"Algorithmic Neighborhood — Local Marketplace Blueprint"

Local_Algorithmic_Marketplace_Public_Description_v1.0 title: "Algorithmic Neighborhood — Local Marketplace Blueprint" version: "1.0.0" author: "Winfried Brückner · ruahAI" license: "CC BY-ND 4.0 + ruahAI Tier-System" stance: ["civil_use_only","data_free_first","audit_by_design"] The Local Algorithmic Marketplace is a data-free, community-oriented governance framework that enables people, small enterprises, and civic institutions to exchange algorithmic or human services without centralized platforms. It defines structure, ethics, and audit routines, but contains no executable code or operational endpoints. Designed for local resilience, fairness, and transparent value creation, the blueprint connects citizens, energy utilities, and municipal nodes through lightweight YAML schemas and clear contractual workflows. It can be interpreted by humans or tools but performs no automated processing on its own. Suitable for research, civic prototyping, and open documentation purposes. keywords: - ruahAI - Algorithmic Neighborhood - local-marketplace - governance - data-free - audit-by-design - offline-first - ethics - community - blueprint - non-executable - YAML This document is a conceptual, non-executable specification. It does not include active software, APIs, or personal/infrastructure data. Any practical implementation should follow local privacy, energy, and security regulations. The publication serves as intellectual disclosure and public record under CC BY-ND 4.0 + ruahAI Tier-System licensing.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-11-10
DOI
https://doi.org/10.5281/zenodo.17574928
Primary Topic
Smart Cities and Technologies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

"Algorithmic Neighborhood — Local Marketplace Blueprint"

Zenodo (CERN European Organization for Nuclear Research)
Smart Cities and Technologies
article

"Algorithmic Neighborhood — Local Marketplace Blueprint"

article en

Abstract

Local_Algorithmic_Marketplace_Public_Description_v1.0 title: "Algorithmic Neighborhood — Local Marketplace Blueprint" version: "1.0.0" author: "Winfried Brückner · ruahAI" license: "CC BY-ND 4.0 + ruahAI Tier-System" stance: ["civil_use_only","data_free_first","audit_by_design"] The Local Algorithmic Marketplace is a data-free, community-oriented governance framework that enables people, small enterprises, and civic institutions to exchange algorithmic or human services without centralized platforms. It defines structure, ethics, and audit routines, but contains no executable code or operational endpoints. Designed for local resilience, fairness, and transparent value creation, the blueprint connects citizens, energy utilities, and municipal nodes through lightweight YAML schemas and clear contractual workflows. It can be interpreted by humans or tools but performs no automated processing on its own. Suitable for research, civic prototyping, and open documentation purposes. keywords: - ruahAI - Algorithmic Neighborhood - local-marketplace - governance - data-free - audit-by-design - offline-first - ethics - community - blueprint - non-executable - YAML This document is a conceptual, non-executable specification. It does not include active software, APIs, or personal/infrastructure data. Any practical implementation should follow local privacy, energy, and security regulations. The publication serves as intellectual disclosure and public record under CC BY-ND 4.0 + ruahAI Tier-System licensing.

Zenodo (CERN European Organization for Nuclear Research)
Industry, innovation and infrastructure
Openalex Percentile: Top 38%
Smart Cities and Technologies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.