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Open water data and decision support for AfricaCôte d’Ivoire pilotANTICIP-EAU-CI · current project

Better water decisions. Stronger water security.

W4A is an open water data and decision-support platform connecting community needs, water services and infrastructure, field science, environmental evidence and trustworthy modelling. Groundwater and drilling intelligence are core capabilities—not the limit of the mission.

Community water point · daily collection

First pilot node

Côte d’Ivoire

Platform architecture

54 African country nodes prepared

Evidence chain

Observe → Understand → Predict → Validate → Act

Public-data safeguards

Precise locations remain controlled

Community members collecting water at a hand-pump water point

The decision problem

Water security needs more than a promising map

Communities, technicians and institutions need evidence that connects access and demand, service continuity, water quality, infrastructure, groundwater, climate, field outcomes and uncertainty. W4A is designed to preserve that chain—from the first observation to a governed public decision.

Public groundwater explorer

Côte d’Ivoire preview

Explore published groundwater evidence

Preview the public evidence available through the Côte d’Ivoire pilot node. The complete explorer provides filters, record details and broader navigation.

Public map legend

Verified published recordPublic position may be generalizedPublished-evidence coverage
Loading published evidence…

Public-data safeguard

Only records approved for public release are shown. Coordinates may be generalized.

Coverage represents published evidence density—not groundwater potential or drilling probability.

Understand public-data safeguards

First national pilot node

Pilot

Côte d’Ivoire: first national demonstrator

Test a reusable national-node architecture that connects governed groundwater evidence, field science and privacy-safe public decision support in Côte d’Ivoire.

What exists now

The shared platform foundation, Côte d’Ivoire node, contribution governance, public-data APIs and field-evidence workflow are implemented and under validation.

What remains planned

Broader institutional participation, additional verified datasets, operational deployment and measured impact depend on validation, partnerships and resources.

Field team gathered at a borehole drilling site

Tankessé field evidence journey

Field evidence tests every model

A model is a hypothesis expressed with data—not measured truth. Acquisition records how signals were observed; interpretation states uncertainty; drilling and water outcomes test whether the hypothesis survives contact with the field.

Explore the scientific programme
Geophysical field-data acquisition along a wooded survey line
Chapter 01

Acquisition

The evidence begins on the survey line

At Tankessé, field observations are recorded with survey geometry, instrument configuration and location context so every later decision can be traced back to how the signal was acquired.

High-resolution Tankessé electrical-resistivity processing workspace and profile
Chapter 02

Processing and interpretation

Signals become a testable interpretation

The Tankessé profile is quality-checked and processed to identify responses worth investigating. The interpretation remains connected to the source data, parameters and uncertainty—it is not presented as groundwater truth.

Field team and drilling rig testing a groundwater target
Chapter 03

Field test

The interpretation meets the ground

A selected target becomes a field hypothesis. Drilling records lithology, construction and encountered conditions, including outcomes that differ from the original expectation.

Water discharge observed during borehole field validation
Chapter 04

Observed outcome

Water closes one loop—and starts the next

Observed discharge creates evidence for comparing the interpretation with field performance. Successes and unsuccessful outcomes both remain part of the record for learning and better future decisions.

This sequence documents a scientific workflow. A conductive response can guide investigation, but it is not proof of groundwater; drilling and observed field outcomes provide the validation evidence.

Trust and data governance

Data before algorithms

The platform is designed around traceable observations, provenance, quality, uncertainty and privacy. AI will support decisions; it will not replace field evidence.

Provenance stays with the evidence

Sources, methods, dates, processing history, licences and review status remain connected to scientific records.

Precise locations remain controlled

Permission to store a coordinate is not permission to publish it. Public geometry follows explicit consent and governance rules.

Access and decisions remain controlled

Roles, country scope and publication status govern access. Contribution, review, promotion and public release remain separate, auditable decisions.

Ways to participate

A clear pathway for every evidence contributor

Each pathway explains what can be submitted, which evidence is expected and how review protects contributors and scientific integrity.

CommunitiesReport a new water point or update its condition and local context.Eligibility: People with direct local knowledge of the water point and permission to share the observation.Expected evidence: Location-sharing choice, current condition, observation date, local context and consent.After submission: The report stays private while quality checks and authorized review determine whether clarification or governed publication is appropriate.TechniciansSubmit structured construction, measurement and field-validation observations.Eligibility: Field professionals able to identify their method, units and observation context.Expected evidence: Method, units, date, instrument or construction details and supporting files where available.After submission: Automated checks flag issues; a scoped reviewer may request clarification before any canonical promotion or publication decision.ResearchersContribute or access governed datasets with reproducibility context.Eligibility: Researchers or data stewards with authority to describe licensing, authorship and permitted access.Expected evidence: Metadata, authorship, provenance, licence, variables, methods and controlled source files.After submission: The dataset enters inspection and scientific review; access and publication follow its licence, sensitivity and explicit approval status.InstitutionsPartner, support review, or explore activation of a governed country node.Eligibility: Organizations with a confirmed mandate and an identifiable institutional representative.Expected evidence: Mandate, country scope, intended role, governance capacity and documented relationship.After submission: The request enters institutional due diligence; no partnership, reviewer authority or country-node status is implied before confirmation.

The project W4A currently supports

ANTICIP-EAU-CIDesign complete

Anticipating water-security risk in Côte d’Ivoire

The first project W4A supports — an integrated anticipation and decision-support system tested across three pilot territories. Its household and technician questionnaires shaped W4A’s own contribution forms and data model.

Funding status

FPNR 2026 opportunity alignment · no funding award is claimed

View ANTICIP-EAU-CI

Open science and reproducibility

Published resources only

Methods should remain usable beyond one project

The resource catalogue separates available software from publications, protocols, training and reports that remain planned until reviewed and published.

Only reviewed and explicitly published resources appear as available outputs; planned materials remain labelled as planned.

Evidence into action

Turn evidence into responsible water decisions

Explore governed public information or contribute observations that can strengthen the evidence base.