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# SPDX-License-Identifier: CC-BY-SA-4.0
# CITATION.cff — citation metadata for GSBot (academia / research reuse)
cff-version: 1.2.0
message: "If you use GSBot or its architecture in academic work, please cite it as below."
title: "GSBot: A Neurosymbolic Pareto-Optimal Garment Sustainability Bot for Triple-Bottom-Line Fashion and Textiles Decision Support"
abstract: >-
GSBot (the Garment Sustainability Bot) is an open-source neurosymbolic
(Kautz-6) chat and dashboard for fashion and textiles specialists,
delivering materials-science and engineering-grade sustainability
analysis across environmental (water, carbon, energy, chemicals,
biodegradability), social (fair labour, safety, transparency) and
economic (price-per-wear, durability-weighted cost) axes. It exposes
Pareto-optimal non-dominated trade-off surfaces, a detachable
assembly panel for swappable ecological-vs-economic bill-of-materials
recomputation, an open-standards catalogue/safety feed backbone (RSS,
Atom, ActivityStreams 2.0, schema.org, GS1, Open Apparel Registry,
ECHA REACH), a stable C-ABI verification seam for SPARK/Ada, and a
pilot of the Eclexia domain language on top of a verisimdb/kyaml
core target.
type: software
authors:
- family-names: Jewell
given-names: Jonathan D. A.
orcid: "https://orcid.org/0000-0002-3078-6652"
email: j.d.a.jewell@open.ac.uk
affiliation: "The Open University; hyperpolymath"
identifiers:
- type: url
value: "https://github.com/hyperpolymath/gsbot"
repository-code: "https://github.com/hyperpolymath/gsbot"
url: "https://hyperpolymath.github.io/gsbot"
license: MPL-2.0
version: 0.3.0
date-released: 2026-09-27
keywords:
- sustainability
- fashion
- textiles
- life-cycle-assessment
- pareto-optimality
- triple-bottom-line
- neurosymbolic
- open-standards
- circular-economy
- supply-chain