Three generations of one instrument.

First quantitative Fab City Index. A priority × self-sufficiency lattice scored 0–100, applied to roughly 600 French urban areas. LOCAL SHIFT® urban-economy simulator and LOCAL FOOTPRINT® Nature material-flow methodologies (Utopies proprietary) underneath. Vincent Guimas was FabCity Paris when he co-authored the report — this work was inside the movement, not external to it. Paris 37.58; Lyon 34.30; Strasbourg 21.61; 95 % of French urban areas under 10/100. The convergence with Hamburg six years later tells you these numbers are not about France either.

Other key findings from the 2018 report worth not losing: the average French city produces only 3.1 % of what its population consumes (€3 of every €100). Annual household goods consumption across French metros ranges €1,700–4,100 per inhabitant. Nantes Métropole's material footprint: 9.27 Mt of raw material extraction per year, 15 t / inhabitant, with 85 % extracted outside France. The manufacturing multiplier collapsed from €103 in 1970 to €59 in 2015 per €100 of manufactured goods. Forty strategic priority sectors identified across the 50 largest French cities.

Extended the Generation 1 construct via NACE Rev. 2 × COICOP concordance over public open data, 16 macro-sectors, 0–100 scoring. Published Open Access in Springer's Global Collaboration, Local Production — the volume Neil Gershenfeld wrote the foreword for, in which the diagnosis is exactly the gap FCI 3.0 addresses: cities participating in the 2054 countdown lack the data infrastructure to evaluate their own progress.

Hamburg landed at 37/100. Six years apart, two statistical systems, two different cities — Paris and Hamburg within 0.58 points of each other. That convergence is the public-data ceiling for major Western metropolises at the Economic × City / Region cell, and is the load-bearing observation FCI 3.0 was built around.

Three specific extensions over Generations 1 and 2. First, scale: from a single Economic × City / Region cell into the full 4-pillar × 5-scale matrix scaffolded by Vivanco (2024–25). Second, vocabulary and aggregation: the founding Fab City pair PITO and DIDO — coined by Vicente Guallart and Neil Gershenfeld in the early Barcelona Fab City period, documented in the Fab City Whitepapers (Diez, 2014, 2016) — repurposed as a two-axis narrative compression of the matrix, each cell carrying a documented weight summing to 1. Third, response coefficient ρ (rho) — how fast a city turns what it learns into action: a coupled action layer that measures observation-to-action latency at the appropriate governance tier, turning the index from a snapshot into a metabolism.

The four pilots: Barcelona (IAAC anchor, Mediterranean bioregion), Boston (MIT Center for Bits and Atoms, North Atlantic bioregion), Santiago (UC Chile, Southern Cone), Bali (CAST / MDG / IT Del, Indonesian Archipelago bioregion). Two pre-registered falsifiable hypotheses: H₀-T (material throughput threshold via PITO) and H₀-A (action latency via ρ). Boeing's 37/100 and Utopies' 37.58/100 are recovered exactly as the single-cell, snapshot, ρ-implicit projection of the full index.