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SuperJayLiu/AI-for-Economics-and-Finance-Research

An "all-you-need-to-know" practical guide to using AI and LLMs responsibly and effectively for economics and finance research: from core skills and ChatGPT/Claude Projects to coding, writing, reproducibility, and automation. 小红书账号：SuperJay

HTML ⑂ 13 forks MIT GitHub ↗ site ↗

★ 27

stars

100

AI relevance

solo dev

tool sigs

SUMMARY AI summary by gpt-5-mini

A practical, GitHub-native handbook and resource library for using AI responsibly in economics and finance research. It provides concise, copy-pasteable "skills" (prompts, templates, and checklists) plus workflow guidance for literature review, methods drafting, data cleaning, slides, and verification. Intended users: PhD students, RAs, junior faculty, finance researchers, instructors, and coauthor teams/lab leads. Key features include a skill pack to load into ChatGPT/Claude/Codex-style tools, step‑by‑step Git/GitHub and agent setup, rules for safe data use, verification habits (one paper = one repo + AI‑use log), and examples of failures and audits to help validate AI outputs.

DETECTED Detected AI stack

AI-related keywords found in this repo's description, topics, or README summary — grouped by category. Each badge links to the corresponding ranking detail page.

🧩 AI frameworks (1)

Instructor

🤖 LLM models (1)

Claude

GitHub Topics

#academic-presentation #academic-project #academic-research #academic-writing #ai #ai-agents #ai-tools #economics #finance #research-tool

Language breakdown (by bytes)

HTML

100%

Why this is classified AI-related

The AI relevance score checks four places for AI keywords and adds the weight of each one that matches. Full methodology

Repository name no match

Description +25 matched: ai

GitHub topics +25 matched: ai

README head +20 (derived from the score — README text is not stored)

Total AI relevance score: 100 / 100

Position among AI repos in the same language

We track 3,297 HTML repos, of which 2,043 score 40 or above on AI relevance. 28 have more stars than this one (top 0.9%), and 0 score higher (top 0.0%).