Method note

How FrontierGraph works

The system is built around one hard constraint: AI may help convert text into graph structure, but the ranking itself should remain deterministic, inspectable, and open to scrutiny.

1

Build the graph

Papers become directed claim edges between coded economics concepts. This is the only stage where AI is allowed.

2

Score missing links

The engine combines gap signals, path support, motif completion, hub penalties, field distance, and prior contact.

3

Inspect the evidence

Users move from a shortlist to mediators, paths, supporting papers, and exportable idea briefs.

What drives the ranking

Signals

Underexplored concept-pair gaps, path-implied missing direct edges, motif completion, low prior contact, field distance, and hub penalties.

What the beta is not doing

Current scope

No user accounts, no saved agendas, no downstream impact forecasting, and no custom frontend beyond Streamlit yet.

Stance

Tool, not oracle

FrontierGraph is designed to assist judgment, not replace it. It surfaces structured opportunities and exposes the evidence.