Verified Truth
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Case Study · Pilot · Scientific Vertical

From scientific discovery to scientific legacy.

What happens when an entire scientific career becomes part of the Verified Truth Ecosystem? How can a lifetime of research remain alive, connected, verifiable, and useful for future generations?

Professor Mikhail Goman serves as the first pilot. The page that follows shows the model. But the model applies to every researcher who has devoted a lifetime to advancing human knowledge.

Pilot scenario · not yet implemented Scientific Knowledge Passport · concept 2026
Why this case matters

This is not a biography.
It is a proposal for how science remembers itself.

Scientific discoveries rarely happen in a single moment. They emerge through years — often decades — of ideas, failed experiments, simulations, publications, collaboration, teaching, and continuous refinement.

Today's universities preserve fragments of that journey. Papers are stored in repositories. Books live in libraries. Laboratory notes remain in drawers. Simulation models stay on personal computers. Students graduate and leave. Industrial collaborations become separate archives.

The knowledge survives.
The story does not.

Verified Truth proposes a different future — one where the journey of scientific work is preserved continuously, not reconstructed retrospectively. Professor Goman's case illustrates what this looks like in practice.

The pilot subject

Professor Mikhail G. Goman

MG

Mikhail G. Goman, PhD

Professor of Dynamics · De Montfort University, Leicester · UK

Aerospace scientist. Research career began in 1972 at the Central Aerohydrodynamic Institute (TsAGI), named after Prof. N.E. Zhukovsky, in Russia. Co-Director of the Centre for Engineering Science and Advanced Systems (CESAS) at De Montfort University. Head of the Nonlinear Flight Dynamics Research Group.

Awarded the Zhukovsky Gold Medal in 1992 — the highest aeronautical accolade in Russia, for the best work in the Theory of Aviation.

Led the development of the aerodynamic model of a generic airliner in extended flight envelope as part of the EU FP7 SUPRA project (Simulation of UPset Recovery in Aviation, 2009–2012), ranked highly by experts from NASA Langley Research Centre and the Boeing Company.

The scale of one career (public bibliometric record)

50+
Years in research
80+
Publications
17,000+
Reads
1,400+
Citations

These numbers represent only what is publicly counted. Behind them sit thousands of hours of unpublished work — failed experiments, abandoned models, classroom lectures, supervisor meetings, industrial collaborations, late-night derivations. None of that has a record. All of it was knowledge.

The problem this case demonstrates

Before EquiWork vs After EquiWork.

Today, even a distinguished career exists as isolated islands of evidence. The Verified Truth model proposes those islands become one continuous knowledge graph.

Before — what we have today

  • Publications in scattered repositories
  • Books in libraries
  • Conference talks in PDFs and slides
  • Research grants in funder databases
  • Laboratory notebooks in drawers
  • Engineering models on personal computers
  • Simulation software with no maintainer
  • Emails in private inboxes
  • Photographs and videos uncatalogued
  • Patents in patent offices
  • Industrial reports in client archives
  • Student theses in university stacks
  • University records in administrative systems

After — what becomes possible

  • Every artifact linked to its origin event
  • Every experiment traced to its hypothesis
  • Every publication connected to its reviewers
  • Every model preserved with its validation data
  • Every student lineage visible as a research tree
  • Every grant traced to its outcomes
  • Every collaboration recorded with verified events
  • Every failed path preserved as learning
  • Every lecture connected to its underlying research
  • Every patent linked to its supporting evidence
  • Every industrial application traced to validation
  • Every retirement opens a living legacy, not an archive

The first column describes the world we have. The second describes the world the Verified Truth Ecosystem makes possible — applied to a single scientific career.

The scientific lifecycle as verified events

From idea to legacy — every stage preserved.

Just as EquiWork records the seven-state lifecycle of an agreement, the Scientific Knowledge Passport records the continuous lifecycle of research. Each stage produces Verified Events that connect backward to origin and forward to consequence.

Research IdeaAn initial hypothesis, conversation, or sketch becomes a Verified Event
Research ProposalThe structured proposal — grant application, internal plan — anchored to the originating idea
FundingGrant awarded · grant terms · grant evidence — recorded as Verified Events
ExperimentEach wind tunnel run, each test, each measurement — Verified Event with its data attached
SimulationModels developed, code committed, parameters tuned — preserved with their full context
VerificationPeer cross-checks, validation runs, comparison with experiment — chain of approval events
PublicationPaper, journal, citation — linked to the entire chain of work that produced it
Peer ReviewReviewer comments, revisions, acceptance — each a Verified Event with identified actor
TeachingLectures, course materials, student supervision — connected to source research
Industrial ApplicationTechnology transfer events — which research validated which technology
New StudentEach PhD inherits a verified research tree, not an unstructured pile of PDFs
Next DiscoveryEach new finding anchored to the chain that led to it
Long-Term LegacyThe Scientific Knowledge Passport remains accessible to future researchers, decades later
The university gains a living history instead of disconnected archives.
The artifact

Scientific Knowledge Passport.

Professor Goman receives a Scientific Knowledge Passport. Not a résumé. Not a publication list. A living scientific identity.

Like a CAP passport for a bottle of wine — but applied to the work of a human mind across half a century. Each section is a chain of Verified Events.

Research Philosophy
The intellectual foundations — qualitative methods, bifurcation analysis, nonlinear dynamics — that defined the work
Scientific Domains
Aerodynamic modelling, nonlinear flight dynamics, critical flight regimes, extended flight envelope
Timeline of Discoveries
From TsAGI 1972 to SUPRA project to current work — each milestone with its evidence chain
Models Developed
The Goman–Khrabrov dynamic stall model · SUPRA generic airliner model · state-space aerodynamic representations
Experimental Validation
Wind tunnel campaigns at TsAGI · multi-DOF manoeuvre rig at Bristol · validation against flight test data
Simulation Methods
Bifurcation methods · attainable equilibrium sets · computational frameworks for nonlinear dynamics
Publications
Journal of Aircraft · Progress in Aerospace Sciences · Journal of Guidance, Control, and Dynamics · book chapters · conference proceedings
Students Supervised
Each PhD lineage preserved as a research tree — Khramtsovsky, Khrabrov, Ignatyev, Sereez, and others
Collaborations
TsAGI Russia · NAL India · NASA Langley · Boeing · Bristol · Cranfield · joint papers as verified events
Industrial Applications
Pilot training simulators · upset recovery training · flight control law clearance · technology transfer recorded
Engineering Impact
Stall and spin recovery improvements · aircraft certification methods · Loss-of-Control prevention
Awards
Zhukovsky Gold Medal (1992) — highest aeronautical accolade in Russia for best work in Theory of Aviation
Lectures
Undergraduate and postgraduate courses at DMU · invited talks at Cambridge, NASA, Boeing · keynote addresses
Scientific Archive
Notebooks, simulation code, experimental data, correspondence — preserved with provenance
Verified Evidence
Each claim in the passport linked to its source — paper, dataset, experimental record, witness
Future Research Directions
Open questions, planned investigations, hypotheses left for future researchers to explore

Each entry is not a static field. It is a window into a chain of Verified Events. Click a publication, and you see its experimental data, its peer reviewers, its citations, its lineage to prior work, and its impact on subsequent research. Click a student, and you see what they inherited and what they built next.

Visual interlude

The research graph.

A single career, visualized not as a list but as an interconnected graph. Every node is a Verified Event. Every edge is a verified relationship.

PROFESSOR M. Goman RESEARCH AREAS flight dynamics · aerodynamics SCIENTIFIC PROBLEMS stall · spin · LOC-I EXPERIMENTS wind tunnel · manoeuvre rig flight test SIMULATION MODELS Goman–Khrabrov SUPRA airliner PUBLICATIONS 80+ papers · 1,400+ citations STUDENTS · LINEAGE PhDs, postdocs, lab EACH NODE IS A VERIFIED EVENT · EACH EDGE A VERIFIED RELATIONSHIP
A scientific career as a connected knowledge graph
Five decades on a timeline

Verified milestones from a real career.

Every entry below is publicly verifiable. In the proposed system, each would become a Verified Event with full evidence chain attached.

1972
Research career begins at TsAGI — Central Aerohydrodynamic Institute named after Prof. N.E. Zhukovsky, Moscow. Aerodynamic modelling and nonlinear flight dynamics from day one.
1992
Zhukovsky Gold Medal — the highest aeronautical accolade in Russia, awarded for the best work in the Theory of Aviation. Recognized for the cycle of works on critical flight regimes.
1995–1997
Foundational publications on bifurcation methods in nonlinear flight dynamics (Goman, Zagainov, Khramtsovsky, 1997, Progress in Aerospace Sciences). Stabilizability and control laws for solid body motion with aerodynamic effects.
1998–2000s
Move to De Montfort University, Leicester — Professor of Dynamics, building the Nonlinear Flight Dynamics Research Group. Continued collaboration with TsAGI as Principal Scientist.
2008
Evaluation of Aircraft Performance and Maneuverability by Computation of Attainable Equilibrium Sets, Journal of Guidance, Control, and Dynamics. Continuation methods become standard tools in nonlinear flight dynamics.
2009–2012
SUPRA — Simulation of UPset Recovery in Aviation, EU 7th Framework Programme. Leads development of generic airliner aerodynamic model in extended flight envelope. Highly ranked by NASA Langley and Boeing experts.
2013
Multi-Degree-of-Freedom Wind Tunnel Manoeuvre Rig — joint work with Bristol (Lowenberg) on dynamic simulation and aerodynamic model identification. Journal of Aircraft.
2016–2022
Wind tunnel manoeuvre rig studies continue with Bristol team — including Araujo-Estrada, Lowenberg. Evaluation of aircraft upset behavior. Self-induced roll–yaw oscillations (Journal of Aircraft, 2022).
Today
Co-Director of CESAS at DMU — Centre for Engineering Science and Advanced Systems. Special issues on aerodynamics modelling. Continuing collaboration with TsAGI, NAL (India), Cranfield, Bristol.
Future
The question this page poses: when the active research period concludes, what happens to the living knowledge — the unwritten understanding, the supervisory wisdom, the unspoken context?
A new concept

The laboratory digital twin.

Beyond the personal passport, every laboratory receives its own digital twin — not a static description, but a continuous record of how the laboratory evolves.

For Professor Goman's Nonlinear Flight Dynamics Research Group, the digital twin would preserve:

Research equipment
Wind tunnels, multi-DOF manoeuvre rigs, mounting systems — with calibration history
Software
Simulation codes, parameter identification tools, model libraries — with version provenance
Datasets
Wind tunnel data, flight test records, simulation outputs — linked to the experiments that produced them
Measurement devices
Sensors, data acquisition systems, calibration certificates — full traceability
Experiments
Each campaign as a Verified Event chain — hypothesis, setup, run, result, interpretation
Research protocols
How experiments are designed and conducted in this specific laboratory — institutional memory
Laboratory documents
Notebooks, logs, internal reports, safety records — preserved with their context
Equipment maintenance
Repair history, modifications, upgrades — each event recorded with its impact on subsequent experiments
Associated publications
Every paper linked to the specific experiments and datasets that produced it
Researchers using the equipment
A roster of who used what, when, with what training, producing what results — a verified research lineage

Instead of describing the laboratory in a static document, the digital twin preserves how the laboratory evolves — every modification, every campaign, every researcher who passed through.

The science assistant

Scientific AI agent.

Every laboratory receives a dedicated AI Research Agent. Within the same non-negotiable rule that governs the rest of the Verified Truth Ecosystem: AI suggests. Human approves.

What the agent does

The AI never creates scientific truth.
It organizes and explains verified scientific knowledge.

Within the Verified Truth Ecosystem, every AI-generated artifact carries the ANALYZED predicate with canonical = false. A scientific claim only becomes part of the record when a human researcher approves it. The agent accelerates work; it does not replace judgment.

Who benefits and how

What changes for each audience.

The Scientific Knowledge Passport is not a tool for one person. It serves a layered set of audiences — each of whom gains something specific.

The PhD student joining the lab

  • Sees why a hypothesis was originally proposed
  • Sees which experiments failed and why
  • Sees how the model changed over time
  • Sees which simulations confirmed which results
  • Sees which publications documented which discoveries
  • Sees which former students contributed what
  • Inherits a living research environment, not a folder of PDFs

The university

  • Research evolution visible at the institutional level
  • Scientific collaborations recorded and verifiable
  • Grant outcomes traced through their downstream impact
  • Technology transfer events documented end-to-end
  • Teaching impact connected to underlying research
  • Research genealogy across multiple generations
  • Equipment lifecycle and laboratory utilization recorded
  • Accreditation evidence already structured

The industrial partner

  • Sees which research validated which technology
  • Sees who contributed and at what authority level
  • Sees which experiments support which conclusions
  • Sees how the technology evolved through revisions
  • Sees which publications document each stage
  • Confidence increases; technology transfer becomes easier
  • Audit-ready records for safety-critical applications

The funding agency

  • Every grant followable from proposal to long-term impact
  • Research outputs anchored to their funded inputs
  • Publications, technology, education, societal benefit traced
  • Public investment becomes legible to public audiences
  • Cross-grant patterns visible at the agency level
  • Future funding decisions informed by verified track records
The image that explains why this matters

Fifty years from now.

A future scenario

Fifty years have passed.

The professor is no longer here.

But a new researcher — a young scientist working on a problem in nonlinear flight dynamics, perhaps for a vehicle that does not yet exist — opens his Scientific Knowledge Passport.

She sees not only the published papers. She sees the entire path: the ideas, the experiments, the wrong turns, the students, the industrial applications, the evolution of his models, the influence on subsequent generations.

She does not study an archive.

She continues a living scientific school.

This is what the Verified Truth Ecosystem makes possible — not for one person, but for every researcher whose work deserves to be preserved as more than a stack of publications. The goal is not simply to remember Professor Goman. The goal is to preserve the evolution of scientific thinking itself.

Libraries remain.
Publications remain.
But much of the living knowledge disappears.
Verified Truth preserves the journey, not only the destination.
How this connects to everything else

One architecture. Many domains. One principle.

The Scientific Knowledge Passport is not a separate product. It is the application of the same underlying ecosystem — predicates, evidence, authority, audit trail — to the domain of human knowledge.

VERIFIED TRUTH
the principle
Verified Events
the primitive
EquiWork
agreements & contribution
Verified Contributions
software, service, consulting
Scientific Knowledge Passport
this case study
Verified Scientific Legacy
research as living history
CAP
object provenance
Verified Products
wine, art, luxury, goods
Tasting & Toasting
first market vertical
Verified Experiences
consumer-facing trust
Future Verticals
luxury · art · registries
Public Trust Infrastructure
across domains
Truth creates value when it is preserved at the moment it happens, not reconstructed years later.
Final reflection

This page leaves one conclusion.

EquiWork is not only a platform for agreements.
CAP is not only a passport for products.
The Verified Truth Ecosystem is an infrastructure for preserving how human value is created.

In commerce, that value is captured agreements and verified work. In objects, that value is preserved provenance. In experience, that value is authentic consumer trust.

In science, that value is knowledge.

And preserving the evolution of knowledge — not just its published outputs, but its full journey — may become one of the most important applications of the entire ecosystem.

The case study presented here describes a proposed pilot. The Scientific Knowledge Passport is currently in CONCEPT state. Discussions are underway with Professor Goman and his institutional colleagues. Building it requires partnership with the University, the laboratory, and the research community. This page is the invitation.