SciTransfer
Organization

HKV LIJN IN WATER BV

Dutch water risk consultancy specializing in flood forecasting, disaster resilience, and climate adaptation with growing ML capabilities.

Technology SMEenvironmentNLSME
H2020 projects
3
As coordinator
0
Total EC funding
€702K
Unique partners
58
What they do

Their core work

HKV is a Dutch water management consultancy specializing in flood risk analysis, hydrological forecasting, and climate adaptation strategies. They translate complex climate and water data into practical risk assessments and decision-support tools for water authorities, governments, and infrastructure managers. Their work spans from predicting hydrological extremes to evaluating and standardizing disaster resilience innovations for real-world deployment.

Core expertise

What they specialise in

Hydrological risk assessment and forecastingprimary
2 projects

Core contributor in IMPREX (hydrological extremes prediction) and CLINT (climate extreme event detection).

Flood and disaster resilienceprimary
2 projects

Participated in BRIGAID (bridging innovation gap for disaster resilience) and IMPREX (risk management for water extremes).

Climate change adaptation planningprimary
3 projects

All three projects — IMPREX, BRIGAID, and CLINT — address climate adaptation from different angles.

Innovation testing and implementation frameworkssecondary
1 project

BRIGAID focused on demonstration facilities, testing frameworks, and business plans for disaster resilience innovations.

Machine learning for climate intelligenceemerging
1 project

CLINT (2021-2025) applies machine learning to extreme event detection and attribution.

Evolution & trajectory

How they've shifted over time

Early focus
Hydrological risk prediction
Recent focus
ML-driven climate intelligence

HKV's early H2020 work (2015-2019) centered on traditional hydrological risk management — predicting water extremes and developing adaptation strategies through IMPREX. The mid-period (BRIGAID, 2016-2020) shifted toward practical innovation deployment, testing disaster resilience technologies and building business cases for their adoption. Their most recent project, CLINT (2021-2025), signals a clear move into data-driven climate intelligence using machine learning, suggesting the firm is digitizing its historically domain-expert-driven approach.

HKV is evolving from a traditional water risk consultancy toward AI-augmented climate analytics, making them increasingly relevant for projects combining domain expertise with data science.

Collaboration profile

How they like to work

Role: specialist_contributorReach: European14 countries collaborated

HKV operates exclusively as a project participant, never as coordinator — consistent with a specialist consultancy contributing focused expertise to larger consortia rather than managing them. With 58 unique partners across just 3 projects, they work in large, diverse consortia (averaging ~20 partners per project). This means they are experienced at integrating into complex multi-partner efforts and delivering defined work packages without needing to drive the overall project.

Despite only three projects, HKV has built a broad European network of 58 unique partners across 14 countries, reflecting their participation in large-scale climate and disaster resilience consortia. Their network is heavily European with no apparent geographic concentration beyond the Netherlands.

Why partner with them

What sets them apart

HKV combines deep Dutch water management expertise — from one of the world's most flood-experienced countries — with growing capabilities in machine learning and climate data analytics. Unlike pure academic partners, they bring a consultancy mindset: practical risk assessments, decision-support tools, and implementation-ready outputs. For consortium builders, they offer a reliable specialist who understands both the science of water extremes and the practical needs of water authorities and infrastructure managers.

Notable projects

Highlights from their portfolio

  • BRIGAID
    Their largest funded project (€319K), focused on the practical gap between disaster resilience innovations and market adoption — including business plans and testing standards.
  • CLINT
    Most recent project marking their entry into machine learning for climate extreme detection, signaling a strategic shift toward AI-driven approaches.
Cross-sector capabilities
Water infrastructure and urban planningInsurance and financial risk modelingAgriculture — drought and irrigation managementDigital tools and AI for environmental monitoring
Analysis note: Profile based on only 3 H2020 projects. The consultancy nature and water focus are clear, but the breadth of their capabilities beyond EU-funded work cannot be fully assessed from this dataset alone. The ML/AI shift is based on a single recent project with modest funding (€73K), so the depth of that capability remains uncertain.