Mario Marcolongo Professional Evidence Interface

Public discovery interface for Mario Marcolongo's source-backed professional dossier spanning information retrieval, data quality, AI evaluation, scientific verification, research support, source-quality investigation and open science.

Skills

• AI Safety & Model Behavior
  Self-directed adversarial testing across chat, image, agentic tool-use and indirect prompt-injection challenges, with reporting that separates evidence from inference and explicit limitations.
• Research, Editorial & Community Coordination
  Scientific editorial support, evidence-synthesis preparation, research facilitation, community-facing protocols, public writing and website delivery.
• Source Quality, Trust & Investigations
  Source provenance, public-record research, cross-source corroboration, entity reconciliation, rights context and reporting that separates evidence from inference.
• Open Science & Data Quality
  Scientific verification, structured metadata, provenance workflows and public records across Wikimedia, Wikidata, FAIRsharing, Zenodo and ENA.
• Information Retrieval & Research Analysis
  Primary-source discovery, claim tracing, source reconciliation, evidence synthesis and maintained research-information workflows.
• Requirements, Testing & Technical Delivery
  Codebase reading and behavior inspection, requirements definition, functional testing, deployment and AI-assisted implementation; not represented as independent software engineering.

How to call

https://mariomarcolongo.com

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