视觉实验室新手任务
Teaching materials and resources for computational and quantitative social science methods.
Resources which may be useful for PhD candidates in computing-based fields.
Awesome list of open-source tools for systematic reviews, meta-analysis, and evidence synthesis derived from Evidence Synthesis Tools Directory.
Create and run interactive behavioral experiments on the web, including VR studies, for free!
Curating Research Assets in Behavioral Sciences: A tutorial on organizing and curating research materials using RStudio & the Git version control system
Guidance about conducting scientific research
PsyGlass: An open-source framework for implementing Google Glass in research settings
质性研究全流程方法学 Skill：设计·抽样·访谈·扎根/主题编码·Kappa信效度·COREQ报告 + 离线Kappa计算器（工具中立，适配NVivo/MAXQDA）
A Claude Skill for writing publication-ready domestic and international literature reviews — five-step pipeline, eliminates citation chains, structured gap logic.
UX Portfolio showcasing UX Design and Research case studies for mobile applications
Comprehensive research co-pilot for Claude Code and claude.ai — 14 skills covering literature review, methodology, ethics review, data analysis, qualitative coding, brainstorming, manuscript drafting, replication design, grant writing, talk building, citations, survey design, and peer review. A peer collaborator, not a subservient assistant.
A short introduction to research methods for software engineers
A repository to hold lecture and activity notes from the University of York MSc Computer Science course
Supplementary materials for a research methods tutorial video.
Code for running adaptive General Recognition Theory experiments
SSCI 社科英文期刊论文写作全流程 Claude skill：从选题评刊到 Introduction/文献综述/方法/结果逐部分英文写作与投稿自检
ECI 589: Social Network Analysis and Education is graduate-level course for preparing education researchers and practitioners to apply social network analysis in their professional practice.
Guides & Jupyter Notebooks covering data science, computer vision, audio processing - tailored for research on behavioral sciences, and the course "LS100" taught at Harvard University.
Frame-differencing method: Automatic extraction of movement from video data
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