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Research Outputs

Datasets & Archives

Original datasets, archives, and field-facing research tools produced by Daniel, GRAIL, and collaborators.

AI Governance and Regulatory Archive (AGORA) Dataset
↻ Living Dataset

Searchable archive of AI-related legislation, regulations, and governance documents from around the world — a GRAIL and Georgetown CSET collaboration.

AI Ethics Global Document Collection Dataset

Systematic collection of AI ethics guidelines and governance frameworks from governments, international organizations, technology companies, and civil society worldwide.

AI Survey Hub for Attitudes and Research Exchange (AI SHARE) Dataset
Under Development

Survey instruments, codebooks, and methodological notes for studying public attitudes toward AI — built for cross-context replication and comparative research.

Political Deepfakes Incidents Database (PDID) Dataset
↻ Living Dataset

Structured records of political deepfake incidents — incident type, actors, platform context, detection status, and governance response — built for research and journalism.

Police Technology and Accountability Project (PTAP) Dataset
Under Development

Tracks AI and algorithmic technology adoption across U.S. police departments — vendor relationships, deployed systems, transparency practices, and accountability mechanisms.

Forecasting AI Risks and Impacts on the Workforce (FAIRWORK) Dataset
Under Development

Examines how AI labor market forecasts influence beliefs and decisions among policymakers, managers, and workers — a GRAIL, VCU, and National University of Singapore collaboration producing open data and a forecast comparison tool.

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Methods & Learning

Guides & Tools

Curated resources for research workflows, quantitative methods, and academic writing.

The Big Handy Post of R Resources Methods

Community-curated Reddit megathread — dozens of R tutorials, cheat sheets, packages, and workflow guides across skill levels.

AI-Assisted Writing: A Student Guide Writing

OpenAI's guide to using ChatGPT responsibly for academic writing. Covers brainstorming, drafting, editing, and citation practices, with attention to avoiding over-reliance and maintaining academic integrity. A useful starting point for students navigating AI writing tools in coursework.

Zotero Reference Management Methods

Ian Adams's practical PDF guide to Zotero — library setup, syncing, citation management, and integration with Word, Google Docs, and R Markdown.

Learn LaTeX in 30 Minutes (Overleaf) Writing

Overleaf is a collaborative online LaTeX editor widely used in academic research. It handles compilation, template management, and real-time collaboration without requiring a local LaTeX installation. Useful for writing journal articles, conference papers, CVs, and theses in a professional format — especially in fields where LaTeX is the standard.

PsyTeachR Resources Methods

A comprehensive library of open educational materials developed by the psychology teaching team at the University of Glasgow. Covers reproducible research workflows, R programming, data wrangling, and visualization — with a focus on social and behavioral science applications. Particularly useful for students learning to work with quantitative data for the first time.

Writing R Code the Good Way Methods

A practical R-Bloggers guide to writing clear, readable, and reproducible R code. Covers naming conventions, project structure, commenting style, and habits that make code easier to share and revisit months later. Recommended for any student or researcher beginning to work with R for data analysis.

The Tidyverse Methods

The tidyverse is an opinionated collection of R packages designed for data science, sharing a common grammar and data structure. Packages like dplyr, ggplot2, tidyr, and readr cover the full data analysis workflow — from import and wrangling to visualization and modeling. The official site includes documentation, tutorials, and links to key packages.

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For Students & Prospective Members

Joining GRAIL, Graduate Study, & AI Ethics and Policy Careers

For prospective GRAIL members at any level, those considering doctoral programs in AI policy and social science, and students building careers in responsible technology, ethics, or academia broadly.

GRAIL Center Materials GRAIL

Key documents for current and prospective GRAIL members — the GRAIL handbook, current projects overview, and student affiliate expectations.

Applying to Political Science PhD Programs Guide

Josh Kertzer's practical guide for prospective doctoral students — application process, statement of purpose, and what faculty look for.

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