
会议介绍
因果推断作为数据科学的重要分支,广泛应用于医学、经济学、社会科学、金融等领域。随着大数据、人工智能、机器学习技术的快速发展,尤其是大语言模型在因果推断领域的应用备受关注,因果推断在科学、技术与工业界面临前所未有的机遇与挑战。
泛太平洋因果推断大会(Pacific Causal Inference Conference, PCIC)由北京大学讲席教授、公共卫生学院生物统计系主任、北京国际数学研究中心生物统计与信息研究室主任周晓华博士于2019年发起,已成为因果科学领域一年一度的重要学术盛会。自2019年至2024年,PCIC已在北京、上海成功举办六届;2024年,PCIC在世界人工智能大会(WAIC)期间同步举办因果推断论坛,进一步扩大了学术影响力,现已发展为因果推断领域的重要国际会议。
Causal inference, a key branch of data science, is widely applied across fields like medicine, economics, social sciences, and finance. With rapid advancements in big data, AI, and machine learning—especially the integration of large language models—its applications in science, technology, and industry are growing fast, presenting both new opportunities and challenges.
Founded in 2019 by Dr. Xiao-Hua Zhou, Distinguished Chair Professor at Peking University, the Pacific Causal Inference Conference (PCIC) has become a leading annual event in causal science. It explores the latest developments in causal inference and has successfully held six editions in Beijing and Shanghai from 2019 to 2024. In 2024, the conference expanded by hosting the Causal Inference Forum at the World AI Conference (WAIC), further solidifying its position in the field.
会议基本信息
会议名称:第七届泛太平洋因果推断大会
会议时间:2025年7月5日-6日
会议官网:https://spco.cc/pcic2025/index.html
会议地点:中国,北京,北京大学中关新园科学报告厅
Conference Information
Conference Name:
The 7th Pacific Causal Inference Conference, PCIC 2025
Conference Dates: July 5-6, 2025
Conference Website: https://spco.cc/pcic2025/index.html
Conference Venue:
Science Lecture Hall, ZhongGuanXinYuan Global Village PKU, Beijing, China
主办单位
北京大学公共卫生学院生物统计系
Department of Biostatistics, School of Public Health, Peking University
北京国际数学研究中心
Beijing International Center for Mathematical Research, Peking University
中国数学会医学数学专业委员会
CMS-Mathematics in Medicine
中国现场统计研究会医药与生物统计分会
Chinese Association for Applied Statistics-Biostatistics
北京大学统计科学中心
The Center for Statistical Science, Peking University
国际生物统计学会-中国分会
International Biometric Society - China Region

组委会 / Organizing Committee
Committee Chair
Xiao-Hua Zhou, Distinguished Chair Professor, Peking University, China
Committee Members
Robin Evans, University of Oxford, UK
Fang Han, University of Washington, USA
Jinzhu Jia, Peking University, China
Theis Lange, University of Copenhagen, Danmark
Wang Miao, Peking University, China
Yumou Qiu, Peking University, China
Thomas S Richardson, University of Washington, USA
Don B. Rubin, Harvard University, USA
Linbo Wang, University of Toronto, Canada
Lu Wang, University of Michigan, USA
Ting Ye, University of Washington, USA
Fabrizia Mealli, European University Institute, Italy
Kun Zhang, CMU & MBZUAI, USA&UAE
Jae-Kwang Kim, Iowa State University, USA
Satoshi Hattoris, Osaka University, Japan
Shu Yang, NC State University, USA
Diaz Ordaz Karla, University College London, UK
Mingming Gong, The University of Melbourne, Australia
Fan Li, Duke University, USA
演讲嘉宾(按姓氏首字母排序) /Speakers(Alphabetize by Last Name)

参会类型 / Participation Type
听众参会:缴费注册成为付费听众,参加两天(7月5-6日)会议
课程参会:报名参加因果推断短期培训课程,参加7月4日下午培训课程
更多短课信息请点击访问PCIC 2025会议一轮通知
注:听众参会与课程参会为两个独立活动,二者可以重复报名并同时参加。
Listener: Register as a listener and participate in the two-day conference.
Short Course: Sign up for Causal Inference Short Course and attend on afternoon of July 4.
Note: Listener participation and course participation are two separate activities. Both can be registered for and attended simultaneously.
会议注册 / Registration
所有参会听众,课程报名人员需通过会议指定网站或小程序进行注册。听众报名费用包含:会议袋,会议日程册,参会证书,会议两天自助午餐等。
短课报名费用包含:7月4日下午课程材料
小程序注册:

扫描二维码,填写并提交报名信息
会议指定注册网站Meta-Conference注册:
https://www.meta-conference.cc/index/index/login/id/52.html
· 普通听众注册:1200元
· 学生听众注册:800元(需要提供学生证明)
· 短课报名注册:500元
All attendees need to register through the official conference website.
The general listeners registration fee includes: Conference bag, Conference program, certificate of attendance, buffet lunch on both days of the conference, etc.
The short course registration fee includes: Course materials for the afternoon session on July 4.
Registration Method:
https://www.meta-conference.cc/index/index/login/id/52.html
·Regular Listener: 170 USD
·Student Listener: 115 USD (Student proof is required)
·Short Course: 70 USD
联系方式 / Contact
电子邮件:liujing@bicmr.pku.edu.cn
组委会负责人:肖艳红 (Yanhong Xiao)
电子邮件:xiaoyh@bjmu.edu.cn
秘书处负责人:纪晓宇 (Jenny Ji)
电话(微信):15618780723
电子邮件:jenny@spectrum.ac
秘书处负责人:范添瑞 (Damone Fan)
电话(微信):13310183307
电子邮件:pcic@spco.cc
更多信息获取
请点击链接:
https://spco.cc/pcic2025/index.html
文章转自“Spectrum学术会议CSEE”公众号,已获得授权
往期PCIC:
20多位学者共话因果科学新进展——2023泛太平洋因果推断大会回顾总结
张坤:因果表征学习进展——发现隐藏的世界|2023泛太平洋因果推断大会回顾
因果科学社区
【第一季:因果科学与Causal AI】基于《Elements of Causal Inference》,探讨因果科学在机器学习方面的应用,如强化学习和迁移学习等,并分享工业应用。
【第二季:因果科学与基础实战】聚焦实操和基础,深入学习《Causal inference in statistics: A primer》和《Elements of causal inference: foundations and learning algorithms》。
【第三季:因果科学与Causal +X】回顾社会学、经济学、医学,计算机等领域的因果模型和范式,尝试用现代模型提供新思路。
【第四季:因果表征学习】探讨因果表征学习的理论、技术和最新应用,涉及因果生成模型、可解释性、公平性及工业落地。
详情请见:速来!因果与大模型的双向赋能丨因果科学第五季强势回归
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