In the age of Big Data, companies and governments are increasingly using algorithms to inform hiring decisions, employee management, policing, credit scoring, insurance...

Machine learning algorithms can now identify patterns and correlations in (big) datasets and predict outcomes based on the identified patterns and correlations. They can then...

Society is increasingly relying on data-driven predictive models for automated decision making. This is not by design, but due to the nature and noisiness of observational...

This article presents the first, systematic analysis of the ethical challenges posed by recommender systems through a literature review. The article identifies six areas of...

Predicting the silver-cheeked toadfish invasion of the Mediterranean Sea: An overall habitat suitability map and an effective geographical spread map for Lagocephalus...

This Python notebook demonstrates how all kinds of crop field related data (for the Netherlands) can be retrieved from the AgroDataCube API.

This Python notebook demonstrates how an algorithm published in DataMiner can be executed from the notebook and output files retrieved from the VRE Workspace.

Experimental semantic search interface for a subset of the AgroDataCube data. Created for the Cybele EU project by Raul Palma.

Short presentation that highlights a few key functionalities of the Virtual Research Environment (VRE).

A webcast by Wageningen University and Research about the VRE focussing on use cases for agro-climatic modelling.

Infographic about Virtual Research Environments, produced by Landelijk Coördinatiepunt Research Data Management in The Netherlands.