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I am Dr. Hu Chuan-Peng, a faculty member of the School of Psychology, Nanjing Normal University.

I am interested in how human beings process self-related social information, with a “3M” approach: meta-science, (cognitive) modeling, and (psychological) measurement. We are also trying to apply the “3M” approach to the mental health issues in the real world.

Dataset 1: Data from the Human Penguin Project (data, data descriptor, original study).

Dataset 2: A dataset of cognitive ontology for neuroimaging studies of self-reference, which meta data extracted from all published fMRI studies that employed self-referential paradigm (dataset, data descriptor). These data can be used for coordinate-based meta-analyses of fMRI (e.g., Hu et al., 2016) or other purposes.

Dataset 3: A Chinese Social Evaluative Words List (data, preprint, code), which include Chinese words that describe people's appearance,socioeconomic status, sociability, competence, and morality.

Please see the website of my lab for more about my research.

I am teaching three courses related to statistics.

2022 ~ currently, Advanced Psychological Statistics《高级心理统计学》 for undergrads. This course focuses Bayesian statistics, I used Bayes Rules! as the textbook but PyMC as the programming language. All slide are prepared using Jupyter Notebook and are avialable here. This course is in the autumn-winter semester.

2022 ~ currently, R for Psychological Research《R语言在心理学研究中的应用》 for graduate students. This goal of this course is introducing R language to more students in psychology. All slide are prepared using RMarkdown and are avialable here. This course is in the spring-summer semester.

2021 ~ 2023: Psychological Statistics《心理统计学》 for undergrads. All slide are prepared using RMarkdown and are avialable here. This course last for two semesters.

I support Open Science and co-found the Chinese Open Science Network, please see our position paper in AMPPS or book chapter.