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Conference: 2023 Stochastic Physics in Biology: Bridging Stochastic Physical Theories with Biological Experiments

Conference: 2023 Stochastic Physics in Biology: Bridging Stochastic Physical Theories with Biological Experiments
会议:2023 年生物学中的随机物理学:将随机物理理论与生物实验联系起来
批准号:
2242530
负责人:
Jie Xiao
金额:
$2.0万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2022
资助国家:
美国
项目状态:
已结题
起止时间:
2022-12-15 至 2023-11-30

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中文摘要
翻译
该奖项将部分支持将于2023年1月15日至20日在加利福尼亚州文图拉举行的戈登生物学随机物理研究会议(GRC)。这次会议的目的是通过将一群杰出而多样化的物理学家、数学家、工程师和生物学家聚集在研究的前沿,将随机物理理论与生物实验联系起来。它将利用随机物理学中的原理和理论来解决在理解生物系统复杂行为方面出现的挑战。会议之前举行了戈登研究研讨会(GRS),这是一个为研究生、博士后研究员和其他初级科学家提供新的、未发表的研究的独特论坛。2023年GRS与2023年GRC随机物理学在生物学中的结合被命名为“细胞组织的多尺度过程”。这次会议的组织是为了优化来自不同学科的研究人员之间的合作和交流。会议通过邀请来自不同学科的演讲者,以及由讨论负责人的介绍来促进跨学科交流,架起了不同学科的桥梁。该计划围绕定义生物物理前沿的九个会议组织:1)基因表达中的随机物理,2)传感和信号,3)细胞过程的建模,4)生物系统的热力学,5)生物模型和途径的推断,6)单细胞和群落中的微生物行为,7)生物系统中的模式形成,8)生长和发育,以及9)生物功能和活动的空间组织。该计划通过预定和非正式的讨论时间、海报会议、社交时间和Power Hour™来促进网络联系。该奖项的广泛影响包括促进跨学科科学,增加生物物理学社区的多样性、公平性和包容性(DEI),以及对早期职业研究人员的培训和职业发展。2023年GRC生物随机物理大会致力于发展多样化的课程和包容性的会议氛围。选定参与者是为了确保妇女和任职人数偏低的少数群体的比例代表性。为了增加代表不足的少数族裔(URM)科学家的参与,组织者将接触到已知的URM网络:(1)黑人妇女在计算生物学网络,(2)布切特荣誉研究生学会,(3)奇卡诺人/拉美裔和美洲原住民科学促进会-SACNAS,(4)针对小规模科学家的年度生物医学研究会议-ABRCMS,(5)UMBC迈耶霍夫学者计划校友协会,该奖项反映了NSF的法定使命,并通过使用基金会的智力优势和更广泛的影响审查标准进行评估,被认为值得支持。
英文摘要
This award will partially support a Gordon Research Conference (GRC) on Stochastic Physics in Biology, to be held in Ventura, CA, January 15-20, 2023. The meeting aims to bridge stochastic physical theories with biological experiments by bringing together an outstanding and diverse group of physicists, mathematicians, engineers, and biologists at the forefront of research. It will address emerging challenges in understanding complex behaviors of biological systems using principles and theories in stochastic physics. The conference is preceded by a Gordon Research Seminar (GRS), a unique forum for graduate students, postdoctoral fellows, and other junior scientists to present new, unpublished research. The 2023 GRS in conjunction with the 2023 GRC Stochastic Physics in Biology is titled “Multiscale processes of cellular organization”. The conference is organized to optimize collaboration and communication among researchers from diverse disciplines. Sessions foster cross-disciplinary communication by including speakers from different disciplines, with introductions by discussion leaders that bridge the different disciplines. The program is organized around nine sessions that define the frontiers of Biological Physics: 1) Stochastic Physics in Gene Expression, 2) Sensing and Signaling, 3) Modeling if Cellular Processes, 4) Thermodynamics if Biological Systems, 5) Inference of Biological Models and Pathways, 6) Microbial Behaviors in Singles and Communities, 7) Pattern Formation in Biological Systems, 8) Growth and Development, and 9) Spatial Organization of Biological Functions and Activities. The program promotes networking through scheduled and informal discussion times, poster sessions, social hours, and Power Hour ™.Broader impacts of this award include fostering interdisciplinary science, increasing the diversity, equity, and inclusivity (DEI) of the Biological Physics community, and the training and career development for early career researchers. The 2023 GRC Stochastic Physics in Biology is committed to developing a diverse program and inclusive conference atmosphere. Participants were selected to ensure proportional representation of women and underrepresented minorities. To increase the participation of underrepresented minority (URM) scientists at the meeting, the organizers will reach out to known URM networks: (1) the Black Women in Computational Biological Network, (2) Bouchett Honor Graduate Society, (3) Society for the Advancement of Chicanos/Hispanics and Native Americans in Science - SACNAS, (4) Annual Biomedical Research Conference for Minoritized Scientists -ABRCMS, (5) UMBC Meyerhoff Scholars Program Alum Association, and (6) Black in Biophysics @BlackInBiophys/Twitter.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
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