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About Us

About Stabilarity Research Hub

Stabilarity Research Hub is an open-access scientific platform for research at the intersection of artificial intelligence, economics, and data science. We publish academic and community-reviewed work, build open-source research tools, and provide free API access to AI systems developed by our team.

The hub originated from the MedAI Hackathon 2025 in Odessa, Ukraine and operates under the institutional affiliation of Odesa National Polytechnic University (ONPU), Department of Economic Cybernetics and Information Technologies, with legal representation by Stabilarity OU (Estonian Registry: 17150040).


Research Team

Researcher Role & Affiliation ORCID
Oleh Ivchenko Lead Researcher · PhD Candidate, Economic Cybernetics, ONPU · Innovation Tech Lead, Capgemini Engineering 0000-0002-9540-1637
Dmytro Grybeniuk Co-Researcher · Anticipatory Intelligence, predictive system architecture 0009-0005-3571-6716
Iryna Ivchenko Co-Researcher · Intellectual Data Analysis, knowledge extraction, data mining taxonomy 0000-0002-1977-0342

Research Areas

The hub maintains active research series across multiple domains. Each series is archived on Zenodo with permanent DOIs.

Series Focus
Medical ML Diagnosis Machine learning in healthcare imaging, diagnostic accuracy, and clinical decision support
AI Economics Economic frameworks for AI investment, ROI modelling, and enterprise decision-making
Cost-Effective AI LLM deployment strategies, model selection, and efficient AI patterns for production
Anticipatory Intelligence Predictive systems, forecasting methodologies, and proactive decision frameworks
Intellectual Data Analysis Data mining taxonomy, pattern discovery, and knowledge extraction
Geopolitical Risk Intelligence 87-country geopolitical risk quantification and cross-domain scientific synthesis
Future of AI Emerging trends, long-range implications, and the evolving AI landscape
Spec-Driven Development Formal specification methods and structured approaches to reliable systems
HPF-P Heuristic Prediction Framework for pharmaceutical decision readiness and portfolio scoring
AI Observability Monitoring, tracing, and explainability for production AI systems

Publishing Standards

Zenodo DOI Registration

Every paper published on Stabilarity Hub is permanently archived on CERN Zenodo with an immutable DOI. This ensures long-term citability, version tracking, and integration into global citation networks.

Citation Standards (2026)

Publications in primary research series must meet the 80% 2026 citation rule — at least 80% of cited sources must originate from 2026 or later, ensuring engagement with the current state of the field.

Peer Review Threshold

Research series designated as academic require editorial review and community critique before addition to the canonical Zenodo archive. The review process is documented and transparent.


Open Research Tools

Beyond publications, the hub develops and maintains working AI systems freely accessible to researchers.

ScanLab Medical AI

Six diagnostic models for medical imaging, including chest X-ray and retinal scan analysis. Open inference API for researchers.

HPF-P Portfolio Optimizer

Pharmaceutical decision readiness scoring based on the HPF = DRI + DRL framework. Supports portfolio prioritisation and pipeline decisions.

Geopolitical Risk Dashboard

87-country geopolitical risk index updated quarterly. Quantified scoring across political, economic, and conflict dimensions.

API Gateway

Free API access to all Stabilarity AI systems for researchers. Enables reproducible, API-driven experiments. No registration fee.


Scientific Philosophy

  • Open by default. All publications are free, publicly accessible, and permanently registered with DOIs.
  • Post-facto moderation. Research is published directly and reviewed after publication, enabling rapid scientific discourse.
  • Author accountability. Authors are responsible for accuracy and integrity. Fabrication or plagiarism results in removal.
  • Community critique. Every publication is subject to public critique. This is a feature, not a limitation.
  • Reader responsibility. Readers are responsible for independent verification before acting on any published information.

Collaboration & Contact

We welcome collaboration with researchers, institutions, and practitioners working in AI, economics, or adjacent fields. If you are interested in contributing to an active research series, co-authoring a publication, or integrating our tools into your research workflow, please reach out.

  • Join the community: Register for free
  • API access: Get your free API key
  • ORCID profiles listed above for direct academic contact

Platform Integrity & Research Infrastructure

Stabilarity Research Hub was built by a research community that values transparency, reproducibility, and long-term accessibility. Every system described below is operational and verifiable.

Capability Implementation
Regular Backups Full-system backups (WordPress, database, research files, configuration) stored independently from the production server. Restorable via single-command script.
Blue/Green Mirror Mirror server provisioned from the latest backup for disaster recovery. Enables near-zero-downtime restoration if the primary instance fails.
Full Version Control All research tools and platform code are maintained under Git version control with public repositories on GitHub (github.com/stabilarity). Article content is tracked through WordPress revision history — every edit is logged with timestamp, author, and diff. Currently tracking 1,300+ revisions across 250+ publications.
Article Version History Every published article displays a transparent version history widget showing all revisions, editorial changes, and content evolution from first draft to current version. Publicly visible to all readers.
Responsive Design All pages, tools, and interactive applications are fully adaptive for mobile, tablet, and desktop. Tested across viewport sizes with consistent reading experience.
Uptime & Accessibility Platform maintains 98%+ uptime with monitoring. HTTPS enforced via Let’s Encrypt TLS. All content accessible without registration or paywall.
Reference Tracking System Database-backed reference manager tracking 3,000+ external citations across all publications. Link validation, content caching, DOI verification via CrossRef, and duplicate detection via content similarity analysis.
Zenodo DOI Registration Every publication is registered on Zenodo with a permanent DOI (10.5281/zenodo.*), ensuring long-term citability independent of this platform. Currently 210+ articles with DOIs assigned.

Editorial Review Process

Every publication undergoes a structured post-publication moderation period:

  • 30-day review window. Each paper is actively moderated for one month from publication date.
  • Editorial team: Iryna Ivchenko and Oleh Ivchenko — representing direct involvement of the ONPU Department of Economic Cybernetics and Information Technologies in the review process.
  • Quality standards. Citation freshness (80% from current year), compliance checks, scientific value scoring, and format consistency are enforced as community rules on every article.
  • Transparent revisions. All editorial changes are logged in the article’s version history, visible to readers.

This process is designed to support the transition from preprint to external journal submission (Scopus, Web of Science, Springer, IEEE). The review period strengthens each paper before formal peer review.


Compliance Readiness

The platform is prepared for compliance with the following standards and frameworks:

Standard Status Scope
OWASP Top 10 Prepared for compliance HTTPS enforcement, input sanitization, authenticated admin access, dependency updates, no known injection vectors
FAIR Data Principles Substantially compliant Findable (DOIs + search), Accessible (open access, no paywall), Interoperable (standard formats, API), Reusable (Zenodo archive, open licensing)
Plan S / Open Access Compliant All publications immediately open access with no embargo period. Permanent DOIs via Zenodo.
WCAG 2.1 (Level AA) Prepared for compliance Semantic HTML, sufficient contrast ratios, responsive layout, keyboard navigation support
GDPR Prepared for compliance No user tracking cookies without consent. Matomo analytics with IP anonymization. No personal data collection beyond voluntary API registration.
CII Best Practices Prepared for compliance Open source repositories with version control, issue tracking, and documented contribution guidelines (Linux Foundation Core Infrastructure Initiative)

Hub Release Notes

+
v3.5.0 — Trust Score and Reference Evaluation March 20, 2026
  • Trust Score: composite 0-100 metric for article reference quality, visible on all article previews, series pages, and article pages
  • Clickable score badge with full formula breakdown popup showing all 6 weighted metrics
  • Green verified score for editorially approved articles
  • Reference Trust Analyzer: public tool to evaluate reference quality of any article by URL
  • Reference Evaluation System documentation page with complete methodology
  • Mermaid diagrams: soft pastel color scheme (cream, pale blue, sage, lavender)
  • Article links: italic with dotted underline site-wide, including citation blocks
  • Removed all emoji from article content (329 posts cleaned)
  • Removed “Peer-Reviewed” claims — replaced with “Academic Research” across 31 posts
  • AI Memory series: full widget support (badges, series navigation, preview cards)
  • Writer cron: series continuity requirement — Article 2+ must reference previous findings
  • Menu restructuring: GRI dashboard moved to Tools
v3.1 — March 2026
  • Reference Manager: database-backed tracking of 3,000+ external citations with DOI verification, content caching, and similarity detection
  • Article Version History v3.1: transparent revision tracking on every published article
  • Rework marker system for editorial workflow
  • Shadow Economy of Ukraine research series (3 papers)
  • Universal Intelligence Benchmark (UIB) series and tool
  • All tool pages made fully responsive (mobile/tablet/desktop)
  • Default typography system (rf-journal) applied site-wide
v3.0 — March 2026
  • Open Humanoid research series (13 articles)
  • GRI page reworked to single scrollable report
  • All research series index pages reworked to journal-style schema
  • Series navigation widget with article list and stats
  • GitHub repositories restructured (stabilarity/hub as single public repo)
  • API Gateway with proxy routing
v2.0 — February 2026
  • Zenodo DOI registration for all publications
  • Marketing syndication (Telegraph, Rentry)
  • Matomo analytics integration
  • HPF-P Framework series and portfolio optimization tool
  • AI Adoption Gap Monitor, AI Use Case Classifier
v1.0 — January 2026
  • Initial launch: Medical ML Diagnosis series (43 articles)
  • ScanLab Medical AI tool with 6 diagnostic models
  • Geopolitical Risk Dashboard (World Stabilarity Index)
  • Open-access research platform with free API
Disclaimer

Individual publications represent the views of their respective authors and do not constitute the official position of Stabilarity OU or ONPU. The hub does not guarantee the accuracy, completeness, or reliability of any individual publication. Readers should verify sources independently and consult qualified professionals before acting on any information published here.

Recent Posts

  • Fresh Repositories Watch: Cybersecurity — Threat Detection and Response Frameworks
  • Real-Time Shadow Economy Indicators — Building a Dashboard from Open Data
  • The Second-Order Gap: When Adopted AI Creates New Capability Gaps
  • Neural Network Estimation of Shadow Economy Size — Improving on MIMIC Models
  • Agent-Based Modeling of Tax Compliance — Simulating Government-Citizen Interactions

Research Index

Browse all articles — filter by score, badges, views, series →

Categories

  • ai
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  • Future of AI
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  • innovation
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  • Medical ML Diagnosis
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  • Spec-Driven AI Development
  • Technology
  • Trusted Open Source
  • Uncategorized
  • Universal Intelligence Benchmark
  • War Prediction

About

Stabilarity Research Hub is dedicated to advancing the frontiers of AI, from Medical ML to Anticipatory Intelligence. Our mission is to build robust and efficient AI systems for a safer future.

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  • AI Economics
  • Cost-Effective AI
  • Anticipatory Intelligence
  • Data Mining
  • 🔑 API for Researchers

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Email: contact@stabilarity.com

© 2026 Stabilarity Research Hub

© 2026 Stabilarity Hub | Powered by Superbs Personal Blog theme
Stabilarity Research Hub

Open research platform for AI, machine learning, and enterprise technology. All articles are preprints with DOI registration via Zenodo.

185+
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8
Series
DOI
Archived

Research Series

  • Medical ML Diagnosis
  • Anticipatory Intelligence
  • Intellectual Data Analysis
  • AI Economics
  • Cost-Effective AI
  • Spec-Driven AI

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