@recomputableevidence
Independent researcher developing reproducible methods for examining evidence, historical continuity, and justified reliance in AI-assisted systems. Founder of NGAST and Fork.
https://orcid.org/0009-0000-7863-5792$0 in pending offers
I conduct independent research through NextGen Advanced Systems & Technologies (NGAST), investigating how evidence, meaning, authority, and justified reliance change across time, contexts, and relationships.
My research includes LexiFORM, an executable experimental lineage examining compositional interpretation and evidence-qualified relationships, and Evidence Standing Diagnostic 001, a published synthetic two-model investigation of historical versus current evidentiary standing.
I also develop Fork, an independent initiative focused on preserving recomputable evidence of AI-assisted workflows.
My approach emphasizes reproducibility, explicit limitations, preservation of negative findings, and critical examination rather than predetermined conclusions.
I am seeking support for independently challengeable research, including external semantic examination, controlled experiments, and openly accessible scientific publications.
Published research:
LexiFORM: https://doi.org/10.5281/zenodo.23466511
Evidence Standing Diagnostic 001: https://doi.org/10.5281/zenodo.23480962
Research repository: https://github.com/RecomputableEvidence/lexiform-research
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