Funded by FutureFoodS · European Partnership

Resilient food systems, engineered against the next shock.

ENRESFOOD builds an AI-powered dashboard that helps risk managers, assessors and food-chain actors detect safety and security threats early, and respond before they cascade.

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36 months · 2025 — 2028·4 research partners · 4 countries·

Background

From reactive to proactive food-system governance.

The challenge

European food systems are increasingly exposed to both unintentional and intentional threats, including food contamination, fraud, cyber-attacks, geopolitical disruptions, and climate-related shocks. Such events can compromise food safety, disrupt supply chains, and undermine public trust, highlighting the need for more resilient and proactive food system governance. Current approaches often remain reactive and provide limited support for anticipating emerging risks or evaluating response strategies under uncertainty.

Our response

ENRESFOOD addresses this challenge by combining artificial intelligence, resilience modelling, socio-economic decision analysis, and stakeholder co-creation to strengthen preparedness and response capabilities. Through an interactive decision-support platform and dashboard, the project enables policymakers, risk managers, and food system actors to identify emerging threats early, assess resilience measures, and make transparent, evidence-based decisions that enhance the long-term resilience and sustainability of European food systems.

The project

One dashboard for food systems
under pressure.

Food systems face intentional and unintentional shocks — from mycotoxin contamination to deliberate fraud. ENRESFOOD gives decision-makers a shared surface to see threats early, weigh response options, and adapt.

Detection

Early identification

Explainable AI models mine public data, scientific literature and open feeds to surface emerging safety and security threats before they hit the chain.

Modeling

Resilience quantification

Monte Carlo simulation and Multi-Criteria Decision Analysis turn scenarios into measurable trade-offs across people, planet and profit.

Co-creation

Multi-actor dashboard

Designed, tested and validated together with risk managers, assessors and private-sector actors across three iterative co-creation rounds.

Approach

A five-step resilience concept.

Across every work package, ENRESFOOD applies the same cycle (from identification to adaptation) so the dashboard produces decisions the food system can actually act on.

01
Identify
Spot intentional and unintentional threats early through AI-driven monitoring of drivers of change.
02
Absorb
Quantify and reduce the shock's impact on supply-chain performance.
03
Recover
Return to normal performance with evaluated mitigation measures.
04
Learn
Translate outcomes and past events into validated, reusable knowledge.
05
Adapt
Reshape the system for greater future resilience and sustainability.

Use cases

Two chains. Two classes of shock.

The project pressure-tests its methods against two contrasting real-world cases — one unintentional, one intentional — to make sure the dashboard works across the full threat landscape.

Unintentional threat

Mycotoxins in the wheat supply chain

Climate-driven contamination events threaten staple cereals across Europe. ENRESFOOD models how mycotoxin outbreaks propagate through wheat — and which interventions restore the chain fastest.

WheatMycotoxinsClimate drivers

Intentional threat

Intentional contamination of the baby milk powder supply chain

Deliberate contamination puts one of the most trust-sensitive food categories at risk. The dashboard stress-tests detection, traceability and response strategies against adversarial behaviour.

Baby milk powderIntentional contaminationAdversarial scenarios

Expected impact

Supply chains that are less vulnerable to food safety threats.

Across both use cases — mycotoxin contamination of the wheat supply chain and intentional contamination of the baby milk powder supply chain — ENRESFOOD works to make the chains measurably harder to disrupt.

Balanced measures

Control measures chosen together

Stakeholders with different perspectives interact and discuss the choice of control measures, so balanced measures are chosen rather than one-sided fixes.

Public trust

Trust in food governance

Transparent, multi-actor decision-making improves public trust in how food safety threats are governed and communicated.

Adaptation

Learning chains that adapt

Stakeholder interaction fosters learning and adaptation, further increasing the resilience of food supply chains against future shocks.

Get involved

How can you engage?

ENRESFOOD is built with its stakeholders, not just for them. Whether you represent a sector organisation, a public authority, a company, or a research group — there is a seat at the table.