會議介紹
因果推斷作為數據科學的重要分支,廣泛應用于醫學、經濟學、社會科學、金融等領域。隨著大數據、人工智能、機器學習技術的快速發展,尤其是大語言模型在因果推斷領域的應用備受關注,因果推斷在科學、技術與工業界面臨前所未有的機遇與挑戰。
泛太平洋因果推斷大會(Pacific Causal Inference Conference, PCIC)由北京大學講席教授、公共衛生學院生物統計系主任、北京國際數學研究中心生物統計與信息研究室主任周曉華博士于2019年發起,已成為因果科學領域一年一度的重要學術盛會。自2019年至2024年,PCIC已在北京、上海成功舉辦六屆;2024年,PCIC在世界人工智能大會(WAIC)期間同步舉辦因果推斷論壇,進一步擴大了學術影響力,現已發展為因果推斷領域的重要國際會議。
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.
會議基本信息
會議名稱:第七屆泛太平洋因果推斷大會
會議時間:2025年7月5日-6日
會議官網:https://spco.cc/pcic2025/index.html
會議地點:中國,北京,北京大學中關新園科學報告廳
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
北京大學公共衛生學院生物統計系
Department of Biostatistics, School of Public Health, Peking University
北京國際數學研究中心
Beijing International Center for Mathematical Research, Peking University
中國數學會醫學數學專業委員會
CMS-Mathematics in Medicine
中國現場統計研究會醫藥與生物統計分會
Chinese Association for Applied Statistics-Biostatistics
北京大學統計科學中心
The Center for Statistical Science, Peking University
國際生物統計學會-中國分會
International Biometric Society - China Region
組委會 / 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
演講嘉賓(按姓氏首字母排序) /Speakers(Alphabetize by Last Name)
參會類型 / Participation Type
聽眾參會:繳費注冊成為付費聽眾,參加兩天(7月5-6日)會議
課程參會:報名參加因果推斷短期培訓課程,參加7月4日下午培訓課程
更多短課信息請點擊訪問PCIC 2025會議一輪通知
注:聽眾參會與課程參會為兩個獨立活動,二者可以重復報名并同時參加。
Listener:Register as a listener and participate in the two-day conference.
Short Course:Sign up for Causal Inference Short Course and attend onafternoon of July 4.
Note:
Listener participation and course participation are two separate activities. Both can be registered for and attended simultaneously.
會議注冊 / Registration
所有參會聽眾,課程報名人員需通過會議指定網站或小程序進行注冊。聽眾報名費用包含:會議袋,會議日程冊,參會證書,會議兩天自助午餐等。
短課報名費用包含:7月4日下午課程材料
小程序注冊:
掃描二維碼,填寫并提交報名信息
會議指定注冊網站Meta-Conference注冊:
https://www.meta-conference.cc/index/index/login/id/52.html
· 普通聽眾注冊:1200元
· 學生聽眾注冊:800元(需要提供學生證明)
· 短課報名注冊:500元
All attendeesneed 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
聯系方式 / Contact
組委會負責人:劉晶 (Jing Liu)
電子郵件:liujing@bicmr.pku.edu.cn
組委會負責人:肖艷紅 (Yanhong Xiao)
電子郵件:xiaoyh@bjmu.edu.cn
秘書處負責人:紀曉宇 (Jenny Ji)
電話(微信):15618780723
電子郵件:jenny@spectrum.ac
秘書處負責人:范添瑞 (Damone Fan)
電話(微信):13310183307
電子郵件:pcic@spco.cc
更多信息獲取
請點擊鏈接:
https://spco.cc/pcic2025/index.html
文章轉自“Spectrum學術會議CSEE”公眾號,已獲得授權
往期PCIC:
因果科學社區
“因果”并不是一個新概念,而是一個已經在多個學科中使用了數十年的分析技術。集智俱樂部在過去4年期間圍繞研究人員的不同角度的需求,舉辦了4季相關主題的讀書會,形成了數千人規模的社區。
【】基于《Elements of Causal Inference》,探討因果科學在機器學習方面的應用,如強化學習和遷移學習等,并分享工業應用。
【】聚焦實操和基礎,深入學習《Causal inference in statistics: A primer》和《Elements of causal inference: foundations and learning algorithms》。
【】回顧社會學、經濟學、醫學,計算機等領域的因果模型和范式,嘗試用現代模型提供新思路。
【】探討因果表征學習的理論、技術和最新應用,涉及因果生成模型、可解釋性、公平性及工業落地。
【】主要圍繞因果科學的最新進展,包括因果科學與大模型的結合等方面進行深度的探討和梳理,希望給在這個領域的研究者提供一個全面的研究圖景。共同探討因果科學的未來發展以及面臨的挑戰。
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