AI经济学思维工具包

为"魔鬼经济学特训营"学员定制 | DESIGNED FOR FREAKONOMICS BOOTCAMP

"在这里，每个经济学问题都是一串待破解的代码，每个商业决策都是一场可迭代的实验。"

"HERE, EVERY ECONOMIC QUESTION IS CODE TO CRACK, EVERY BUSINESS DECISION AN EXPERIMENT TO ITERATE."

核心目标

CORE OBJECTIVES

  • 双重赋能：用AI工具解构经济学逻辑，培养“数据直觉”与“商业嗅觉” | DUAL EMPOWERMENT: AI for Economic Logic, Data Intuition & Business Acumen
  • 真实场景：通过沙盒系统零风险试错，在模拟商业战场中实践理论 | REAL SCENARIOS: Sandbox for Risk-Free Practice in Simulated Markets
  • 思维升级：从被动接受到主动建模验证，掌握“提问-拆解-论证”逻辑 | MINDSET UPGRADE: Master "Question-Deconstruct-Validate" Logic

交付形式

DELIVERY FORMAT

加密U盘 (离线版)

ENCRYPTED USB (OFFLINE)

+

私有云账号 (在线版)

PRIVATE CLOUD (ONLINE + UPDATES)

MODULE 1

数据分析沙盒系统

AI时代的"经济学实验室" | The "Economics Lab" of the AI Era

预装环境

PRE-INSTALLED ENVIRONMENT

  • Jupyter Notebook + Python 3.10+
  • (Pandas, NumPy, Matplotlib, Scikit-learn)
  • Tableau Public (教育版)
  • (内置经济学仪表盘模板 | Built-in econ dashboards)

特色数据集

FEATURED DATASETS

  • 《魔鬼经济学》案例库 | Freakonomics Case Database
  • 动态商业沙盘 (模拟城市) | Dynamic Business Sandbox (SimCity Econ)

AI实验工具

AI EXPERIMENTATION TOOLS

  • 因果推断模拟器 (A/B测试) | Causal Inference Simulator (A/B)
  • 博弈论智能体 (强化学习) | Game Theory Agents (RL)

MODULE 2

商业案例库

从硅谷到华尔街的思维弹药库

CASE STUDY ARSENAL: SILICON VALLEY TO WALL STREET

经典案例

CLASSIC CASES (CODE/DATA INCLUDED)

  • Uber动态定价 | Dynamic Pricing
  • Netflix用户留存 | Retention Strategy
  • Amazon推荐系统 | Recommendation Engine

挑战任务

CHALLENGE TASKS

  • 预测星巴克边际收益 | Predict Starbucks Marginal Revenue
  • 设计TikTok网红定价 | Design Influencer Pricing Model
  • 拆解Meta广告风险 | Analyze Meta Ad Algorithm Risks

MODULE 3

认知加速工具

COGNITIVE ACCELERATORS
  • 思维导图生成器: 关键词 -> 模型+论文+案例 | Mind Map Generator: Keyword to Models+Papers+Cases
  • AI辩论助手: 实时正反方论据 | AI Debate Assistant: Real-time Pro/Con Arguments
  • 行为经济学实验模板: Nudge工具箱+问卷+清单 | Behavioral Econ Experiment Templates: Nudge + Surveys + Checklists

教学场景融合

TEACHING SCENARIO INTEGRATION

  • 课前预习: 沙盒运行案例，生成问题 | Pre-class: Run cases in sandbox, generate questions
  • 课中实战: 1小时破解模型挑战 | In-class: "1-Hour Model Cracking" challenge
  • 课后拓展: 开发AI智能体，参与商战 | Post-class: Develop AI agents, join business simulation league

配套资源

SUPPORTING RESOURCES

  • 学习路径图 | Learning Path Map
  • 24小时AI助教 | 24/7 AI Tutor
  • 学员作品库 | Student Project Showcase