Tracking and visualizing states as fossil fuel owners

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Tracking and visualizing states as fossil fuel owners

Nation states still own and control about 60% of global oil and gas production. This makes states as owners important actors for global decarbonization efforts. At the same time, we have...

Interacting factors in school choice – Modelling consequences for school segregation with an agent-based model

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Interacting factors in school choice – Modelling consequences for school segregation with an agent-based model

School segregation, the (uneven) distribution of children with particular characteristics (e.g. ethnicity, income, education) between schools, is a persistent problem in many educational...

The robot or the brain? Building a classifier for visual news frames of Artificial Intelligence

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The robot or the brain? Building a classifier for visual news frames of Artificial Intelligence

In media images, Artificial Intelligence (AI) applications such as virtual assistants are often portrayed as brains or human-like robots. News media influence how readers think about these...

Transparency in the Netherlands’ Nonprofit Sector

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Transparency in the Netherlands’ Nonprofit Sector

The contribution of philanthropic activities to positive societal change is unclear because we have little data about philanthropic organizations. This project uses computational social...

Markets for Resilience or “Disaster Capitalism”?

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Markets for Resilience or “Disaster Capitalism”?

Bingley Floods 2015 Boxing Day - Brown Cow Bingley

The Organisation for Economic Co-operation and Development (OECD) is a major donor and norm-setter in global water...

Reducing Energy Consumption in Radio-astronomical and Ultrasound Imaging Tools (RECRUIT)

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Reducing Energy Consumption in Radio-astronomical and Ultrasound Imaging Tools (RECRUIT)

When it comes to algorithms, technologies and energy constraints, imaging efforts in radio astronomy and medical ultrasound share fundamentally similar challenges, both near the edge and...

High-throughput GPU computing for New Physics searches with electrons in LHCb (GAHTIe)

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High-throughput GPU computing for New Physics searches with electrons in LHCb (GAHTIe)

In recent years, the LHCb experiment has found tantalizing hints of new quantum effects in very rare processes where so-called B-particles decay to muons or electrons. Although combinations...

Designing and modelling future systems of energy systems (DEMOSES)

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Designing and modelling future systems of energy systems (DEMOSES)

Energy system modelling is the process of building digital models of energy systems in order to analyze them. This allows us to support market parties, energy network operators and...

Next Generation Sector-Coupling Models for Optimal Investments and Operation (NextGenOpt)

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Next Generation Sector-Coupling Models for Optimal Investments and Operation (NextGenOpt)

We hear a lot about the importance of efficient, reliable and sustainable energy for the future. But how can this be achieved? The main goal of this project, NextGenOpt, is to facilitate the...

Using hydrogen value chain to transition to a cleaner, low carbon future (HyChain-ESI)

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Using hydrogen value chain to transition to a cleaner, low carbon future (HyChain-ESI)

Hydrogen value chain deployment is the production, storage, transportation and usage of hydrogen. It is an integral part of the emerging hydrogen economy that supports energy system...

An artificial brain for interpreting and accelerating physics-based simulations of granular materials

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An artificial brain for interpreting and accelerating physics-based simulations of granular materials

How do we keep dikes safe with rising sea levels? Why are ripples formed in sand? How can we prepare for landing on Mars? At the core of these questions is the understanding of how grains, as...

Unravelling Proton Structure with Hyperoptimized Machine Learning

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Unravelling Proton Structure with Hyperoptimized Machine Learning

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At energy-frontier facilities such as the Large Hadron Collider, scientists study the laws of nature in their quest for novel phenomena both within and beyond the...

Integrating Quantum Computers into a Radio Telescope

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Integrating Quantum Computers into a Radio Telescope

Radio astronomy relies on abundant and affordable computing capacity. We are rapidly approaching physical limitations that inhibit the continued growth of conventional technology....

Resilience and Cyber Security of Integrated Cyber-Physical Energy Systems (RESCUE)

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Resilience and Cyber Security of Integrated Cyber-Physical Energy Systems (RESCUE)

RESCUE develops advanced mathematical and computational foundations, methods and technologies to protect utilities from state-sponsored cyber-attacks. It will also work to ensure the Control...

Technologically and socially feasible transition pathways for local energy system integration (TeSoPs)

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Technologically and socially feasible transition pathways for local energy system integration (TeSoPs)

TeSoPs uses an integrative approach to identify, develop and assess technically, economically and socially feasible transition options and pathways to make heat systems more...

Development of the European fusion reactor simulation framework for experimental design, optimization and control

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Development of the European fusion reactor simulation framework for experimental design, optimization and control

Fusion energy is a promising technology for high density, CO2-free energy production. The next generation of magnetic fusion experiments aims to demonstrate the possibility of net energy...

Efficient and robust open-source modelling platform for Energy Transition applications

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Efficient and robust open-source modelling platform for Energy Transition applications

Subsurface reservoirs are used for various applications that are part of the energy transition towards zero-carbon energy sources. They can serve as a direct source of energy (geothermal...

A Worldwide Source Code Index for Scientific Software FAIRness (SearchSECO)

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A Worldwide Source Code Index for Scientific Software FAIRness (SearchSECO)

FAIR principles stands for Findable, Accessible, Interoperable and Reusable. Making research software FAIR is important because, while research software is widely used in academic research,...

The eye of the beholder: Transparent pipelines for assessing online information quality

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The eye of the beholder: Transparent pipelines for assessing online information quality

The amount of online information online and the impact it has on society imply the need for an automated assessment of information quality. As quality assessments can be perceived as...

In-Silico Meat

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In-Silico Meat

Multiscale whole-system modeling of bioreactors for the optimization of cultivated meat production

SecConNet

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SecConNet

Smart, secure container networks for trusted big data sharing

Stochastic Multiscale Climate Models

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Stochastic Multiscale Climate Models

Coupling an implicit low-resolution model to an explicit high-resolution ocean model

MULTIXMAS

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MULTIXMAS

Multiscale simulations of excitation dynamics in molecular materials for sustainable energy applications

A phase field model to guide the development and design of next generation solid-state-batteries

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A phase field model to guide the development and design of next generation solid-state-batteries

Safer batteries with higher energy densities

Passing XSAMS

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Passing XSAMS

New tools for researchers in plasma, combustion and chemical reactor science

A light in the dark

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A light in the dark

Quantum Monte Carlo meets solar energy conversion

eScience Technology to Boost Quantum Dot Energy Conversion

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eScience Technology to Boost Quantum Dot Energy Conversion

More efficient lighting and solar energy conversion devices

Parallel-in-time methods for the propagation of uncertainties in wind-farm simulations

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Parallel-in-time methods for the propagation of uncertainties in wind-farm simulations

Studying uncertainties in large eddy simulations of wind farms

Computation of the Optical Properties of nano structures

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Computation of the Optical Properties of nano structures

Accurate and Efficient Computation of the Optical Properties of Nanostructures for Improved Photovol

Scalable high-fidelity simulations of reacting multiphase flows at transcritical pressure

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Scalable high-fidelity simulations of reacting multiphase flows at transcritical pressure

Solving a scalability problem through dynamic multi-level parallelization

FEDMix

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FEDMix

Fusible evolutionary deep neural network mixture learning from distributed data for robust medical image analysis

SecConNet

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SecConNet

Smart, secure container networks for trusted big data sharing

Inside the filter bubble

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Inside the filter bubble

A framework for deep semantic analysis of mobile news consumption traces

Genetics of sleep patterns

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Genetics of sleep patterns

Detecting human sleep from wearable accelerometer data without the aid of sleep diaries

Blue-Action

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Blue-Action

Arctic impact on weather and climate

e-MUSC

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e-MUSC

Enhancing multiscale computing with sensitivity analysis and uncertainty quantification

AA-ALERT

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AA-ALERT

Access and acceleration of the Apertif Legacy exploration of the radio transient sky

Automated Parallel Calculation of Collaborative Statistical Models

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Automated Parallel Calculation of Collaborative Statistical Models

Large scale statistical data analysis in particle physics

eWaterCycle II

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eWaterCycle II

Overcoming the challenge of locality using a community multi-model environment

MOSAIC

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MOSAIC

Modelling sea level and inundation for cyclones

Understanding visually grounded spoken language via multi-tasking

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Understanding visually grounded spoken language via multi-tasking

An alternative approach for intelligent systems to understand human speech

RECEIPT

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RECEIPT

Visual stories based on scientific data

IS-ENES3

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IS-ENES3

Providing the infrastructure to better understand and project climate variability and change

ESiWACE2

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ESiWACE2

For future exascale climate and weather predictions

CORTEX

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CORTEX

Self-learning machines hunt for explosions in the universe and speed up innovations in industry and society

ReaxPRO H2020

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ReaxPRO H2020

Software platform for multiscale modelling of reactive materials and processes

Perfect Fit

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Perfect Fit

Targeting key risk factors for cardiovascular disease in at-risk individuals using a personalized and adaptive approach

STRAP

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STRAP

Self tracking for prevention and diagnosis of heart disease

MyDigiTwin

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MyDigiTwin

Using big data to put a cardiovascular digital twin into the hands of people

CARRIER

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CARRIER

Coronary artery disease: risk estimations and interventions for prevention and Early detection – a personal health train project

Eratosthenes

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Eratosthenes

Chasing shadows to investigate glacier change worldwide

Remote sensing of damage feedbacks and ice shelf instability in Antarctica

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Remote sensing of damage feedbacks and ice shelf instability in Antarctica

Using remote sensing to develop damage indicators across all Antarctic ice shelves

The PetaFLOP AARTFAAC Data-Reduction Engine (PADRE)

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The PetaFLOP AARTFAAC Data-Reduction Engine (PADRE)

Improving the AARTFAAC processing pipeline

A new perspective on global vegetation water dynamics from radar satellite data

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A new perspective on global vegetation water dynamics from radar satellite data

Monitoring radar backscatter

DarkGenerators

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DarkGenerators

Interpretable large scale deep generative models for Dark Matter searches

CHEOPS

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CHEOPS

Verified construction of correct and optimised parallel software