Coevolution of machine learning and process-based modelling to revolutionize Earth and environmental sciences: A perspective

Machine learning (ML) applications in Earth and environmental sciences (EES) have gained incredible momentum in recent years. However, these ML applications have largely evolved in ‘isolation’ from the mechanistic, process-based modelling (PBM) paradigms, which have historically been the cornerstone of scientific discovery and policy support....

Train travel in corona time: Safety perceptions of and support for policy measures

To minimize the risk of becoming infected by the Coronavirus while traveling by train, the national government and the Dutch railways' operator (NS) in the Netherlands have taken several policy measures. These involve that passengers have to wear masks and guidelines are issued for working at home and teaching online. In addition, other policy...

Circular economy in industrial design research: A review

In the past decades, industrial design practice and research have focused extensively on how to optimize production and consumption, as a way to prevent negative environmental impacts, such as resource depletion, pollution, and excessive waste. Recently, the “circular economy” concept is increasingly used to achieve environmental benefits and...

Agent-based models for policy makers

In order to support policy decisions, we have developed a modelling platform called AgentSpring, which facilitates the development of agent-based models in a modular and structured manner, using state-of-the-art IT development principles and tools. An attractive web-based interface allows for the interaction with policy makers. A model named...

De rol van klimaatverandering in het Ministerie van Verkeer en Waterstaat: Een verkenning

Danube Environmental Programme - Hron river basin pre-investment study: Water quality and Decision Support System (DSS) sub-project