因果推断近年来取得了持续而稳步的发展，相关方法体系不断完善，应用范围也在不断拓展。随着人工智能技术的快速演进，因果推断正与人工智能深度融合，在提升人工智能系统的可信性、稳健性与可解释性方面发挥着越来越重要的作用。作为重要的数据分析工具之一，因果推断为理解和分析大型语言模型等复杂智能系统提供了新的研究视角，并在科学、技术和工业领域等多个领域得到广泛应用。尽管在多源异构数据整合、因果结论稳健性等方面仍面临挑战，因果推断已逐步从以理论研究为主的学术方向，发展成为支持科学研究和实际决策的重要方法，在学术界和产业界均受到高度关注。

泛太平洋因果推断大会（Pacific Causal Inference Conference, PCIC）是自2019年起由北京大学讲席教授、北京大学公共卫生学院生物统计系系主任、北京大学北京国际数学研究中心生物统计和信息研究室主任周晓华博士等发起的因果科学领域一年一度的学术盛会。PCIC致力于探讨因果推断在不同领域的最新进展，自2019年至2025年，PCIC已在北京、上海成功举办7届，逐步发展成为因果推断领域具有重要影响力的学术会议。

In recent years, causal inference has experienced sustained and steady development. Its methodological framework has been continuously refined, and its range of applications has expanded significantly. With the rapid advancement of artificial intelligence (AI) technologies, causal inference is becoming deeply integrated with AI, playing an increasingly important role in enhancing the reliability, robustness, and interpretability of AI systems. As a key data analysis tool, causal inference provides new perspectives for understanding and analyzing complex intelligent systems such as large language models, and has been widely applied across science, technology, and industry. Although challenges remain—particularly in areas such as multi-source heterogeneous data integration and the robustness of causal conclusions—causal inference has gradually evolved from a predominantly theoretical academic pursuit into a vital methodology supporting scientific research and practical decision-making, attracting growing attention from both academia and industry.

The Pacific Causal Inference Conference (PCIC), established in 2019 by Dr. Xiao-Hua Zhou, Chair Professor at Peking University, Chair of the Department of Biostatistics at the School of Public Health, and Director of the Biostatistics and Informatics Research Center at the Beijing International Center for Mathematical Research, has become an annual academic event in the causal science community. Dedicated to exploring the latest developments in causal inference across various domains, PCIC has successfully hosted seven editions in Beijing and Shanghai from 2019 to 2025.

会议基本信息

会议名称：第八届泛太平洋因果推断大会 （PCIC 2026）

会议时间：2026年7月18日-19日

会议地点：中国，天津，南开大学

会议目标：为持续促进因果推断领域的学术交流、探索理论前沿及实践应用，推动因果推断研究成果在各学科领域的转化应用。PCIC 2026将作为一个国际性的学术平台，汇聚因果领域全球顶尖专家学者，促进跨学科的合作，推动因果推断理论的发展及其在各行业中的创新应用。

Conference Information

Conference Name:

The 8th Pacific Causal Inference Conference, PCIC 2026

Conference Dates: July 18-19, 2026

Conference Venue：Nankai University, Tianjin, China

Conference Objectives:

To promote ongoing academic exchange, explore theoretical advancements, and enhance the practical application of causal inference.

PCIC 2026 will bring together leading experts to foster cross-disciplinary collaboration, advance research, and drive innovation across industries.

会议历史/Conference History

更多会议历史请查看PCIC过往官网链接：

For more information on past PCIC, please refer to the official website:

2019: http://www.conference.bicmr.pku.edu.cn/meeting/index?id=74

2020: http://www.conference.bicmr.pku.edu.cn/meeting/index?id=84

2021: http://www.conference.bicmr.pku.edu.cn/meeting/index?id=97

2022: http://www.conference.bicmr.pku.edu.cn/meeting/index?id=101

2023: http://www.conference.bicmr.pku.edu.cn/meeting/index?id=109

2024: https://www.spco.cc/pcic/

2025:https://www.spco.cc/pcic2025

组织单位/Organizing Institutions

主办单位/Organizers

南开大学统计与数据科学学院

School of Statistics and Data Science, Nankai University

北京大学公共卫生学院生物统计系

Department of Biostatistics, School of Public Health, Peking University

协办单位/Co-organizers

中国现场统计研究会生物医疗统计分会

Chinese Association for Applied Statistics-Biostatistics

中国数学会医学数学专委员会

CMS-Mathematics in Medicine

北京国际数学研究中心

Beijing International Center for Mathematical Research

组委会/Organizing Committee

Committee Chair

Xiao-Hua Zhou, PKU Endowed Chair Professor, Peking University, China

Committee Members

Robin Evans, Professor, University of Oxford, UK

Fang Han, Job & Gertrude Tamaki Endowed Professor, University of Washington, USA

Jinzhu Jia, Associate Professor, Peking University, China

Theis Lange, Professor, University of Copenhagen, Danmark

Thomas S Richardson, Professor, University of Washington, USA

Don B. Rubin, Emeritus Professor, Harvard University, USA

Linbo Wang, Associate Professor, University of Toronto, Canada

Lu Wang, Professor, University of Michigan, USA

Ting Ye, Assistant Professor, University of Washington, USA

Fabrizia Mealli, Professor, European University Institute, Italy

Satoshi Hattoris, Professor, Osaka University, Japan

Shu Yang, Professor, NC State University, USA

Diaz Ordaz Karla, Professor, University College London, UK

Mingming Gong, Associate Professor, The University of Melbourne, Australia

Lan Wang, Centennial Endowed Chair Professor, University of Miami, USA

参会类型/Participation Type

1、听众参会

缴费注册成为付费听众，参加两天（7月18-19日）会议。

2、口头报告参会

学生：注册后提交全文及学生证明，优秀文章可参与评奖。

非学生：注册后提交摘要

3、海报展示参会

主要面向学生，缴费注册后提交摘要

注：口头报告参会及海报展示参会全文及摘要投稿截止日期2026年4月30日

4、短课参会

报名参加因果推断短期培训课程，参加7月17日下午培训课程

注：大会参会（听众/口头报告/海报）与短课参会为两个独立活动，可重复报名并同时参加。

1. Listener Participation: register as a listener and attend the two-day conference (July 18–19).

2. Oral Presentation Participation:

Students: After registration, submit a full paper along with valid student certification. Outstanding papers will be considered for awards.

Non-students: After registration, submit an abstract.

3. Poster Presentation Participation: Primarily for students. After paid registration, participants submit an abstract.

Note: The submission deadline for full papers and abstracts for oral presentations and poster presentations is April 30, 2026.

4. Short Course Participation: Participants register for a short course on causal inference, held on the afternoon of July 17.

Note: Conference participation (audience/oral presentation/poster) and short course participation are two independent activities. Participants may register for both and attend concurrently.

会议日程/Conference Schedule

以上日程为暂定计划，详细内容将实时补充更新
The above schedule is provisional. Detailed arrangements will be supplemented and updated in real time.

短课介绍/Short Course

课程简介

本短课将以因果推断的统计学基础为起点，系统讲解因果科学从传统统计方法到智能科学前沿的发展脉络。因果推断拥有坚实的理论基础：在Neyman—Rubin潜在结果框架下，因果推断主要围绕因果效应的定义、识别、估计及推断展开。因果图作为描述多变量间相互作用机制的关键工具，能够帮助我们深刻理解因果关系的机制，特别是在干预条件下如何传递因果作用。

因果推断目前已广泛应用于生物统计等众多领域，其中混杂因素的处理是核心难点之一。针对观察性研究，本课程将根据不同的数据类型和生成机制，介绍相应的因果推断方法。比如：在完全随机化不可行的场景下，如何通过回归、加权与双稳健方法有效估计因果效应，以及怎样选择最优估计量；在结局受处理后事件影响时，如何运用中介分析分解不同路径上的因果效应，并处理事件发生时间型中介与结局的复杂问题；在结局无法直接定义的情况下，如何借助主分层技术识别科学目标人群及其因果效应；面对不可控的未观测混杂，如何利用工具变量、阴性对照变量等方法进行因果识别。此外，课程还将介绍归因分析技术，即如何根据已知结果推断可能的原因。

在人工智能时代背景下，因果推断与机器学习日益融合，课程将探讨深度学习等现代方法在因果效应估计中的应用，包括复杂场景下未观测混杂的处理及因果效应的泛化能力。最后，我们将结合实际案例，介绍因果推断在计算机视觉、自然语言处理、互联网推荐系统、大型语言模型等先进领域的多样化应用，帮助学员全面了解因果科学的理论基础与创新实践。

授课老师

• 周晓华，北京大学讲席教授

• 邓宇昊，福瑞德·哈金森癌症研究中心博士后研究员

• 郑淳元，北京大学博士研究生

课程大纲

Introduction

This short course begins with the statistical foundations of causal inference and systematically explores the development of causal science, from traditional statistical methods to the cutting edge of intelligent science. Causal inference is built on a solid theoretical basis: under the Neyman–Rubin potential outcomes framework, the main topics include the definition, identification, estimation, and inference of causal effects. Causal diagrams serve as essential tools for describing the mechanisms of interaction among multiple variables, helping us gain a deep understanding of how causal relationships operate, especially how causal effects are transmitted under interventions.

Causal inference has been widely applied in biostatistics and many other fields, with the challenge of confounding being a central focus. For observational studies, this course will introduce suitable causal inference methods based on different data types and data-generating mechanisms. For instance: when complete randomization is infeasible, how to effectively estimate causal effects using regression, weighting, and doubly robust methods, and how to choose optimal estimators; when outcomes are affected by post-treatment events, how to use mediation analysis to decompose causal effects along different pathways, and how to handle time-to-event mediators and outcomes; when the outcome cannot be directly defined, how to use principal stratification to identify target populations and causal effects; and when unmeasured confounding cannot be controlled, how to identify causal effects using instrumental variables and negative control variables. Additionally, the course covers attribution analysis, which aims to infer possible causes based on known results.

In the era of artificial intelligence, causal inference increasingly interacts with machine learning. This course will also examine applications of modern methods such as deep learning in causal effect estimation, including strategies for dealing with unmeasured confounding in complex scenarios and enhancing the generalizability of causal inference. Finally, through practical case studies, the course will illustrate the diverse applications of causal inference in cutting-edge fields such as computer vision, natural language processing, internet recommendation systems, and large language models, equipping participants with a comprehensive understanding of both the theoretical foundations and innovative practices in causal science.

Short Course Instructors

• Xiao-Hua Zhou, PKU Endowed Chair Professor, Peking University

• Yuhao Deng, Postdoctoral Fellow, Fred Hutch Cancer Center

• Chunyuan Zheng, Ph.D. Student, Peking University

Short Course Outline

会议注册/Registration

注册费用/Registration Fees

无论参会类型，注册费用统一按参会人员身份（学生/非学生）收取。

Regardless of the participation type, registration fees are charged based on participant status (student / non-student)

报名方式/Registration Method

会议注册（观众、口头报告、海报展示）：

第一步：缴费注册

请先扫描二维码完成会议缴费注册，并妥善保存付款截图，后续将用于上传核验。

第二步：登录系统并提交材料

请访问以下注册链接：

https://www.meta-conference.cc/index/index/detail/id/89.html

注册用户名并登录系统，按要求填写个人基本信息。

1. 在支付方式中请选择 Bank Transfer，并上传第一步中保存的付款截图。

请注意：在填写信息的过程中

• Paper ID：请填写 N/A
  

• Dining：7月18-19日提供午餐，请勾选 Regular Meal

2. 提交后，订单状态将显示为 Pending。会务组在确认收到款项后，会将订单状态更新为Complete。

3. 在此期间，您可登录注册后台，在My Registration页面中，根据参会类型（口头报告 / 海报展示）上传相应的摘要或全文。

说明：

如您无法通过扫码方式完成支付，可使用Bank Transfer页面中提供的银行账户信息进行转账，并在系统中上传相应的付款凭证。

短课注册：

请访问以下链接完成报名:

https://meta-conference.cc/index/index/detail/id/90.html

1.请在Meta-Conference注册网站完成用户注册（如尚无账户）
2.完成注册后，请选择因果推断短课程进行报名
3.请根据提示如实填写所有带星号（*）的必填信息，包括：
·参会人姓名
·联系电话
·电子邮箱
·所属单位
·Paper ID：请填写 N/A
4. Attendee Type：短课仅支持线下参会，无需勾选此项
5. Dining：PCIC 2026短课不提供餐食，无需勾选此项
6. Attendee's Name：请填写参会人员姓名，英文格式
完成全部信息填写后，请点击 Submit Payment 跳转至付款页面，付款成功后会议秘书将与您取得联系确认报名信息。

Conference Registration (Listener / Oral Presentation / Poster Presentation):

Step 1: Payment and Registration

Please scan the QR code to complete the conference payment and registration. Kindly save a screenshot of the payment confirmation, as it will be required for later verification.

Step 2: System Login and Submission

Please visit the following registration link:

https://www.meta-conference.cc/index/index/detail/id/89.html

Create a user account and log in to the system. Fill in the required personal information.

Please note the following when filling in the information:

• Paper ID: Please enter N/A.

• Dining: Lunch will be provided on July 18–19. Please select the Regular Meal.

1. When selecting the payment method, please choose Bank Transfer and upload the payment screenshot saved in Step 1.

2. After submission, the order status will be marked as Pending. Once the organizing committee confirms receipt of the payment, the status will be updated to Complete.

3. During this period, you may log in to the registration system and, under My Registration, upload the required abstract or full paper according to your participation type (oral presentation or poster presentation).

Note:

If you are unable to complete the payment via QR code, please use the bank account information provided under Bank Transfer, complete the transfer manually, and upload the payment proof to the system.

Short Course Registration:

https://meta-conference.cc/index/index/detail/id/90.html

Participation Steps:

1. Create a user account on the Meta-conference website if you do not already have one
2. Proceed to register for the short course
3. Complete all required fields (*) with accurate information, including:
· Full name of attendee
· Phone number
· Email address
· Affiliation
· Country
· Paper ID: Please enter “N/A”
4. Attendee Type: Only in-person participation, no selection is needed
5. Dining: Since no meals will be provided for the short course, no selection is needed
6. Attendee’s Name: Fill in the attendee’s name in English format.
7. After completing all information, click “Submit Payment” to proceed to the payment page.
Once payment is successfully processed, the conference secretary will contact you to confirm your registration details.

联系方式/Contact

更多详细会议信息，请查看会议网站：https://www.spco.cc/pcic2026

For more detailed conference information, please visit the conference website: https://www.spco.cc/pcic2026

组委会负责人：陈博 (Bo Chen)

电子邮件：bochen@nankai.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