Provenance first
Research outputs should retain enough source context, timestamps, identifiers, and integrity information to be independently reviewed.
Independent research & development
Build carefully.
Verify everything.
Signal Forge Research develops practical tools and reproducible methods for working with public data, provenance, research workflows, and privacy-conscious software.
Signal Forge Research
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About Signal Forge Research
Signal Forge Research is an independent, non-commercial research and development project focused on transparent methodology, source provenance, reproducibility, and careful handling of data.
Reproducible methods
Workflows are designed so that research steps can be documented, repeated, tested, and improved over time.
Responsible tooling
Projects emphasize lawful access, data minimization, careful attribution, privacy, and clear separation between facts and inference.
Current projects
The project is being built incrementally, with each component tested independently before being incorporated into larger workflows.
Signal Forge OSINT
A Python-based framework for querying lawful public-data and OSINT sources, preserving provenance, and producing structured research outputs suitable for review and correlation.
Project Banking App
A personal financial reconciliation and recordkeeping project designed to work with permissioned financial data, maintain local transaction history, reconcile pending and posted activity, and independently calculate balances while preserving audit integrity.
Working principles
These principles guide how Signal Forge Research approaches software, public data, and research documentation.
Traceable
Keep source and retrieval context whenever practical.
Reviewable
Prefer transparent methods over unexplained conclusions.
Minimal
Collect and publish only what is relevant to the research purpose.
Iterative
Build in small stages, test, document, then expand.
Contact Signal Forge Research
Research, project, and technical correspondence: research@signalforgeresearch.com