【会议通知】2025清华大学统计+AI前沿峰会通知 Statistics + AI Frontier Summit Notice

发布时间:2025年05月08日



清华大学统计+AI前沿峰会

2025 Tsinghua Statistics + AI Frontier Summit

数聚前沿 智启未来

统计筑基探AI前沿 数据赋能领交叉创新




会议简介 Conference Introduction

2025清华大学统计+AI前沿峰会将于7月2日至3日隆重举办。本次峰会由清华大学统计与数据科学系举办,将聚焦统计学、数据科学与人工智能领域的前沿进展,深入探讨人工智能技术在交叉数据科学中的创新应用。汇聚全球顶尖学者,共同推动学科发展与跨界合作。会议地点请关注后续通知。

We are pleased to announce the Statistics + AI Frontier Summit 2025, a major event hosted by the Department of Statistics and Data Science at Tsinghua University, focusing on the latest developments in statistics, data science, and artificial intelligence. This summit will explore the innovative applications of AI in interdisciplinary data science, fostering collaboration across fields. Distinguished scholars from around the world will gather to share insights and drive progress in these dynamic disciplines. Further details, including the venue, will be announced soon.


会议时间

Conference Dates


2025年7月2日-7月3日

(July 2nd-3rd, 2025)

报到时间:7月1日

(Registration date:July 1st)



峰会精彩看点

Summit Hightlights



01 高峰论坛 Keynote  Speeches

特邀国内外统计与数据科学领域顶尖学者、学科带头人,分享前沿研究成果。

Distinguished scholars in statistics and data science will share groundbreaking research and future directions.


02 前沿议题覆盖 Frontier Discussions

涵盖理论突破与产业应用最新成果。

Cutting-edge topics spanning theoretical innovations and real-world applications.


03 跨学科对话 Interdisciplinary Collaboration

促进统计与数据科学、人工智能与各领域交叉创新。

Bridging statistics, data science, AI, and diverse domains to drive scientific progress.


论坛核心议题

Core Themes

01

统计学与人工智能前沿进展

Frontiers in Statistics and Artificial Intelligence


02

人工智能与交叉数据科学

AI in Cross-Disciplinary Data Science  


会议形式

Conference Format



特邀报告 Keynote Speeches  


焦点论坛 Panel Discussions  


专家访谈 Expert Interviews  



联系方式 Contact information

会议筹备组 Summit Secretariat:

北京市海淀区清华大学自强科技楼4号楼(吕大龙楼)715

Room 715, Lyu Dalong Building, Tsinghua University, Haidian District, Beijing, China.

邮箱地址 Email:zhanghan214@tsinghua.edu.cn

联系电话 Phone:+86-10-62782431(张老师 Han Zhang)



主办单位:清华大学统计与数据科学系

Organizer: Department of Statistics and Data Science, Tsinghua University