Mario Marcolongo

• Founded and operate an open-source research-participation directory indexing 55 resources; as of 27 July 2026, 37 unique Wikidata items use yourselftoscience.org as a reference URL (P854).
• Defined the inclusion model, verification workflow, provenance fields, licensing structure and machine-readable metadata requirements.
• Use AI-assisted implementation while personally defining requirements, inspecting code structure and behavior, testing releases and maintaining the service.

• Conduct self-directed testing of LLM instruction handling, policy boundaries and edge cases across chat, image, agentic tool-use and indirect prompt-injection settings.
• Reached #74 on the Proving Ground (top 6%) with 113 platform-displayed total breaks on 29 July 2026; the same profile displayed Arena rank #365, 28 global unique breaks, 1,120 points and 255 submissions.
• Document the visible 112/113 discrepancy and separate platform-reported outcomes from independent verification, security certification or model-wide conclusions.

• Delivered 80 documented published content contributions: 55 YouTube videos, 4 co-authored articles and 21 short-form pieces.
• Own recurring primary-literature research, scientific fact-checking and English-to-Italian scientific localization, adapting predominantly English-language evidence into accurate Italian scripts, articles, visualizations and short-form material while preserving meaning, terminology and source context.
• Develop selected thumbnail concepts and visual packaging independently or with the video editor, using click-through rate, watch time, retention and immediate attention capture as explicit design criteria.
• Designed and built entropyforlife.it in WordPress and manage responsive design, publishing, OVHcloud hosting, DNS, SSL and technical SEO; formally acknowledged in the Mondadori book Italiani veri for scientific-literature research and error detection.

• Served as lead or co-facilitator across approximately 4–5 recorded Zoom focus-group sessions, typically lasting 1–2 hours, with autistic participants discussing sensitive sexuality and relationship topics.
• Co-developed the protocol, including pseudonymous naming, explicit recorded consent, optional captions and written-chat participation, timed turn-taking, scripted prompts, recording boundaries and two-person facilitation handoffs.
• Supported participant recruitment, bibliographic research, technical preparation and protocol feedback from an autistic perspective; coordinated with Marta Panzeri, researchers and a second autistic volunteer facilitator.
• Public attribution to Marta Panzeri and the Department of Developmental Psychology and Socialisation is included with permission; no participant information or confidential session content is disclosed.

• Completed 4,317 auditable contributions across Wikipedia, Wikidata and Wikimedia Commons; created the original 18,351-byte English article Freedom Cities and developed Italian science and technology articles through translation, terminology adaptation, source enrichment and post-publication revision.
• Built a sourced consumer-genomics privacy record, recovered archived material for a legally sensitive chronology, audited claim-to-source fit and bibliometrics, and synthesized biomedical literature into a syndromic-autism taxonomy and prevalence table.
• Perform cross-language adaptation while preserving terminology, citations and edition-specific conventions; distinguish source-supported fact, company statement, allegation, hypothesis, inference, collaborative outcome and unresolved uncertainty.

• Donated personal 41× whole-genome sequencing raw paired-end FASTQ reads to the public domain under ENA BioSample SAMEA121950568.
• Defined analytical requirements and used Terra.bio cloud workflows to produce GRCh38 BAM alignments and VCF variant-call files.
• Specified requirements for and iteratively validated a downstream workflow using Plink2 and Nextflow pgsc_calc with ancestry projection.
• Used AI-assisted Python scripts for VEP-annotated VCF extraction, multi-trait polygenic-score summaries and variant filtering; inspected outputs and iterated requirements rather than independently developing the code.

• Published more than 70 empirical public-health, epidemiological and biomedical visualizations across Wikimedia Commons, Tableau Public and Flourish.
• Created an original vector Euler diagram of overlapping monogenic clinical phenotypes adopted across four Wikipedia language editions.
• Synthesized primary datasets into open-access charts, maps and vector evidence records.

Self-directed model-behavior evaluation conducted through the Gray Swan Proving Ground. The 29 July 2026 profile snapshot displays rank #74, top 6%, and 113 total breaks. The same snapshot shows 255 Arena submissions, 28 global unique breaks, 1,120 points and Arena rank #365. Aggregate counts are presented with explicit evidence limitations; complete prompts, outputs, model versions and adjudication materials are not reproduced.

• Current Snapshot: #74, top 6% and 113 platform-displayed Proving Ground breaks
• Arena Activity: 255 submissions, 28 global unique breaks and 1,120 points
• Evidence Boundary: The visible area counters sum to 112; the platform displays 113 total breaks

Founded, designed and operate an open-source research-participation directory indexing 55 resources. As of 27 July 2026, 37 unique Wikidata items use yourselftoscience.org as a reference URL (P854). Defined the inclusion model, verification workflow, provenance fields, licensing structure and machine-readable metadata requirements, including JSON-LD, RDF Turtle/VoID, OpenAPI and an MCP interface. Technical implementation is AI-assisted and personally verified through requirements, code reading, functional testing and operational maintenance.

• 55 Research Resources: Clinical studies, biobanks, donation programs, registries and other opportunities catalogued
• Verification Workflow: Inclusion, provenance, metadata and licensing requirements documented
• 37 Wikidata References: Unique items using yourselftoscience.org as a P854 reference URL

Conduct recurring primary-literature research, scientific fact-checking and English-to-Italian scientific localization across 80 documented published content contributions: 55 YouTube videos, 4 co-authored articles and 21 short-form pieces. Predominantly English-language evidence is adapted into accurate Italian scripts, articles, visualizations and short-form content with attention to terminology, source meaning, cultural context and audience comprehension. Entropy for Life is an Italian science-communication brand with 267K YouTube subscribers and 36,524,137 channel views as of 26 July 2026. Depending on the assignment, work also includes data analysis, slides, on-screen assets, short-form content and selected thumbnail concepts or production. Designed and built entropyforlife.it in WordPress and operate its responsive design, publishing and OVHcloud technical stack. Platform metrics describe the production environment, not a personal audience.

• Production Scale: 36.5M YouTube views · 267K subscribers · 592 published videos
• Documented Work: 80 contributions · 55 YouTube videos · 4 articles · 21 short-form pieces
• Multilingual Quality: English-language scientific evidence localized for Italian audiences with terminology, meaning and source context preserved

Created and maintain Notandia, the public continuation and expansion of MDPI Filter. The browser extension helps users identify articles from publishers whose editorial and peer-review practices have attracted scrutiny—including MDPI and Frontiers—and choose how matching articles should appear, including context, badges, highlights, dimming or hiding. It also uses Crossref/Retraction Watch data to check for formal notices such as retractions, corrections, expressions of concern, withdrawals, duplicate-publication findings and reinstatements. I define product requirements and evidence hierarchies, test cross-browser and Zotero behavior, inspect API and implementation logic, reproduce failures, guide AI-assisted changes, and manage documentation, release verification and deployment. The Zotero plugin currently focuses on precise MDPI item and reference detection, including structured PubMed Central evidence and exact citation highlighting. Publisher-level context is controlled by the user and does not treat every journal or article as equivalent. Existing store identities and compatibility-sensitive identifiers are retained so the same product lineage can continue receiving updates. Current source repositories: https://github.com/notandia/browser-extension and https://github.com/notandia/zotero-plugin.

• Contested-Publisher Context: Built-in MDPI and Frontiers profiles plus validated custom domain and DOI-prefix profiles
• Formal Article Notices: Optional Crossref/Retraction Watch checks for retractions, corrections and other documented updates
• Precise Zotero Detection: Exact identifier and structured-reference evidence, ambiguity skipping and verified citation highlighting

Specified the behavior and deployment requirements for a Telegram bot running on AWS Lambda and API Gateway. Used AI-assisted implementation, tested private, group and inline workflows, diagnosed deployment problems and maintained GitHub Actions releases.

• Serverless Deployment: AWS Lambda and API Gateway
• Behavioral Coverage: Private chats, groups and inline usage
• Operational Ownership: Testing, deployment diagnosis and release maintenance

Developed the concept, narrative structure, interaction requirements and behavioral specifications for an evolving browser-based network simulation. Implementation was produced through AI-assisted workflows and personally tested and iterated.

• Sixteen Interactive Chapters: Essay narration combined with live simulation
• Conceptual Model: Signal, noise, echo chambers and collective memory
• Delivery Boundary: AI-assisted implementation with personal requirements and testing