会议摘要（Abstract）

本次研讨会以动力系统的最新进展及其在相关应用领域，特别是统计学各领域的研究为主题。动力系统研究系统随时间的演变，是当前数学研究的一个充满活力的数学分支。现代动力系统的理论起源于19世纪末期庞加莱在天体力学领域的开创性工作，之后由李雅普诺夫、伯克霍夫和斯梅尔等数学家进一步推进。该领域与数论、概率论、统计学等其他数学与应用数学分支紧密相连，并在生物学、化学、物理学、工程学、气候科学、社会科学、工业数学、数据科学等多个学科方向展现出广泛而令人瞩目的应用前景。

本次研讨会邀请动力系统和遍历理论，以及统计学各领域的专家。他们将展示各自最新的研究成果，并就前沿问题进行深入探讨。报告内容将包括微分动力系统、光滑遍历论、统计试验设计以及在其它相关领域的应用。

The topic of this workshop is recent advances in dynamical systems and their applications across various fields, particularly in various areas of statistics. Dynamical systems, which study the evolution of systems that change over time, is a vibrant area of current mathematical research. The modern theory of dynamical systems traces its origins to Poincaré’s work on celestial mechanics in the late 19th century, further developed by mathematicians including Lyapunov, Birkhoff and Smale. This field is closely connected to other areas like number theory,  probability theory and statistics, and boasts a multitude of exciting applications in biology, chemistry, physics, engineering, climate science, social science, industrial mathematics, data science and more.

This workshop is to gather experts in dynamical systems and ergodic theory and various fields of statistics. They will present their latest research findings and discuss cutting-edge problems. Talks will include differentiable dynamical systems, smooth ergodic theory, statistical experimental design, and applications in other related fields.

举办意义(Description of the aim)

本次研讨会将聚集动力系统与统计学各领域活跃的资深专家与年轻学者。研讨会旨在促进最新研究成果的交流与分享，推动在研项目的深入合作，并为跨学科研究方法的探索提供一个学术交流平台。此外，研讨会将为年轻学者提供展示其研究成果的宝贵机会。

The workshop aims to gather active senior and young researchers from various fields of dynamical systems and statistics. This gathering facilitates the exchange and sharing of the latest research findings, to promote in-depth collaboration on ongoing projects, and to provide an academic platform for exploring interdisciplinary research methods. In addition, the conference will provide opportunities for young scholars to present them recent work.