Conference: Seminar on Stochastic Processes 2023

2023年随机过程研讨会（SSP 2023）将于2023年3月8日至11日在亚利桑那州图森市的亚利桑那大学举行。自1981年以来，这些研讨会每年举行一次（2021年除外），是北美probabilists的重要定期会议系列，汇集了一批有成就的研究人员，早期职业调查人员和研究生。SSP 2023的主要目标是展示概率论和随机过程的最新进展，并使参与者能够与同行讨论他们的工作。五位主要演讲者和辅导讲师因其在该领域的突出地位和研究领域的集体广度而被选中。SSP 2023还将包括专门针对新研究人员的活动;这些将包括两个90分钟的辅导讲座，一个海报会议与伴随的迷你会谈，一个开放的问题会议，和一个小组讨论的主题特别感兴趣的早期职业研究人员。随机过程是根本的理解随机性发生在真实的世界和用于建模各种各样的物理，生物、生态和金融现象。一些将在这次会议上讨论的主题包括从物理问题，如渗流，随机矩阵理论和自旋系统的概率动机;平均场游戏的概率理论;偏微分方程和随机偏微分方程的推导基本随机微观动力学;和随机现象分形环境。参加会议的财政支持将优先给予研究生，博士后，妇女，代表性不足或边缘化群体的成员，以及可能无法参加会议的早期职业研究人员。更多信息可以在会议网页上找到，https://ssp2023.math.arizona.edu/This奖项反映了NSF的法定使命，并被认为值得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来支持。

The Seminar on Stochastic Processes 2023 (SSP 2023) will be held at the University of Arizona in Tucson, Arizona on March 8-11 2023. These seminars have been held annually (with the exception of 2021) since 1981 and are an important regular conference series for North American probabilists, bringing together a diverse group of accomplished researchers, early-career investigators, and graduate students. The primary goals of SSP 2023 are to present the most significant recent progress in probability theory and stochastic processes and to enable participants to discuss their work with peers. The five main speakers and tutorial lecturer were chosen for their prominence in the field and for the collective breadth of their research areas. SSP 2023 will also incorporate activities intended especially for new researchers; these will include two 90-minute tutorial lectures, a poster session with accompanying mini-talks, an open problem session, and a panel discussion on topics of particular interest to early-career researchers.Stochastic processes are fundamental to understanding the way randomness occurs in the real world and are used to model a wide variety of physical, biological, ecological, and financial phenomena. Some of the topics that will be addressed in this meeting include probability motivated by problems from physics, such as percolation, random matrix theory and spin systems; the probabilistic theory of mean field games; the derivation of partial differential equations and stochastic partial differential equations from underlying stochastic microscopic dynamics; and random phenomena in fractal-like environments. Financial support to attend the conference will be preferentially given to graduate students, postdocs, women, members of under-represented or marginalized groups, and to early-career researchers who may not otherwise be able to attend the conference. Additional information may be found on the conference webpage, https://ssp2023.math.arizona.edu/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.