News

Sparcification

Imagine trying to model a coastal ecosystem from scratch. You have a few hundred species, dozens of nutrients and pollutants, a handful of fishing fleets, several tourism pressures, and a climate signal running through all of it...

Offshore Wind and Marine Ecosystems: Co-existence or Compromise?

Europe’s offshore wind ambitions are enormous. The European Commission’s target of at least 60 GW of installed offshore wind capacity by 2030, rising to 300 GW by 2050, would require industrialising large areas of the continental shelf...

EcoTwin at "Environment and Economy": Prof. Sylaios on Digital Twins for Regional Climate Resilience

As part of EcoTwin's ongoing dialogue with regional stakeholders on digital environmental monitoring and climate resilience, EcoTwin participated as a keynote speaker at the thematic event "Environment and Economy."

Causal Inference for Non-Statisticians: A Marine Science Primer

Here is a pattern that will be familiar to anyone who has worked with marine data. Sea surface temperatures rise in a coastal region. A few weeks later, a phytoplankton bloom appears.

EcoTwin EGU

Prof. Georgios Sylaios and his team represented the EcoTwin project at the European Geosciences Union (EGU) General Assembly 2026 in Vienna, presenting new research that brings advanced marine forecasting and environmental risk modelling.

What-Generative-AI-Can-(and-Can't)-Do-for-Ocean-Science

Large language models and generative AI have arrived in marine science, as they have everywhere else. The tools are impressive. The claims made on their behalf are sometimes more impressive still.

The Data Gap Nobody Talks About: Social Data in Marine Science

Marine ecological models have improved enormously over the past two decades. We can now simulate ocean currents, track nutrient cycling, and predict species distribution shifts under climate scenarios with impressive precision.

Digital-Twins-Beyond-the-Factory-Floor--What-'Twinning'-an-Ecosystem-Actually-Means

The term "digital twin" has become difficult to avoid. It appears in corporate strategy decks, government policy documents, and research funding calls with increasing regularity.

Why-Marine-Ecosystems-Are-So-Hard-to-Model

The ocean covers roughly 71% of the Earth's surface and generates about half of the planet's oxygen. It regulates our climate, feeds billions of people, and supports a web of biodiversity we are still only beginning to catalogue.

Graph Neural Networks: A New Tool for Causal Discovery in Marine Environments

Marine socio-ecological systems are profoundly interconnected. Species interact through food webs, habitats influence community structure, and human activities shape ecological outcomes in ways that ripple across space and time.

Causal Networks

Marine environments and their ecosystem dynamics are full of uncertainty. Fish stocks fluctuate from year to year, plankton blooms appear and disappear, and coastal economies respond to shifting ecological and regulatory conditions.

The Do Operator and More: Causal Graphs for Marine Decision Making

Marine environments are shaped by a constant flow of complex interactions. Fish respond to nutrient levels, plankton blooms rise and fall with temperature, and coastal communities change fishing practices as policies evolve.