Seminar on Stochastic Processes (SSP) 2020

随机过程研讨会（SSP）2020

• 批准号: 1951535
• 负责人: Yimin Xiao
• 金额: $ 4.61万
• 依托单位: Michigan State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-02-15 至 2020-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1951535&HistoricalAwards=false
• 关键词: Seminar; Stochastic; Processes; SSP; 2020

The Seminar on Stochastic Processes 2020 will be held at Michigan State University in East Lansing, Michigan, on 5-7 March 2020. These seminars have been held annually since 1981. They have become a crucially important regular conference series for probabilists in North America, bringing together a diverse group of accomplished researchers, early-career investigators, and graduate students in probability and stochastic processes. The primary goal of SSP 2020 is to provide a platform for the dissemination of the most recent significant progress in research, and to enable participants to discuss their work with others. The five scholars who will be the main speakers at SSP 2020 were chosen for their prominence as researchers in stochastic processes, and for the breadth of their research areas as a group, to maximize the participants' exposure. SSP 2020 will include additional activities intended especially for new researchers and they will take the form of two 90-minute tutorial lectures delivered by a speaker selected by the Probability Subcommittee of the IMS New Researchers Committee and a panel discussion on topics of particular interest to early-career researchers. This conference will be an extraordinary opportunity for students and early-career researchers to learn the latest developments in probability and related topics, and to interact with leading researchers.Financial support to attend the conference will preferentially be given to graduate students, postdocs, women, and other under-represented or marginalized groups, as well as to early-career faculty who may not otherwise be able to attend the conference. The topics covered in this edition of SSP will include Brownian motion and Levy processes, stochastic analysis, stochastic partial differential equations, random matrix theory, fractional Brownian motion and rough path theory, random media, and application to fluid mechanics, statistical physics, climate science, and mathematical biology. More information will be curated and kept at the conference webpage: https://stt.natsci.msu.edu/events/ssp2020/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.

2020年随机过程研讨会将于2020年3月5日至7日在密歇根州东兰辛的密歇根州立大学举行。这些讨论会自1981年以来每年举行一次。它们已经成为北美概率学家的一个至关重要的定期会议系列，汇集了不同群体的有成就的研究人员，早期职业调查者，以及概率和随机过程的研究生。SSP 2020的主要目标是为传播最新的重大研究进展提供一个平台，并使参与者能够与其他人讨论他们的工作。这五位学者将在SSP 2020上担任主要发言人，他们被选中是因为他们作为随机过程研究人员的突出地位，以及他们作为一个群体的研究领域的广度，以最大限度地提高参与者的曝光率。SSP 2020将包括专门为新研究人员设计的额外活动，这些活动将采取两次90分钟的辅导讲座的形式，由IMS新研究人员委员会概率小组委员会选择的演讲者提供，并就早期职业研究人员特别感兴趣的主题进行小组讨论。本次会议将为学生和早期职业研究人员提供一个难得的机会，让他们了解概率和相关主题的最新发展，并与领先的研究人员互动。参加会议的资金支持将优先给予研究生、博士后、女性和其他代表性不足或边缘化群体，以及可能无法参加会议的早期职业教师。本课程涵盖的主题包括布朗运动和列维过程、随机分析、随机偏微分方程、随机矩阵理论、分数布朗运动和粗糙路径理论、随机介质，以及在流体力学、统计物理、气候科学和数学生物学中的应用。更多信息将被整理并保存在会议网页上：https://stt.natsci.msu.edu/events/ssp2020/This该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。