Related resources¶
Catalogs, guides and prompt collections that sit next to RISE but do not fit its three databases. Systems are scored in Projects, agent skills are collected in Skills, and scholarly literature lives in Papers. What follows is everything else a researcher working with AI is likely to look for.
Entries were checked on 2026-09-29. Descriptions are ours; follow the link for the maintainer's own account.
Sibling catalogs¶
AI in Economics Wiki — Mihail Velikov (Penn State). https://velikov-mihail.github.io/ai-econ-wiki/ · source velikov-mihail/ai-econ-wiki A curated knowledge base of 184+ sources on AI tools and workflows for business and economic research, organised into ten categories (setup, prompt engineering, agents, Claude Code skills, data and scraping, publishing, finance and econometrics, tool comparisons, institutions, productivity). Where RISE scores systems against a rubric, the wiki summarises sources, so the two are complementary. No licence is declared on the repository; link to it rather than copying from it.
Surveys and guides¶
Korinek, Generative AI for Economic Research — the Journal of
Economic Literature article (korinek2023genai)
and its semi-annual updates at https://www.genaiforecon.org/. The
August 2025 update, AI Agents for Economic Research
(korinek2025agents), is a
hands-on guide to building research agents with working code. The
standard entry point for economists.
Goldsmith-Pinkham, Using LLMs in economics research (talk, 2024) — https://paulgp.com/2024/06/24/llm_talk.html. A practical walk-through of editor-integrated coding assistants, code translation and explanation, drafting, teaching uses and running local models. Written for the Copilot and GPT-4o generation of tools, so read it as a record of 2024 practice; the agentic workflows now catalogued under Skills have largely superseded it.
BYU Library, Economics: AI tools — https://guides.lib.byu.edu/economics/ai. A university library guide to general-purpose AI features for finding and reading literature: AI assistants inside ProQuest and JSTOR, Statista's research chatbot, and discovery tools such as Research Rabbit and Connected Papers. Useful for students; it does not cover research agents.
Prompt libraries¶
Wharton Generative AI Labs, Prompt Library — Ethan Mollick and Lilach Mollick. https://gail.wharton.upenn.edu/prompt-library/. Evidence-based prompt templates organised by purpose, with guidance on testing prompts across models. CC BY 4.0. These are prompts for chat use, which is why they are listed here and not in the Skills database, where entries are agent skills with executable instructions.