Welcome to PCIC2024
Causal inference has gained significant traction across diverse
disciplines, encompassing statistics, biostatistics, biomedical science, computer
science, economics, epidemiology, and various social sciences. In the light of this
burgeoning interest, 2024 the 6th Pacific Causal Inference Conference (PCIC
2024) is scheduled to take place in Shanghai, China, on July 5-6, 2024, marking a
notable milestone in the field.
Commencing in 2019 under the leadership of Professor Xiao-Hua Zhou, PCIC has been
successfully organized five times. The inaugural conference unfolded in Beijing on May
11-12, 2019, followed by subsequent editions in Beijing on September 26-27, 2020,
September 11-12, 2021, September 17-18, 2022, and September 16-17, 2023. Notably, the
upcoming sixth edition will break new ground by being hosted in Shanghai for the first
time. Moreover, PCIC 2024 is scheduled to be held concurrently with the World Artificial
Intelligence Conference (WAIC) in July 2024.
PCIC 2024 extends a warm invitation for both in-person and virtual attendance,
acknowledging the evolving dynamics of global participation. The conference endeavors to
serve as a dynamic platform for participants to disseminate their research findings,
share insights, and exchange experiences related to causal inference. It also aims to
foster collaboration and generate innovative solutions for the challenges and
opportunities intrinsic to this dynamic field.
The conference program will encompass a diverse array of activities, including keynote
speeches, invited talks, panel discussions, oral presentations, and poster sessions. In
a significant development, PCIC 2024 will publish the independent conference proceedings
for the first time. Accepted papers will be included in PCIC 2024 proceedings, which will be published in the Springer’s series of Communications in Computer and Information Science (CCIS), [Electronic ISSN: 1865-0937; Print ISSN: 1865-0929]
which will undergo submission for inclusion in prominent databases such as EI,
Scopus, DBLP, and Google Scholar. In addition, excellent conference papers will be recommended for publication in the special issue of the： Biostatistics
& Epidemiology, the official journal of International Biometric
Society-Chinese region (https://think.taylorandfrancis.com/special_issues/pcic-2024/).
The selection of the papers will be made by the Scientific Committee of the Conference
and will be gone through the peer-reviewed process at the journal. Your participation in
PCIC 2024 is sincerely encouraged, offering an invaluable opportunity to explore a wide
spectrum of topics within the realm of causal inference.
Notification!
PCIC 2024 will be a hybrid conference that will run both in-person and
virtually.
Please submit full paper/abstract before submission deadline.
Authors will be informed with the review result on the notification day.
Please finish the registration according to the instructions before the deadline.
You can attend the conference either in person or online.
Please choose either way to submit your manuscripts.
1: CMT System
2: Email to [email protected]
3: General queries, please email to [email protected]
Please prepare the registration files according to the acceptance
letter you received and send them back to [email protected]
before the due.
Registration as a listener, please click.
Accepted papers will be included in PCIC2024 proceedings, which will be published in the Springer’s series of Communications in Computer and Information Science (CCIS) [Electronic ISSN: 1865-0937; Print ISSN: 1865-0929]. The proceedings will be submitted for inclusion in major databases such as EI, Scopus, DBLP and Google Scholar.
Asst. Prof. Mona Azadkia
ETH Zurich, Switzerland
Asst. Prof. Matteo Bonvini
Rutgers University, USA
Dr. Guangyi Chen
MBZUAI, UAE
Asst. Prof. Carlos Cinelli
UW-Seattle, USA
Asst. Prof. Yifan Cui
Zhejiang University, China
Asst. Prof. Xiaowu Dai
University of California, Los Angeles, USA
Dr. Yuhao Deng
University of Michigan, USA
Assoc. Prof. Ivan Diaz
New York University, USA
Asst. Prof. Kara E. Rudolph
University of Columbia, USA
Dr. Konstantin Genin
University of Tübingen, Germany
Assoc. Prof. Zijian Guo
Rutgers University, USA
Ms. Yiyi Huo
UW-Seattle, USA
Prof. Zhichao Jiang
Sun Yat-sen University, China
Prof. Theis Lange
University of Copenhagen, Denmark
Prof. Mark Van Der Lann
University of California, Berkeley, USA
Assoc. Prof. Wei Li
Renming University of China, China
Asst. Prof. Xinran Li
University of Chicago,
USA
Asst. Prof. Zhaotong Lin
Florida State University, USA
Asst. Prof. Lin Liu
Shanghai Jiaotong University, China
Assoc. Prof. Ruixuan Liu
The Chinese University of Hong Kong, China
Asst. Prof. Zhonghua Liu
Columbia
University, USA
Asst. Prof. Francesco Locatello
Institute of Science and Technology Austria, Austria
Prof. Wenbin Lu
North Carolina State University, USA
Assoc. Prof. Kosuke Morikawa
Osaka University, Japan
Asst. Prof. Daniel Malinsky
Columbia University, USA
Assoc. Prof. Yumou Qiu
Peking University, China
Assoc. Prof. Bruno Ribeiro
Purdue University, USA
Prof. Donald B. Rubin
Tsinghua University, China
Prof. Shohei Shimizu
Shiga University and RIKEN, Japan
Dr. Xinwei Shen
ETH Zurich, Switzerland
Prof. Dylan Small
University of Pennsylvania, USA
Assoc. Prof. Maarten van Smeden
UMC Utrecht, Netherlands
Dr. Matthew Smith
London School of Hygiene and Tropical Medicine, UK
Dr. Bingkai Wang
University of Pennsylvania, USA
Prof. Lan Wang
University of Miami, USA
Asst. Prof. Yixin Wang
University of Michigan, USA
Asst. Prof. Haoran Xue
City University of Hong Kong, China
Prof. Fan Yang
Tsinghua University, China
Ms. Mengyue Yang
University College London, UK
Assoc. Prof. Shu Yang
North Carolina State University, USA
Asst. Prof. Ruoqi Yu
University of Illinois Urbana-Champaign, USA
Asst. Prof. Bo Zhang
Fred Hutchinson Cancer Center, USA
Assoc. Prof. Kun Zhang
Carnegie Mellon University & MBZUAI
Assoc. Prof. Zheng Zhang
Renmin University of China, China
Prof. Xiao-Hua Zhou
Peking University, China
TBD
