活动报名｜2023泛太平洋因果推断大会

导语

2023泛太平洋因果推断大会是自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等发起的因果科学领域一年一度的盛会。盛会将于9月16日至17日以线下+线上的形式举办，面向所有对因果科学感兴趣的相关研究人员，探索新的科研方向。期待热爱学习的你与我们一起攀登因果科学的阶梯！另外，今年组委会专门设立了学生报告专场，邀请在因果科学领域做出相关研究的你报名参与。

Description

Causal inference has gained popularity in fields including statistics, biostatistics, biomedical science, computer science, economics, epidemiology, and various social sciences. Prof.Zhou, as the founding Chair of the organizing committee, has been hosting the Causal Inference for the 5th time. The conference aims to share the latest development on causal inference by inviting university-based statisticians/professors and industry-based statisticians/scientists. After two years of online meetings, this year, the Pacific Causal Inference Conference will be held on September 16th and 17th in a combination of offline and online.

Please click the link below to review the past conferences：

Website

https://pattern.swarma.org/pcic/

Articles

The 2020 Pacific Causal Inference Conference(一)

The 2020 Pacific Causal Inference Conference(二)

The 2021 Pacific Causal Inference Conference

The 2022 Pacific Causal Inference Conference

Videos

The 2021 Pacific Causal Inference Conference

Swarma Campus: https://campus.swarma.org/course/3574

Bilibili: https://www.bilibili.com/video/BV1RR4y1p7Ke/?spm_id_from=333.999.0.0&vd_source=db976cbbe46aa6087b5398bfdbeaf11c

Youtube: https://www.youtube.com/watch?v=-_PmD8W80VA&list=PLyMbXauSvLfcTLpYG5Rssb9clR1fGMpwH

The 2022 Pacific Causal Inference Conference

Swarma Campus: https://campus.swarma.org/course/4900

Bilibili: https://www.bilibili.com/video/BV1BX4y1k7o9/?spm_id_from=333.788&vd_source=db976cbbe46aa6087b5398bfdbeaf11c

Youtube: https://www.youtube.com/watch?v=jzJiDiTVNv0&list=PLyMbXauSvLfehzS5lQVWPFp2QD3okGMTM

Workshop: The 2022 Huawei Causal Inference Competition

Swarma Campus: https://campus.swarma.org/course/5023

Bilibili: https://www.bilibili.com/video/BV1xR4y1q7dQ/?spm_id_from=333.788&vd_source=db976cbbe46aa6087b5398bfdbeaf11c

Organizing Committee

Xiao-Hua Zhou, Ph.D (Chair)

PKU Endowed Chair Professor, Beijing International Center for Mathematical Research

Chair, Department of Biostatistics

Peking University

azhou@math.pku.edu.cn

https://sph.pku.edu.cn/info/1416/4185.htm

Peng Cui, Ph.D

Associate Professor, Department of Computer Science and Technology

Tsinghua University

cuip@tsinghua.edu.cn

http://pengcui.thumedialab.com/

Robin Evans, Ph.D

Associate Professor, Department of Statistics

University of Oxford

evans@stats.ox.ac.uk

http://www.stats.ox.ac.uk/~evans/

Fang Han, Ph.D

Associate professor, Statistics&Economics

University of Washington

fanghan@uw.edu

https://sites.stat.washington.edu/people/fanghan/

Jinzhu Jia, Ph.D

Associate Professor, Department of Biostatistics

Peking University

jzjia@math.pku.edu.cn

https://sph.pku.edu.cn/info/1418/4187.htm

Theis Lange, Ph.D

Professor, Department of Public Health

University of Copenhagen

thlan@sund.ku.dk

https://publichealth.ku.dk/staff/?pure=en/persons/122712

Wang Miao, Ph.D

Assistant Professor, Department of Probability and Statistics

Peking University

mwfy@pku.edu.cn

https://www.math.pku.edu.cn/teachers/mwfy/

Yumou Qiu, Ph.D

Associate professor, Department of Statistics

Iowa State University

yumouqiu@iastate.edu

https://yumou.org/

Thomas S Richardson, Ph.D

Professor, Department of Statistics

University of Washignton

thomasr@uw.edu

https://sites.stat.washington.edu/tsr/website/inquiry/home.php

Donald B. Rubin, Ph.D

Professor, Yau Mathematical Science Center

Tsinghua University

Research Professor, Shusterman Senior Research Fellow, Fox School of Business and Management

Temple University

dbrubin@me.com

https://www.fox.temple.edu/directory/donald-b-rubin-tuk42657

Linbo Wang, Ph.D

Assistant Professor, Department of Statistics

University of Toronto

linbo.wang@utoronto.ca

https://www.statistics.utoronto.ca/people/directories/all-faculty/linbo-wang

Lu Wang, Ph.D

Professor, Department of Biostatistics

University of Michigan

luwang@umich.edu

https://sph.umich.edu/faculty-profiles/wang-lu.html

Ting Ye, Ph.D

Assistant Professor, School of Public Health

University of Washington

tingye1@uw.edu

https://www.biostat.washington.edu/people/ting-ye

Fabrizia Mealli, Ph.D

Professor, Statistics

University of Florence

fabrizia.mealli@unifi.it

https://local.disia.unifi.it/mealli/

Mingming Gong ,Ph.D

Associate Professor, Department of Machine Learning

The University of Melbourne

mingming.gong@unimelb.edu.au

https://mingming-gong.github.io/

Kun Zhang, Ph.D

Associate Professor, Department of Philosophy

Carneigie Mellon University

kunz1@cmu.edu

https://www.cmu.edu/dietrich/philosophy/people/faculty/zhang.html

Schedule

The Pacific causal inference conference will be held offline+online on Beijing Time Sept 16 and Sept 17. Please mind the time difference while attending the conference.

Offline：Lecture Hall, No. 82 Jingchun Garden, Peking University

Online：Zoom Meeting

Register

Scan the code to register：

Call for Oral Talks (Student Only)

If you have conducted relevant research in causal science in the past year, we sincerely invite you to give an oral presentation at the PCIC conference, where many top experts will be in attendance. The presentation is not limited to published works, and the specific time will be notified according to the conference schedule. If you are interested in the PCIC conference, please scan the QR code below to fill out the basic information and register.