**[Community Fork] MiroFish-IT — European institutionally-calibrated fork (Eurostat, ISTAT, ESS, Hofstede at NUTS-2)**

[Blubobo1010]

Hi everyone,

I've been working on a fork that adds institutional calibration for European (specifically Italian) synthetic populations and wanted to share it with the community.

What it does:
MiroFish-IT adds an Institutional Calibration Framework (ICF) on top of the original engine. Each simulated agent receives a regional profile calibrated on real EU institutional data at NUTS-2 granularity:

• Economic layer: Eurostat SDMX (GDP, PPS, employment by NUTS-2 region) + Banca d'Italia IBF (household wealth and savings)
• Cultural layer: Hofstede 6D dimensions + Schwartz values from European Social Survey (Round 10)
• Demographic/behavioral layer: ISTAT regional data (education, lifestyle, internet access)

The result: an agent from Lombardia and one from Campania receive different economic and cultural parameters based on real institutional data — not generic prompting.

What's included:

• calibration_service.py — ICF calibration engine with all 21 Italian NUTS-2 regions
• oasis_profile_generator.py — modified to inject ICF context into agent persona generation
• Pre-processed calibration profiles in JSON (calibration_profiles.json, calibration_texts.json)
• Data pipeline scripts to download/refresh from Eurostat, ISTAT, Banca d'Italia, ESS
• Italian UI translation
• Pre-configured demo scenario: Superbonus 110% regional debate (7 agents across 5 Italian regions)

All data sources are open and free (Eurostat SDMX API, ISTAT REST, Banca d'Italia open data, ESS ERIC open data).

Repo: https://github.com/Blubobo1010/MiroFish-IT

The framework is designed to be replicable for any EU country covered by Eurostat + ESS — the same calibration architecture applies to Germany, France, Spain, etc. with country-specific data.

I'm also working on an academic paper validating the calibration accuracy against historical Italian datasets — will share when it's ready.

Happy to answer questions, and open to contributions from others working on non-English/non-US synthetic populations.

— Andrea

[lordpba]

Hi! Is very similar of what I am doing :)

https://github.com/lordpba/CivesAI