Energy-efficiency, resource recovery and availability of clean water are increasingly setting the agenda for technology development, including in the field of (waste)water treatment. In the proposed 3-day workshop, wastewater treatment innovations from the Netherlands and Brazil will be presented and current challenges will be discussed. Scientists, technology providers and end-users from both countries are invited to present their view on (waste)water management in the broader context of the circular economy, aiming for knowledge exchange and heading to a joint research agenda on municipal and industrial wastewater management and reuse options, embedded within the new Brazilian Water Research Centre.

In the Netherlands, approximately 1 million children (0-25 years) have a chronic disease. Above and beyond the ever-present challenges of growing up with an illness, these children have 40% chance to develop psychological problems, including depression, anxiety and loneliness. Throughout their life, this translates into decreased well-being and reduced social participation and generates additional costs for society. Early prevention of psychological problems is thus key to break this vicious cycle. Therefore, eHealth applications are promising. However, scientific knowledge is missing and validated tools are not yet available for this group and involved health care professionals. Our mission is to make scientifically validated eHealth tools that allow personalized and trans-diagnostic prevention of psychological problems widely available for this highly vulnerable group of chronically ill children and future adults, through an accessible, user-friendly, safe, and sustainable platform. To succeed in this mission, we present an iterative learning cycle approach in two four-year phases during which we gather the insights, and develop, evaluate, and implement the much needed eHealth tools: I. Development: Distil and validate the theoretical and game-design factors that make eHealth effective for chronically ill children. II. Evaluation: Evaluate trans-diagnostic and personalized eHealth tools for chronically ill children, using and developing state-of-the-art methods. III. Implementation: Study and remove the barriers that currently hinder implementation and uptake, and threaten availability of eHealth applications for chronically ill children. Our eHealth junior consortium includes (applied) researchers, pediatricians, psychiatrists, psychologists, patient organizations, knowledge centers, game designers, industrial designers, insurance companies, and business professionals. We will collaborate with the end-users (children, families, and professionals) in order to achieve both international scientific breakthroughs and optimal clinical and societal impact. Knowledge utilization is a crucial part of our project.

This project makes use of advanced high-resolution models of the atmosphere to simulate weather and atmospheric composition in The Netherlands during measurement campaigns of the Ruisdael Observatory. The measurements of this large-scale measurement infrastructure in The Netherlands offer a unique opportunity to test these models, and to acquire novel insight into the atmospheric processes governing the weather and air quality in The Netherlands. This knowledge is needed for a more detailed weather prediction, for example of extreme weather, improved forecasting of urban air quality, and monitoring of the greenhouse gas emission reductions that are planned for the coming decades.

Electrical power systems occasionally operate close to their stability limits. In future, the increase in generation from remote renewable sources (PV and windgenerators) will intensify stability problems and accordingly, will increase the uncertainty of system reliability. Unexpected disturbances and inadequate system monitoring can cause catastrophic failures, leading to blackouts, as seen worldwide. Existing measurement and control schemes cannot cope with these problems. A common reason for the occurrence of blackouts is lack of coordinated control when the system is affected by large disturbances [1]. In order to prevent large-scale blackouts, extensive research into new applications and radical changes in the complexity of Information and Communication Technology (ICT) is needed. In future, it is expected many fossil-fuel power stations to be replaced by bulk renewables. This raises some questions: What will be the frequency response of the future network after a large disturbance? Will traditional preventive control actions be effective enough? How can they be improved? If not, will new options involving flexible real-time corrective control of conventional and renewable generation provide better solutions? In this project, the main idea is to create a wide-area intelligent system, that empowers future power grids by providing extensive synchronised information in real-time, assessing system vulnerability quickly, and performing timely corrective control actions based on system considerations. The focus of this project will be on the design of a new closed-loop corrective control scheme; elimination of system frequency instability, cascading outages and catastrophic blackouts in existing and future electricity networks.