Author Index¶
All authors referenced in the knowledge base, with links to their summaries.
Abhishek Nagaraj¶
UC Berkeley Haas
Alejandro Lopez-Lira¶
- Seeking Collaboration to Test Automated Research in Finance
- AI-Powered Pipeline to Stress-Test Research Ideas
- ZeroPaper Gallery: Papers Produced by an Autonomous Research Pipeline
- ZeroPaper: Enhanced AI-Assisted Research Template with Agentic Capabilities
- ZeroPaper: An Autonomous Research System (paper)
Alex Imas¶
University of Chicago Booth
Alexander Hoyle¶
ETH Zurich
- Read the Paper, Write the Code (with Kohler, Zollikofer, Einsiedler & Ash)
Alexander Kustov¶
University of Notre Dame
- Academics Need to Wake Up on AI
- Academics Need to Wake Up on AI, Part II
- Academics Need to Wake Up on AI, Part III
Alessandro Spina¶
UTS Finance
- Claude Code for Academics: An AI Agent for Empirical Research
- Claude Code Skills for Academic Researchers: A Practical Introduction
Alexander M. Dickerson¶
Andrew Y. Chen¶
Federal Reserve Board
- Prompts-to-Paper: Hedging the AI Singularity
- ralph-wiggum-asset-pricing: Open-Source Loop for Generating Asset Pricing Papers
Andy Hall¶
Stanford GSB / Hoover Institution
Aniket Panjwani¶
PhD Northwestern, Director AI/ML PaySlice
- AI Agents for Economic Research (VoxDev Webinar)
- AI Agents for Economics Research (Slides)
- OpenAI Codex Full Course (4 Hours): Build & Ship
Anton Korinek¶
University of Virginia / Brookings
- AI Agents -- Generative AI for Economic Research
- Applications of Generative AI for Economic Research
- Generative AI for Economic Research (JEL 2023)
- LLM Collaboration and Reasoning
Antonio Mele¶
London School of Economics
- Awesome Econ AI Stuff: AI Skills for Economists
- ChernyCode: Boris Cherny's Productivity Tips
- Learn About AI Coding Agents
Arin Dube¶
Arvind Narayanan¶
Knight First Amendment Institute, Columbia
- AI as Normal Technology (with Sayash Kapoor)
Benjamin Bratton¶
Google Paradigms of Intelligence Team / Antikythera Berggruen Institute / UCSD
- Agentic AI and the Next Intelligence Explosion (with James Evans & Blaise Agüera y Arcas)
Benjamin Golub¶
Northwestern / refine.ink
- Prompting Insights: Modern AI for Economics Research
- Refine.ink: AI-Powered Referee Reports for Academic Papers
- Using LLMs with Cursor
Benjamin Kohler¶
ETH Zurich
- Read the Paper, Write the Code (with Zollikofer, Einsiedler, Hoyle & Ash)
Blaise Agüera y Arcas¶
Google Paradigms of Intelligence Team / Antikythera
- Agentic AI and the Next Intelligence Explosion (with James Evans & Benjamin Bratton)
Brian Heseung Kim¶
Charles Yang¶
Renaissance Philanthropy
Chris Blattman¶
University of Chicago
- Academic Tax Basics
- Agents vs Skills
- Agentic Everything
- Building an AI Executive Assistant
- AI for Professionals Who Don't Code
- AI Project Folders
- Architecture Patterns
- Claude Code Adoption (X Post)
- Building Skills
- Build Your Own
- Chatbot Essentials
- Chatbots Done Right
- ChatGPT vs Claude
- Compilation, Categorization, and Multi-Year Review
- Continuous Improvement
- The Cost Reality
- Document Collection
- Example: Organizational Noise Canceling
- Example: Project Dashboard
- Example: Research Design & Progress Document
- Install Claude Code (Mac)
- Install Claude Code (Windows)
- MCP Setup
- Meeting Transcription
- NotebookLM
- Patterns
- Privacy, Data, and Setup Decisions
- Project Management with AI
- Prompt Engineering
- Prompt, Plan, Review, Revise
- A Real CLAUDE.md -- Annotated Example
- Set Up VS Code for Claude Code
- Skill Library
- Starter Templates
- Stress-Test Any Plan
- Using Claude Code for Tax Season
- Teaching AI Your Voice
- From Claude Code Skeptic to Power User
- Voice Dictation
- What AI Got Wrong
- When to Get Help (Tax Professional Escalation)
- Workflow Overview
- Workflows
- Your CLAUDE.md
Claes Bäckman¶
Aarhus University
Daniel de Kadt¶
London School of Economics
David Karpf¶
David Van Dijcke¶
David Zollikofer¶
ETH Zurich
- Read the Paper, Write the Code (with Kohler, Einsiedler, Hoyle & Ash)
Dylan Matthews¶
Vox / Future Perfect
Edward Cheng-I Wu¶
Elliott Ash¶
ETH Zurich
- Read the Paper, Write the Code (with Kohler, Zollikofer, Einsiedler & Hoyle)
Emily Beam¶
Department of Economics, University of Vermont
- Thinking with Agents (UVM Agentic AI Bootcamp) (with Erkmen G. Aslim)
- Agentic AI Bootcamp — Session 1: From Chat to Autonomous Agents (with Erkmen G. Aslim)
- Agentic AI Bootcamp — Session 2: Research Workflows, Teaching & Applications (with Erkmen G. Aslim)
Erkmen G. Aslim¶
Department of Economics, University of Vermont
- Thinking with Agents (UVM Agentic AI Bootcamp) (with Emily Beam)
- Agentic AI Bootcamp — Session 1: From Chat to Autonomous Agents (with Emily Beam)
- Agentic AI Bootcamp — Session 2: Research Workflows, Teaching & Applications (with Emily Beam)
Ethan Mollick¶
Wharton School, University of Pennsylvania
- Claude Code and What Comes Next
- Claude Dispatch and the Power of Interfaces
- A Guide to Which AI to Use in the Agentic Era
- The Shape of AI: Jaggedness, Bottlenecks and Salients
- Sign of the Future: GPT-5.5
Fatih Kansoy¶
University of Oxford
Halil Kaan Canan¶
Ingar Haaland¶
NHH / CESifo
Isaiah Andrews¶
MIT Economics
James Evans¶
Google Paradigms of Intelligence Team / U Chicago / Santa Fe Institute
- Agentic AI and the Next Intelligence Explosion (with Benjamin Bratton & Blaise Agüera y Arcas)
Jesus Fernandez-Villaverde¶
Jie Ding¶
AIScientists-Dev
Johanna Einsiedler¶
University of Basel
- Read the Paper, Write the Code (with Kohler, Zollikofer, Hoyle & Ash)
Joshua Gans¶
Joshua Tucker¶
Brookings Institution
- The Train Has Left the Station (with Solomon Messing)
Markus Brunnermeier¶
Princeton University
- Refine.ink: AI-Powered Referee Reports (with Benjamin Golub)
- Using LLMs with Cursor (with Benjamin Golub)
Matt Shumer¶
Matt Van Horn¶
Mihail Velikov¶
Penn State, Smeal College of Business
- AI-Powered (Finance) Scholarship (with Robert Novy-Marx)
- AI for Business & Economic Research: From Chatbots to Agents
- EDHEC Master Class: Using AI for Research
Mushtaq Bilal¶
- Claude Code 101 for Academic Researchers
- Claude Code 102 for Academic Researchers
- Codex 101 for Academic Researchers
- Codex 102 for Academic Researchers
- Claude Code 103 for Academic Researchers
- Claude Code 104: Building Your AI-Powered Research Management System
- A Beginner's Guide to Claude Code for (Non-Technical) Academics
Panos Ipeirotis¶
Paul Goldsmith-Pinkham¶
- AI One-Shot Papers
- Claude Container: A Complete Beginner's Guide
- Data Analysis: Claude Code for Economists
- From EDGAR Filings to a Structured Database
- From an Empty Folder to a Figure
- Getting Started: Claude Code for Economists
- Getting Started with Claude Code: A Researcher's Setup Guide
- Research in the Time of AI
- Large Datasets and Structured Databases: Claude Code for Economists
- Large Datasets: Claude Code for Economists (Video)
- Web Scraping: Claude Code for Economists
- Writing & Thinking: Claude Code for Economists (Markus Academy 162-5)
- Writing & Thinking with AI Assistance (companion Substack post)
- Permissions & OpenClaw: Claude Code for Economists (Markus Academy 162-7)
- Permissions, Sandboxes, and Autonomous Agents (Substack companion)
- Skills: Claude Code for Economists (Markus Academy 162-6)
- Skills: Specifying How an Agent Should Think (Substack companion)
Pedro Sant'Anna¶
Piotrek Orlowski¶
Rich Sutton¶
University of Alberta
Robert Novy-Marx¶
University of Rochester
- AI-Powered (Finance) Scholarship (with Mihail Velikov)
Sayash Kapoor¶
Knight First Amendment Institute, Columbia
- AI as Normal Technology (with Arvind Narayanan)
Siyang Liu¶
Scott Cunningham¶
Baylor University
- How to Encourage Adoption of AI Among Faculty
- Claude Code Changed How I Work (Part 1)
- Claude Code Changed How I Work (Part 2)
- Claude Code Changed How I Work (Part 3)
- Claude Code Changed How I Work (Part 4)
- Claude Code Changed How I Work (Part 5)
- Part 6: Video Explainer of Claude Code in Action
- Part 7: Making Beautiful Decks For My Future Self
- Part 9: .bib Files and Automating Article Retrieval
- Part 10: Producing Highly Effective Decks
- Part 11: Use This Prompt to Make a Deck
- Part 12: How I Use Claude Code for Empirical Research
- Part 13: Skills and the Split-PDF Workflow
- Part 14: PNAS Replication with Batch API (Part 1)
- Part 15: PNAS Replication Results (Part 2)
- Part 16: The Memory Foam Mattress Theory
- Part 17: The Zero Profit Condition Is Coming
- Part 21: Attention, Verification and Congestion
- Part 21: Faculty Adoption of AI
- Part 24: Multiple Agents Auditing Your DiD Code
- Part 25: More Autonomous Agents Are Coming
- Part 27: Research and Publishing Are Now Two Different Things
- Part 29: Can Claude Code Find Facts?
- Part 31: The Satisfaction in Discovering
- Part 32: A Modest Proposal for Editors
- Part 33: Help Claude Help Us By Continue Learning
- Part 38: A Plug for Goldsmith-Pinkham's Markus Academy Series
- Part 44: Four Criteria for Using Agents (Referee Reports)
Social Catalyst Lab¶
Solomon Messing¶
Brookings Institution
- The Train Has Left the Station (with Joshua Tucker)
Tyler Cowen¶
George Mason University / Marginal Revolution
Vincent Gregoire¶
Will Douglas Heaven¶
MIT Technology Review