Mexico Scientific Intelligence

Useful regional intelligence cannot be a polished score with an invisible origin. Mexico Scientific Intelligence is an evidence-first product experiment: every profile, comparison, and opportunity hypothesis should remain connected to its source, transformation method, geography, date, and confidence boundary.

The work began as an interactive country platform. Its reusable core is now being published as an open research asset so that researchers, civic technologists, data teams, and regional institutions can inspect the method and improve it.

The public repository contains the Hadox-authored reference core rather than a dump of the retired deployment. It includes platform and module contracts, evidence and data-quality workflows, country-method documentation, reproducible enrichment utilities, and the concept note generated from that maintained source.

This is a contribution-ready foundation, not a turnkey production SaaS release. The repository makes the analytical architecture inspectable while the operational product is rebuilt with clearer security, provenance, and publication boundaries.

• Evidence layer: source ledgers record origin, coverage, update dates, licensing, and known limitations.
• Method layer: derived indicators declare their inputs and transformations instead of hiding judgment inside an opaque score.
• Product layer: state, city, science, and business modules consume shared evidence contracts while remaining independently evolvable.
• Governance layer: quality checks, audit records, and human approval separate exploratory signals from publishable claims.

The intended output is not simply a dashboard. It is a repeatable system for producing defensible regional briefs, opportunity screens, and investment narratives whose evidence can be challenged and updated.

The country implementation explored state and regional capability profiles, comparisons across scientific and economic signals, and structured opportunity narratives. It also established reusable contracts for report registries, source health, derived indicators, and agent-assisted research workflows.

A future maintained release can connect governed public data, institution-provided evidence, and reviewed analytical agents without confusing an automatically generated lead with a verified fact.

The open release excludes raw personal or client data, credentials, private databases, operational archives, generated confidential reports, and third-party premium interface assets. Those exclusions are intentional: open collaboration should not require publishing sensitive evidence or redistributing software that Hadox does not own.

The original full deployment remains archived privately for recovery and provenance. The public repository starts from clean history and contains only material suitable for open reuse.

Useful contributions include new public-data adapters, tests for provenance and geography, transparent indicator methods, accessibility improvements, public-safe example datasets, and documentation that makes limitations easier to audit. Proposed changes can begin as a GitHub issue and mature through a reviewed pull request.

Hadox-authored code and documentation in the public repository are available under the Apache License 2.0, with attribution and NOTICE requirements described in the repository. Data sources, trademarks, and third-party materials retain their own terms and are not relicensed by the project.