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ai-augmented-economist

Integrate AI tools into economic research, teaching, and policy analysis with attention to privacy and reproducibility.

Published by brycewang-stanford ↗brycewang-stanford/Auto-Empirical-Research-Skills

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ai-augmented-economist

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Use ai-augmented-economist to propose an AI integration plan and reproducible data-pipeline design for [project context], including privacy safeguards, tool-selection criteria, validation steps, and model-monitoring documentation; do not send personally identifying data to external models.

Required inputs

  • [project context]

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SKILL.md

name: ai-augmented-economistdescription: Integrate AI tools into economic research, teaching, and policy analysis with attention to privacy and reproducibility.owner: Vera / Personaltags: [AI, research, teaching]triggers: ["use AI tools","automate analysis","AI in economics"]inputs:   - name: project_context    type: string    required: falseoutputs:   - name: integration_plan    type: document  - name: data_pipeline_design    type: documentexamples:   - prompt: |      Propose an AI integration plan for a small research team analyzing childcare data.    expected: |      Tool choices, privacy safeguards, reproducible pipeline, and SLA for model updates.guardrails: |  Do not upload personally identifying data to external models; document training data provenance.

Purpose

Provide a stepwise approach to choose AI tools, build secure data pipelines, and apply AI methods responsibly in economics work.

Workflow

  1. Assess tasks suitable for AI augmentation
  2. Select tools considering privacy and licensing
  3. Build reproducible data pipelines and artifact tracking
  4. Validate outputs against domain knowledge and econometric checks
  5. Monitor models and document assumptions
ai-augmented-economist by brycewang-stanford · The Skill Leaderboard