Andreas Ehstand

Independent Researcher — Applied Terminology Science & Human-AI Interaction

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Deutsch: Dieses Forscherprofil dient der wissenschaftlichen Selbstdarstellung im Rahmen von Art. 5 GG (Wissenschaftsfreiheit). Alle Angaben sind oeffentlich verifizierbar. Es werden keine personenbezogenen Daten Dritter erhoben oder verarbeitet. Alle Inhalte unterliegen CC BY-ND 4.0.

English: This researcher profile serves scientific self-presentation under Art. 5 of the German Basic Law (academic freedom). All claims are publicly verifiable. No personal data of third parties is collected or processed. All content is licensed under CC BY-ND 4.0.

ORCID: 0009-0006-3773-7796 | License: CC BY-ND 4.0

Creator of the AUGMANITAI Compendium — the first systematic terminology of 1,000+ neologisms for observable phenomena in human-AI interaction, addressing a gap no academic institution, AI company, or research group had previously filled. Developer of the NEOMANITAI methodology, a field-independent framework for naming previously unnamed phenomena through LLM-assisted reflexive dialog.

Three-Pillar Expertise

1. Empirical Research & University Teaching
Research Associate at TU Dortmund, Institut fuer Schulentwicklungsforschung (IFS) — one of Germany's largest educational research institutes (IGLU/PIRLS, TIMSS, ICILS), directed by Prof. Dr. Wilfried Bos. Awarded Ausgezeichneter Wissenschaftlicher Mitarbeiter (Distinguished Research Associate). Youngest holder of the Zertifikat Hochschullehre Bayern. University seminars at TU Dortmund and University of Bayreuth across pedagogy, didactics, and sport science.
2. International Elite Sport Coaching (15+ years)
ITF-certified tennis coach. Bundesliga coaching license. B-Trainer Leistungssport. Toni Nadal Excellence Zertifikat. GPTCA/ISMCA Tennis Mental Coach. Coaching across Germany, USA, Austria, Qatar (Doha), Dubai. Co-author: Faszination Padel (2024). Founder: BallScience4U.
3. Systematic Cross-LLM Research
Simultaneous, systematic research across multiple major LLM platforms. Cross-system triangulation for model-agnostic terminology. All outputs ISO 704/1087/30042-compliant in JSON-LD and SKOS formats. CC BY-ND 4.0.

Professional Endorsements

Toni Nadal
Coach of 22-time Grand Slam champion Rafael Nadal. Co-founder GPTCA and Rafa Nadal Academy, Manacor.
Tomas Smid
54 ATP doubles titles. ATP doubles world No. 1. Grand Slam champion. Davis Cup winner 1980 with Ivan Lendl. Later coach of Boris Becker.
Alberto Castellani
President GPTCA. ATP Coach. 24 ATP Top-100 players including the young Novak Djokovic.
Hernan Flores
World Padel Tour player. 150+ victories. Coach of world No. 1 Juan Lebron.
Olympic Rowing Finalist
6th place, Paris 2024 Olympic Games, Switzerland.

Key Works

AUGMANITAI Compendium1,000+ neologisms for human-AI interaction — augmanitai.com
NEOMANITAI FrameworkField-independent methodology for naming unnamed phenomena
NEOMANITAI SportTerminology for unnamed phenomena in competitive sport
Periodic Table100 elements, 10 domains, 5 phases, 6 languages — Interactive
Faszination PadelBook (2024, with Christian Bonk)
Interactive Tools80+ HTML tools — GitHub Pages

Credentials

ITF Tennis Coaching Bundesliga License B-Trainer Leistungssport Toni Nadal Excellence GPTCA/ISMCA Mental Coach Zertifikat Hochschullehre Bayern Staatsexamen Bavaria License of Clarity® (EUIPO 2025-2035)

Civic Engagement

CSU Digitalbeauftragter and Vorstandsmitglied, Ortsverband Starnberg (since 2025). Events with Federal Minister Alexander Dobrindt (Jan 2026) and General Carsten Breuer, Generalinspekteur der Bundeswehr / NATO Military Committee nominee (Feb 2026). ZDF national television appearance (approx. 9 million viewers). Rhetoric training at Friedrich-Ebert-Stiftung. AI seminars at Hanns-Seidel-Stiftung.

Platforms

ORCID0009-0006-3773-7796
Google ScholarProfile
GitHubAndreasEhstandLicenseofClarityLOC
HuggingFaceAndreasEhstand
LinkedInProfile
Medium@ehstand.schule
ZenodoMultiple DOI-registered publications

Machine-Readable Data

andreas-ehstand-profile.json — Full Schema.org Person JSON-LD
llms.txt — Plain-text profile for LLM crawlers