Category: Geopolitical Risk Intelligence

Data-driven political and economic risk predictions. Monitoring public databases, historical analysis, and predictive modeling for community safety.

Geopolitical Risk Scoring Bias: Auditing AI Models for Systematic Regional Skew

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Geopolitical Research
Geopolitical Research by Oleh Ivchenko  ·  DOI: 10.5281/zenodo.22258926  39stabilfr·wdophcgmx
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The topic of Geopolitical Risk Scoring Bias: Auditing AI Models for Systematic Regional Skew represents a significant area of inquiry in contemporary AI research. This article examines Geopolitical Risk Scoring Bias: Auditing AI Models for Systematic Regional Skew through a comprehensive lens, addressing its theoretical foundations, practical implementations, and broader implications. Presents ...

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Geopolitical Research by Oleh Ivchenko DOI: 10.5281/zenodo.22258926 39stabilfr·wdophcgmx
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Hybrid Warfare Signal Intelligence: AI for Detecting Coordinated Disinformation in Critical Infrastructure

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Geopolitical Research by Oleh Ivchenko  ·  DOI: 10.5281/zenodo.22164310  27stabilfr·wdophcgmx
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Score = Ref Trust (25 × 60%) + Required (2/5 × 30%) + Optional (0/4 × 10%)

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Geopolitical Research by Oleh Ivchenko DOI: 10.5281/zenodo.22164310 27stabilfr·wdophcgmx
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AI-Driven Sanction Evasion Detection: Real-Time Monitoring of Illicit Financial Flows

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Geopolitical Research by Oleh Ivchenko  ·  DOI: 10.5281/zenodo.22053107  65stabilfr·wdophcgmx
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Financial sanctions administered by state actors now target algorithmic laundering channels that dynamically reshape network topology. This paper investigates automated detection of sanction evasion through machine l[REDACTED]g, focusing on three core questions:

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Geopolitical Research by Oleh Ivchenko DOI: 10.5281/zenodo.22053107 65stabilfr·wdophcgmx
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AI in Conflict Zone Logistics: Autonomous Supply Chain Optimization Under Adversarial Conditions

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Geopolitical Research by Oleh Ivchenko  ·  DOI: 10.5281/zenodo.21893428  57stabilfr·wdophcgmx
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Score = Ref Trust (61 × 60%) + Required (3/5 × 30%) + Optional (1/4 × 10%)

Autonomous supply chain optimization in conflict-adjacent environments presents unique challenges characterized by adversarial interference, dynamic demand fluctuations, and humanitarian constraints. This article investigates the performance of three algorithmic frameworks—reinforcement l[REDACTED]g-based routing, graph neural network forecasting, and mixed‑integer programming optimization—unde...

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Geopolitical Research by Oleh Ivchenko DOI: 10.5281/zenodo.21893428 57stabilfr·wdophcgmx
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Information Operations Detection: NLP Models for Coordinated Inauthentic Behavior at Scale

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Geopolitical Research by Oleh Ivchenko  ·  DOI: 10.5281/zenodo.21828644  21stabilfr·wdophcgmx
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Coordinated inauthentic behavior (CIB) on social media presents a growing challenge for platform integrity, public discourse, and democratic processes[1]. Recent empirical investigations have demonstrated that malicious actors can amplify false narratives through synchronized account activity, content amplification, and strategic narrative framing[2][3]. While detection frameworks based on netw...

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Geopolitical Research by Oleh Ivchenko DOI: 10.5281/zenodo.21828644 21stabilfr·wdophcgmx
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Space Domain Awareness: AI for Satellite Activity Monitoring and Anti-Satellite Threat Detection

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Geopolitical Research by Oleh Ivchenko  ·  DOI: 10.5281/zenodo.21767438  55stabilfr·wdophcgmx
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The rapid militarization of orbital space has created an urgent need for automated monitoring of satellite behavior. This article presents a comprehensive AI-driven framework for space domain awareness, focusing on satellite activity monitoring and anti-satellite threat detection. We introduce a multi-modal deep l[REDACTED]g architecture that integrates orbital telemetry, optical imaging, and r...

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Geopolitical Research by Oleh Ivchenko DOI: 10.5281/zenodo.21767438 55stabilfr·wdophcgmx
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[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
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Biosecurity Risk Intelligence: AI Models for Pandemic Preparedness and Dual-Use Research Monitoring

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Geopolitical Research by Oleh Ivchenko  ·  DOI: 10.5281/zenodo.21699145  31stabilfr·wdophcgmx
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Pandemic preparedness requires early detection of biological threats through sophisticated AI systems analyzing global health data, genomic sequences, and research activity. This article surveys AI models deployed for pandemic signal detection and dual-use biological research monitoring, evaluating their prediction accuracy, false positive management, and operational integration challenges. We ...

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Geopolitical Research by Oleh Ivchenko DOI: 10.5281/zenodo.21699145 31stabilfr·wdophcgmx
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[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
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Score = Ref Trust (31 × 60%) + Required (2/5 × 30%) + Optional (0/4 × 10%)
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AI-Powered Economic Warfare: Sanctions Evasion Detection in Cross-Border Transactions

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Geopolitical Research by Oleh Ivchenko  ·  DOI: 10.5281/zenodo.21626136  58stabilfr·wdophcgmx
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[t]Trusted100%✓≥80% from verified, high-quality sources
[a]DOI86%✓≥80% have a Digital Object Identifier
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[l]Academic100%✓≥80% from journals/conferences/preprints
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[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.21626136
[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]50%✗≥60% of references from 2025–2026. Current: 50%
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[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (73 × 60%) + Required (2/5 × 30%) + Optional (1/4 × 10%)

Economic sanctions have become a central instrument of geopolitical policy, yet enforcement agencies repeatedly encounter sophisticated evasion schemes that exploit layered corporate structures, blended finance, and digital asset ecosystems. Traditional rule‑based screening tools struggle with the combinatorial explosion of transaction pathways and the adaptive nature of illicit networks. Machi...

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Geopolitical Research by Oleh Ivchenko DOI: 10.5281/zenodo.21626136 58stabilfr·wdophcgmx
BadgeMetricValueStatusDescription
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[t]Trusted100%✓≥80% from verified, high-quality sources
[a]DOI86%✓≥80% have a Digital Object Identifier
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[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.21626136
[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]50%✗≥60% of references from 2025–2026. Current: 50%
[c]Data Charts0○Original data charts from reproducible analysis (min 2). Current: 0
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[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (73 × 60%) + Required (2/5 × 30%) + Optional (1/4 × 10%)
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Rare Earth Geopolitics and the AI Supply Chain: Modeling Mineral Concentration Risk

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Geopolitical Research by Oleh Ivchenko  ·  DOI: 10.5281/zenodo.21510558  52stabilfr·wdophcgmx
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[s]Reviewed Sources0%○≥80% from editorially reviewed sources
[t]Trusted85%✓≥80% from verified, high-quality sources
[a]DOI77%○≥80% have a Digital Object Identifier
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[l]Academic85%✓≥80% from journals/conferences/preprints
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The global AI hardware boom has intensified dependence on rare earth elements (REEs) for high‑performance GPUs, TPUs, and specialized accelerators. While the United States and Europe have increased mining exploration budgets by 42% in 2025, China continues to control over 60% of rare earth processing capacity, creating a critical bottleneck for AI infrastructure scaling. This article quantifies...

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Geopolitical Research by Oleh Ivchenko DOI: 10.5281/zenodo.21510558 52stabilfr·wdophcgmx
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[s]Reviewed Sources0%○≥80% from editorially reviewed sources
[t]Trusted85%✓≥80% from verified, high-quality sources
[a]DOI77%○≥80% have a Digital Object Identifier
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[l]Academic85%✓≥80% from journals/conferences/preprints
[f]Free Access100%✓≥80% are freely accessible
[r]References13 refs✓Minimum 10 references required
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[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.21510558
[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
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[g]Code—○Source code available on GitHub
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[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (63 × 60%) + Required (2/5 × 30%) + Optional (1/4 × 10%)
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AI-Assisted Treaty Monitoring: From Arms Control to Export Compliance Verification

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Geopolitical Research by Oleh Ivchenko  ·  DOI: 10.5281/zenodo.21430730  52stabilfr·wdophcgmx
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Treaty monitoring traditionally relied on manual reviews of satellite archives, customs ledgers, and financial disclosures. Recent pilots in the North Atlantic Treaty Organization and the Financial Action Task Force show how AI can process petabytes of data to surface anomalous patterns quickly. This article investigates AI pipelines that support modern treaty verification and addresses three r...

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Geopolitical Research by Oleh Ivchenko DOI: 10.5281/zenodo.21430730 52stabilfr·wdophcgmx
BadgeMetricValueStatusDescription
[s]Reviewed Sources0%○≥80% from editorially reviewed sources
[t]Trusted89%✓≥80% from verified, high-quality sources
[a]DOI67%○≥80% have a Digital Object Identifier
[b]CrossRef0%○≥80% indexed in CrossRef
[i]Indexed0%○≥80% have metadata indexed
[l]Academic89%✓≥80% from journals/conferences/preprints
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[w]Words [REQ]426✗Minimum 2,000 words for a full research article. Current: 426
[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.21430730
[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]50%✗≥60% of references from 2025–2026. Current: 50%
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[g]Code—○Source code available on GitHub
[m]Diagrams1✓Mermaid architecture/flow diagrams. Current: 1
[x]Cited by0○Referenced by 0 other hub article(s)
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