Chinese Open Science Network

可重复性与开放科学中文圈

Chinese Open Science Network (COSN), a grass-root network for promoting open science practices and awareness of reproducibility in the Chinese-speaking community. COSN is one of the Community of Open Scholarship Grassroots Networks that aimed at promoting open science and changing the research culture globally. COSN is run by Early Career Researchers (ECRs) and for ECRs, especially for the next generation researchers.


Please see executive committee for more about our team!   About us

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Forthcoming Events

Executive Committees (Ordered in surnames)


CHEN, Yanxiu (Sharon)


Post-doc, the Institute of Psychology, Chinese Academy of Sciences, China

Sharon is currently a postdoc research at the Institute of Psychology, Chinese Academy of Sciences. Her expertise is using computational models to understand the underlying mechanisms of human cognition including memory. She is also a scuba diver and a sci-fi fan.

GAO, Mengyu (Miranda)


Assistant professor, Beijing Normal University, China

Dr. Mengyu Gao is a postdoctoral researcher at the University of Utah and will be joining Beijing Normal University, China as an assistant professor in Spring, 2022. Dr Gao obtained her PhD in Developmental Paychology and a minor in Quantitative Psychology at the University of Notre Dame in 2019. She studies how the perinatal environment and family relationships confer risk and resilience for the development of psychopathology, with a particular focus on child emotion regulation. She fuels herself by outdoor activities, board games, cooking, and companies of her family.

GE, Jianqiao


Peking University, China

Jianqiao Ge is teaching at Academic for Advanced Interdisciplinary Studies(AAIS), Peking University. Her research interests are focused on scientific studies of brain intelligence and social neuroscience. She is the Principle Investigator/Co-Investigator of more than 10 research grants supported by Ministry of Science and Technology of China, National Natural Science Foundation of China, and Beijing Municipal Science & Technology Commission. She has published more than 20 referred research articles on leading academic journals such as PNAS, and awarded 2 national patents. Dr.Ge received her Ph.D. in psychology, B.S in physics, a double B.S in mathematics and applied mathematics, and a double B.S in economics from Peking University. She was a postdoctoral fellow at the University of Chicago.

GENG, Haiyang


Post-doc, The University of Hong Kong, China

Dr. Haiyang Geng is a postdoc researcher in Dr. Xiaoqing Hu's lab at The University of Hong Kong. His current research focuses on memory, decision and psychopathology (i.e. anxiety, depression and schizophrenia) by using computational modeling and advanced neuroimaging approaches. In 2012, Haiyang Geng obtained his bachelor degree in bioinformatics at Harbin Medical University. After that, tremendous interest and curiosity drive him to enter the field of cognitive neuroscience. During his master, he worked with Dr. Xuebing Li in the Institute of Psychology, Chinese Academy of Science on the topic of exploring neural mechanisms of anxiety. In 2015, he got his master degree in cognitive neuroscience. During 2015-2016, he worked with Dr. Shaozheng Qin at Beijing Normal University on modulation of stress, anxiety on working memory. During 2016-2020, he joined the Ph.D. program at the University of Groningen. During his Ph.D., Haiyang was supervised by prof. André Aleman and prof. Yue-Jia Luo. His Ph.D. research is to examine how disrupted prediction processes may contribute to a variety of psychiatric symptoms (i.e. anxiety, hallucination and apathy) by using multiple neuroimaging approaches including brain activation, connectivity (i.e. psychophysiological interaction (PPI)) and dynamic functional connectivity (i.e. sliding window, K-means and phase synchronization), graph theory (i.e. modularity analysis).

HU, Chuan-Peng


Professor, Nanjing Normal University, China

Dr. Hu Chuan-Peng is currently a faculty member of the School of Psychology, Nanjing Normal University. In 2017, Chuan-Peng received his PhD degree in Psychology at the Department of Psychology, Tsinghua University. After that, he worked as a post-doc at the Leibniz Institute for Resilience Research (LIR). He started his journey in open science and metascience after two failed replications of published papers during his master and PhD training. He became an ambassador of the Center for Open Science since 2016. Now, Chuan-Peng's research interests include metascience and Bayesian modelling in social cognition.

JIN, Haiyang


Postdoctoral associate, New York University Abu Dhabi, United Arab Emirates

Dr. Haiyang Jin is a postdoctoral associate in Dr. Olivia Cheung's lab at the New York University Abu Dhabi. He obtained his Ph.D. in psychology at the University of Auckland, New Zealand, under the supervision of Prof. William G. Hayward, Assoc/Prof. Paul M. Corballis, and Assoc/Prof. Sam Schwarzkopf. He is interested in understanding face perception, holistic face processing, and vision sciences using psychophysics, EEG/ERP, fMRI, and eye-tracking. He is also a big fan of statistics, e.g., (generalized) linear mixed-effects modeling, Bayesian hierarchical modeling, and the "new statistics". Personal website: https://haiyangjin.github.io/.

JIN, Shuxian


PhD Candidate, Vrije Universiteit Amsterdam, the Netherlands

Shuxian Jin is a Ph.D. candidate in social psychology at the Department of Experimental and Applied Psychology, Vrije Universiteit Amsterdam. Her research interest focuses on situational influences on human cooperation and interdependence. She applies meta-analysis, survey and field study to understand (a) how structural features affect cooperation in social dilemmas, (b) conflicts of interest and the psychology of cooperation, and (c) daily interdependence and cooperation in different ecologies. During her Ph.D., she co-developed the Cooperation Databank (CoDa) - A machine-readable history of cooperation research to search and select studies for on-demand meta-analysis (https://cooperationdatabank.org/). She is currently involved in the creation of a meta-analysis database of leadership studies. Personal webpage: https://www.vupsy.nl/staff-members/shuxian-jin/

WANG, Qing (Vincent)


Postdoc Fellow, Montreal Neurological Institute, McGill University, Canada

Dr. Qing Wang (Vincent) is currently a postdoc Fellow and photographer at the NeuroDataScience-ORIGAMI laboratory, McConnell Brain Imaging Centre, The Neuro (Montreal Neurological Institute-Hospital), McGill University, Montreal, Canada. He received his PhD degree in Information Science in 2017 and started his research related to brain imaging since then. His research interests lies broadly in data science related to large scale multi-model neuroimaging processing and analysis including: 1) Reproducibile neuroimging biomakers for neurodegenerative diseases; 2) Causal inference in observational neuroimaging data and normative modeling; 3) s/d/fMRI and i/M/EEG modeling and processing; 4) Human behavior modeling based on electrical records; 5) Data visualization. He is also interested in promoting open science with tutorials (Git/GitHub, fMRIPrep, maching learning in neuroimaging etc.). He is one of the main contributors to the tri-national China-Cuba-Canada project and one of the origial CONP (Canadian Open Neuroscience Platform) members.

WANG, Xindi


Beijing Intelligent Brain Cloud, Inc., Beijing, China

Dr. Xindi Wang is now a senior algorithm engineer at Beijing Intelligent Brain Cloud, Inc., Beijing, China. He is a code contributor and maintainer of GRETNA, REST, DPABI, and contributor of CIVET. During 2011-2018, he was supervised by Prof. Yufeng Zang and Prof. Yong He in the National Key Laboratory of Cognitive Neuroscience and Learning at Beijing Normal University and tried to explore differentiated hubs in structural human networks. After obtaining his PhD degree, he move to Montreal Neurological Institute (MNI) and work with Prof. Alan C Evans. In 2021, He joined Beijing Intelligent Brain Cloud, Inc. and continue to contribute on brain MR imaging methodology. His current research focuses on the quality control of multi-modal MRI from multi-site. He is also interested in improving MR imaging preprocessing by using deep learning.

YANG, Jinbiao


PhD Candidate, Max Planck Institute for Psycholinguistics, the Netherlands

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YANG, Yufang


Postdoctoral fellow, Freie universität Berlin, Germany

Dr. Yu-Fang Yang is a postdoctoral fellow at the Freie universität Berlin's department of Education and Psychology, Division General Psychology and Neuropsychology, Germany. After completing her master's degree in psychology in education at the University of Bristol in Engalnd. She obtained her PhD in psychology at the University Paris-Sacalary in France. Her research focus on the social interactio, and how does the visual brain direct the eyes towards the most diagnostic feature on faces - relevant facial features have different information values depending on emotional expression. She is also actively promoting Open science principles, such as EEGManyPipeline and ARTEM-IS: agreed reorting template for EEG methodology and other projects.

ZHANG, Han


Research Fellow, National University of Singapore, Singapore

Dr. Han Zhang is a research scientist at Agency for Science, Technology and Research (A*STAR), Singapore. She received her PhD degree in Developmental and Educational Psychology at the School of Brain and Cognitive Sciences, Beijing Normal University, China. During 2015-2020, she was a research fellow at the Department of Biomedical Engineering, National University of Singapore. Her research interests are understanding brain and behavior development in children, as well as the potential influencers and resilience mechanisms. She is also working on translational medicine projects of neurodevelopment.

ZHANG, Lei


Post-doc, University of Vienna, Austria

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