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活动报名|2023泛太平洋因果推断大会

日期: 来源:集智俱乐部收集编辑:


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.




Sponsors




Beijing International Center for Mathematical Research, Peking University
(北京大学北京国际数学研究中心)
Department of Biostatistics, School of Public Health, Peking University
(北京大学公共卫生学院生物统计系)
School of Mathematical Science, Peking University
(北京大学数学科学学院)
Center for Statistical Science, Peking University‍‍‍‍‍‍‍
(北京大学统计科学中心)
International Biometric Society – Chinese Region
(国际生物统计学会-中国分会)
Biomedicine Statistics Association of Chinese Society of Applied Statistics
(中国现场统计研究会生物医学统计学会)
Medical Mathematics Association of Chinese Mathematical Society
(中国数学会医学数学专委会)
Swarma Club
(集智俱乐部)





赞助商招募




因果科学国际会议是2019年由北京大学公共卫生学院生物统计系,北京大学北京国际数学研究中心发起的,是因果科学领域一年一度的盛会,大会邀请国际上知名的学者进行分享,吸引海内外相关研究领域的学生和老师参加,影响力广泛。

今年计划以线上和线下结合的形式来开展相关的学术讨论,同时有多个科学社区进行宣传和直播,预计线下参与人数在200人左右,线上参与人数在1万人以上,如果有意向赞助的企业可以联系王婷(邮箱:wangting@swarma.org,电话:18621066378)洽谈。


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