英文摘要
This award will provide support for The 2017 International Conference on Systems Biology (ICSB) to be held August 6-12, 2017 at the Squires Student Center in Virginia Tech, Blacksburg, Virginia. This conference will host three keynote talks (one hour), twenty plenary talks (30 minutes), 24 parallel sessions (each with four 20 minutes contributed talks) and two poster sessions. The conference is designed to stimulate exciting interdisciplinary research in systems and synthetic biology, while also supporting systems biology education and the development of young researchers in the field. The prospective attendees are expected to come from a broad spectrum of disciplines and career stages. Research talks will be given by both established experts in the field and young researchers alike. ICSB 2017 will provide career-building opportunities for young and early-career scientists, as well as a forum for students and researchers in related fields to consider how best to overcome current challenges.in systems biology education. Biological sciences are currently undergoing a historic transition from a reductionist paradigm to an integrative "systems" paradigm. For the past two decades, computational and mathematical modeling of complex molecular regulatory systems have played pivotal roles in this transition. Today, interdisciplinary collaborations that combine both in silico and in vivo experiments are emphasized and encouraged. However, the rapid growth of systems biology presents great challenges in bringing together experimentalists and modelers to overcome the barriers separating the conventional disciplines. To facilitate this transition, it is critical to train a new generation of interdisciplinary researchers with the abilities to combine experimental and theoretical approaches to biological systems. This conference will create a platform for exchanging ideas and fostering collaborations between experimentalists and theoreticians, and provide a rare opportunity for undergraduate and graduate students, postdocs, and young researchers to interact with and learn from leading scientists in the field. ICSB 2017 will also maximize the visibility of talented young researchers by selecting the best abstracts for oral presentation in parallel sessions and by highlighting the poster sessions that showcase everyone?s research.This project is funded by the Systems and Synthetic Biology Program in the Division of Molecular and Cellular Biosciences.
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FET: AF: Small: Spatial Stochastic Modeling and Simulation with application in the Caulobacter Cell Cycle control
Phase I I/UCRC University of Connecticut Site: Center for Novel High Voltage/Temperature Materials and Structures (HVT)
  • 批准号:
    1650544
  • 项目类别:
    Standard Grant
  • 资助金额:
    $30.0万
  • 财政年份:
    2017
  • 负责人:
    Yang Cao
  • 依托单位:
Collaborative Research: Identifying and modeling the advantages of regulating protein abundance in Caulobacter crescentus
AF: Small: Algorithmic Foundations of Hybrid Stochastic Modeling and Simulation Methods with Applications to Cell Cycle Models
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