Promoting computational psychiatry in China

Geng, Haiyang; Chen, Ji; Chuan-Peng, Hu; Jin, Jingwen; Chan, Raymond C.K.; Li, Ying; Hu, Xiaoqing; Zhang, Ru‐Yuan; Zhang, Lei

doi:10.1038/s41562-022-01328-4

Cited by 7 publications

(6 citation statements)

References 10 publications

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“…This slows down the dissemination of advances on Open Science. Moreover, because of the lack of top-down coordination, training (see Geng et al, 2022), and properly structured incentives, researchers in China rarely communicate or collaborate with other academic professionals, including librarians, funders, and publishers. For example, pushing forward open access-an important aspect of Open Science-is typically regarded as a job of librarians, and most researchers do not engage in the discussion of open-access and open-publication models.…”

Section: Challenges To Developing Countriesmentioning

confidence: 99%

The Chinese Open Science Network (COSN): Building an Open Science Community From Scratch

Jin

Wang

Yang

et al. 2023

Advances in Methods and Practices in Psychological Science

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Open Science is becoming a mainstream scientific ideology in psychology and related fields. However, researchers, especially early-career researchers (ECRs) in developing countries, are facing significant hurdles in engaging in Open Science and moving it forward. In China, various societal and cultural factors discourage ECRs from participating in Open Science, such as the lack of dedicated communication channels and the norm of modesty. To make the voice of Open Science heard by Chinese-speaking ECRs and scholars at large, the Chinese Open Science Network (COSN) was initiated in 2016. With its core values being grassroots-oriented, diversity, and inclusivity, COSN has grown from a small Open Science interest group to a recognized network both in the Chinese-speaking research community and the international Open Science community. So far, COSN has organized three in-person workshops, 12 tutorials, 48 talks, and 55 journal club sessions and translated 15 Open Science-related articles and blogs from English to Chinese. Currently, the main social media account of COSN (i.e., the WeChat Official Account) has more than 23,000 subscribers, and more than 1,000 researchers/students actively participate in the discussions on Open Science. In this article, we share our experience in building such a network to encourage ECRs in developing countries to start their own Open Science initiatives and engage in the global Open Science movement. We foresee great collaborative efforts of COSN together with all other local and international networks to further accelerate the Open Science movement.

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Section: Challenges To Developing Countriesmentioning

confidence: 99%

The Chinese Open Science Network (COSN): Building an Open Science Community From Scratch

Jin

Wang

Yang

et al. 2023

Advances in Methods and Practices in Psychological Science

Self Cite

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“…Another common scenario is to examine the difference between two participant groups (e.g., patients vs. healthy controls) with respect to a specific model parameter (Crawley et al, 2020;Zhao et al, 2021), especially in emerging interdisciplinary fields such as computational psychiatry (e.g., Geng et al, 2022;Huys, Maia, & Frank, 2016). For example, several studies have revealed the atypical drift rate in patients with psychotic illnesses (Mathias et al, 2017), unmedicated adults with Major Depressive Disorder (Cataldo, Scheuer, Maksimovskiy, Germine, & Dillon, 2022;Lawlor et al, 2020), and ADHD (Shapiro & Huang-Pollock, 2019), as compared to healthy control participants.…”

Section: Predictive Accuracy Adjustmentmentioning

confidence: 99%

A Hitchhiker’s Guide to Bayesian Hierarchical Drift-Diffusion Modeling with dockerHDDM

Chuan-Peng¹,

Geng²,

Zhang³

et al. 2022

Preprint

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Drift diffusion models (DDM) are widely used to investigate decision-making processes in psychology, behavioral economics, neuroscience, and psychiatry. As one of the most cited software packages, HDDM (Hierarchical Bayesian estimation of DDMs), a python library, has been useful in helping researchers with minimal coding experience fit DDMs and other sequential sampling models to their experimental data. Despite the popularity of HDDM, its compatibility issues during installation and the lack of advanced Bayesian modeling functionalities, unfortunately, hamper its further applications in research practices. To circumvent these challenges, we integrated Bayesian modeling Python package ArviZ into HDDM and encapsulated them into a virtualized ready-to-use package in Docker, called dockerHDDM. Augmented by ArviZ, dockerHDDM provides richer data analysis functions and data visualization tools. This tutorial provides a hands-on guide on how to use dockerHDDM to efficiently conduct Bayesian hierarchical analysis of DDMs and is expected to facilitate the implementation, analysis, and reproducibility of DDMs. The workflow showcased here can be further generalized into broader applications of Bayesian data analysis.

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“…Moreover, due to the lack of top-down coordination, training (see Geng et al, 2022), and properly structured incentives, researchers in China rarely communicate or collaborate with other academic professions, including librarians, funders, and publishers. As such, systematic changes are slow.…”

Section: This Manuscript Has Not Been Peer-reviewed Yet Running Head:...mentioning

confidence: 99%

The Chinese Open Science Network (COSN): Building an Open Science community from scratch

Jin¹,

Wang²,

Yang³

et al. 2022

Preprint

Self Cite

View full text Add to dashboard Cite

Open Science is becoming a mainstream scientific ideology in psychology and related fields. However, due to inadequate research infrastructures, limited resources, and a lack of local support amongst various other difficulties, researchers - especially early career researchers (ECRs) in developing countries - are facing significant hurdles in moving Open Science forward. In China, ECRs often feel discouraged from participating in Open Science for reasons such as language barriers and the lack of dedicated communication channels. To bridge this gap, the Chinese Open Science Network (COSN) started with a simple wish to make the voice of Open Science heard by Chinese-speaking ECRs and scholars at large. With the core values of grassroots-oriented, diversity, and inclusivity, COSN has grown from a small open science interest group to a recognized organization both in the Chinese-speaking community and Open Science community. Since its inaugural event in 2016, COSN has organized three in-person workshops, 55 journal club sessions, 38 talks, 12 tutorials, and translated 15 Open Science English articles and blogs into Chinese. Currently, the COSN official WeChat account has more than 22,000 subscribers, and more than 1,000 researchers/students actively participate in the discussions on Open Science. In this paper, COSN shares its experiences of developing such networks and hopefully they are helpful for ECRs in other developing countries who would like to start their Open Science initiatives. We foresee great collaborative efforts of COSN together with all other local and international networks to further accelerate the Open Science movement.

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Promoting computational psychiatry in China

Cited by 7 publications

References 10 publications

The Chinese Open Science Network (COSN): Building an Open Science Community From Scratch

The Chinese Open Science Network (COSN): Building an Open Science Community From Scratch

A Hitchhiker’s Guide to Bayesian Hierarchical Drift-Diffusion Modeling with dockerHDDM

The Chinese Open Science Network (COSN): Building an Open Science community from scratch

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