CERES
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About CERES

Built to close the humanitarian lead-time gap

CERES was built because the gap between when a famine becomes predictable and when the humanitarian system acts is measured in lives. Current early warning systems provide 30–45 days of actionable lead time. Pre-positioning food aid, mobilising logistics, and securing emergency funding requires 60–90 days.

CERES is an open, falsifiable, probabilistic forecasting system that synthesises six data streams into 90-day famine risk predictions — designed to give the humanitarian system the lead time it currently lacks.

It is free. It is open. Its methodology is published. Its predictions are timestamped and graded against outcomes. It is built to be scrutinised.

System at a Glance
90d
Forecast Horizon
vs. 30–45 days for existing EWS
87
Validation Records
IPC transition records, 2011–2023, 31 countries
Pending
Brier Score
Target <0.10 — prospective grading from May 2026
6
Data Streams
CHIRPS · MODIS NDVI · UCDP GED · IPC · WFP VAM · FAO/WFP
Mission
“Give the humanitarian system the lead time it needs to act before a food crisis becomes a famine.”
Open by design
The methodology is published. The code is public. Every prediction is timestamped and graded against real-world outcomes. We built CERES to be examined — by scientists, by funders, by the people whose lives depend on getting this right.
Calibrated, not overconfident
CERES never gives you a single number and calls it certainty. Every forecast carries a 90% sensitivity interval, built from 2,000 input-perturbation replications. Honest uncertainty is more useful to a humanitarian programme officer than false precision.
Built to be proven wrong
Every prediction CERES issues is publicly recorded before the outcome is known. If we are wrong, it is visible. That is not a vulnerability — it is the point. A forecast system that cannot be falsified is not a forecast system.
Northflow Technologies

The HGE Platform

CERES is built on the Hypothesis Generation Engine (HGE) — AI-native infrastructure developed by Northflow Technologies for institutional-grade intelligence across complex, data-rich domains.

HGE is designed to do one thing: synthesise multi-source signals into ranked, evidenced, falsifiable hypotheses. It is not a dashboard. It is not a threshold alert system. It is a system that reads the evidence and tells you — with calibrated confidence — what it thinks is happening and why.

CERES is HGE Adapter #5. Each adapter applies the same hypothesis engine to a different domain. The same rigour. The same calibration standards. The same commitment to auditable reasoning.

HGE Adapter Family
GAIA — Astrophysics
Space research intelligence · ESO, ESA, academic journals · Operational
ORION — Conflict
Conflict reconstruction intelligence · Ukraine focus · In development
OFW — Deforestation
EU DG ENV, NGOs, investigative journalists · In development
MARVIS — Maritime
Maritime AI Validation & Intelligence System · In development
CERES — Famine Early Warning
This system · Probabilistic · 43 countries · Live
Scope & Limits

What CERES Is Not

CERES is a research and early warning tool. It is not an operational replacement for IPC field assessments, humanitarian programme decisions, or famine declarations.

Only the IPC Global Platform, through its established cadre process and field verification, has the mandate to declare famine (IPC Phase 5). A CERES Tier I prediction indicates a high probability of reaching IPC Phase 3+ — a signal for preparedness, not a declaration.

CERES predictions should be interpreted alongside, not instead of, FEWS NET situation reports, WFP VAM assessments, and field-based humanitarian intelligence.

Institutional Context

Designed for Institutional Review

Every design decision in CERES — from the calibrated confidence intervals to the publicly timestamped prediction ledger to the published limitations section — is made with institutional reviewers in mind.

The system is designed to be reviewed by WFP technical staff, FAO analysts, EU ECHO programme officers, academic food security researchers, and independent funders. It is built to withstand scrutiny, not to impress with outputs.

CERES is live as of 28 February 2026. Predictions are timestamped and graded against IPC outcomes at T+90 days. The model was initialised against 87 IPC transition records (2011–2023, 31 countries). Prospective forward validation is ongoing and publicly visible in the Validation Ledger. The full methodology is published at arXiv:2603.09425.

Get In Touch

Institutional Collaboration & Access

CERES is an open system seeking institutional partners for validation, deployment, and co-development. If you represent a humanitarian organisation, research institution, or funding body, we welcome your engagement.

Research & Academic
Methodology Review
For peer review, co-authorship, or academic collaboration on the validation dataset.
Humanitarian Organisations
Operational Partnership
WFP, FAO, OCHA, NGOs — for data sharing, co-validation, or integration into existing EWS workflows.
Funders & Institutions
Programme Funding
For foundation programme officers, EU funding bodies, and institutional investors in humanitarian AI.
ceres@northflow.no → Get in touch