Threats of Artificial Intelligence (TAI) Scale

Thu, 20 Aug 2026 00:00:00 +0200

The measurement materials, information on permission to use the scale, and the citation are on the TAI scale page.

Paper Template for Reproducible Empirical Papers (R Markdown)

Thu, 29 Oct 2026 00:00:00 +0100

I have made the template I use for my empirical papers publicly available on GitHub: paper-template. It combines a linear R pipeline with an R Markdown manuscript, so that every number, table, and figure in the paper is produced by code and can be rebuilt with a single command.

The pipeline is based on the way I write manuscripts with R and R Markdown and reflects many years of experience in writing research papers with an empirical focus. I used ChatGPT and Claude to refine the template and to prepare it for publication.

How it is organized

One entry point: source("R/00_run_all.R") runs import, cleaning, analysis, and the preparation of tables and figures, and then renders the manuscript and an online appendix to PDF.
Central configuration: paths, seeds, survey weights, and render options are set in one YAML file; machine-specific data paths can be kept in a local file that is not versioned.
Display-only manuscript: the R Markdown files contain no analysis code. They load pre-built tables (APA style, with notes), figures, and pre-formatted values for in-text reporting.
Submission and open science support: an optional anonymized version for peer review, an approximate word count, a session-info record, and a script that packs a reproduction package for OSF without raw data.

The repository also contains documentation of its architecture and working rules for LLM-assisted coding sessions.

To start a new project, use Use this template on GitHub or clone the repository; the README describes how to adapt it to a new study. The template is released under the MIT License, and I am happy to receive suggestions via GitHub issues.

Resources | Marco Lünich

Threats of Artificial Intelligence (TAI) Scale

Paper Template for Reproducible Empirical Papers (R Markdown)