empirical-design

What problem does it solve?

It converts your already-ingested empirical knowledge into a concrete research design that connects the literature to variables, data, identification, and an executable robustness plan—so you stop assembling study proposals from scratch.

Core Features & Use Cases

• Workflow-aware empirical blueprint: Produces a full design covering research question, mechanisms, hypotheses, variable construction, data/sample strategy, baseline model, identification, mechanism checks, heterogeneity, robustness, and expected tables.
• Traceable literature-grounding: Forces key claims to be tied back to specific wiki pages using cross-references like [[耐心资本]] to distinguish “literature precedent” from “project proposal”.
• Data gap transparency: Flags missing local information explicitly and avoids pretending that insufficient data can support an identified plan.

Quick Start

Ask the assistant to run /empirical-design with your current wiki context to generate a complete empirical research design and archive it under wiki/outputs.