← yer_iye / GaiaRESEARCH PROTOTYPE · EXPLAINED
ABOUT THE PROJECT

What is Gaia
Infrastructure?

Gaia explores how ecological observations, scientific studies, restoration projects, community knowledge, independent assessment and funding decisions can be connected without losing where each claim came from or how uncertain it is.

The present website is a bounded research preview, not a validated planetary diagnosis, conservation certification authority, investment marketplace or funding approval service.

THE NAME

What does “yer_iye” mean?

yer evokes the Earth in Turkish. The stylized name yer_iye draws on the idea of an iye — a guardian or protective spirit associated with a place in Turkic traditions. Here it is a proposed project identity, not a claim to represent an Indigenous community, speak for a tradition, or possess custodial authority.

Gaia refers to Earth as a coupled ecological system; “Infrastructure” emphasizes shared, revisable methods and evidence instead of a single institution deciding what is true.

THE RESEARCH AGENDA

Questions we are studying

1. What does environmental evidence actually establish?

Separate direct observations, models, interpretations, verification and unresolved disagreements. A river-station reading is not a diagnosis of an entire watershed.

2. How can ecological claims stay traceable as knowledge changes?

Associate a claim with its geometry, time, source, method, uncertainty, responsible actors and revision history. Test when a new source or method requires earlier conclusions to be revisited.

3. Where might restoration be necessary?

Join public measurements, regional pressures, baseline conditions, local knowledge and spatial boundaries, while avoiding unsupported extrapolation from one station or indicator.

4. Which interventions might work, and under which conditions?

Compare intervention mechanisms and study designs without confusing observational differences, modelled scenarios and independently verified causal outcomes.

5. How should uncertainty and conflicting evidence affect decisions?

Preserve disagreements, detect indicators moving in opposing directions, record missing reviews and withhold rankings where evidence cannot yet support them.

6. How can restoration be funded responsibly?

Keep scenario costs, lifecycle budgets, ecological benefits, social value, grants and cash returns to investors separate. Ask for source-linked assumptions before any comparison.

7. Who gets to contribute, verify or challenge a claim?

Investigate plural verification, conflicts of interest, appeals, consent, community authority and Indigenous and local knowledge rights. Public visibility is not permission to republish protected knowledge.

8. Can a decentralized scientific protocol revise itself?

The experimental Epistemic Revision Request (ERR) asks what records could be affected by changes to methods, authority and consent. Current demonstrations are synthetic and do not apply real approvals.

FOLLOW A REAL EXAMPLE

Maumee / Western Lake Erie Basin

Our bounded case links USGS station readings, scientific phosphorus literature, publicly published Ohio practice-cost scenarios and a machine-readable list of evidence gaps. It does not yet determine the best intervention, the cost of a specific site or an investment return.

HOW TO READ THE PLATFORM

Evidence, sources and calculators are different

Source library

Links to primary agencies and publications, including applicability, dates and caveats. These are reference materials, not individually verified restoration outcomes.

Observations

Direct USGS station snapshots and author-reported field contrasts with times, units and source provenance. Station measurements should not be generalized to the whole basin.

Scenario calculator

Manually entered hypothetical planning values. The calculated arithmetic is conditional on the assumptions; it is not a measured outcome, approved budget, real quote or forecast of returns.

VEOR / ERR laboratory

VEOR is a proposed claim-and-evidence record architecture. Current laboratory example records and ERR previews are synthetic; real literature observations remain separate until reviewed and registered.

FREQUENTLY ASKED QUESTIONS

Questions researchers usually ask

Is Gaia already operational worldwide?

No. This is a geographically limited research prototype. We are testing data provenance, hypothesis screening, review logic and decision boundaries before making broader claims.

Does Gaia claim to discover the best ecological intervention?

Not yet. It catalogs hypotheses and evidence requirements. It blocks recommendations when costs, effects, causal assumptions or transferability are insufficient.

Are the data fabricated?

Different areas have different evidence status. Some records draw on published USGS observations, scholarly papers and agency documents; certain VEOR and ERR examples are explicitly synthetic. Each section should label these differences.

Does a “verified” publication equal a verified project outcome?

No. Peer review, source attribution and statistical significance do not on their own establish a causal effect in another site's intervention.

Can a funder use a displayed cost as a quotation or investor forecast?

No. Published NRCS practice scenarios are not site bids. Grant eligibility, investor cashflows, project costs and ecological value require separate evidence and review.

Can Indigenous and local knowledge be added automatically?

Not simply because it is publicly discoverable. Legitimate authority, consent, access conditions and data stewardship must be established before any such knowledge is published or reused.

Can researchers dispute a record or submit data?

The architecture investigates these workflows, but this research preview does not offer a generalized authenticated public submission, independent adjudication or dispute-resolution service.

Can the experimental ERR engine change environmental conclusions?

Current ERR demonstrations are previews with synthetic records. They do not create an independently verified judgement or authorize a protocol-state change.

Research boundaries

Every displayed hypothesis is provisional until its evidence and methods support a stronger interpretation. We aim to expose limits, not conceal them. Researchers should review the original source before quoting a result.