Much stress in the first 1000 days, from pregnancy to 2 years, can be harmful for life. HEALS Applied aims to detect such stress in young children at an early stage, and where necessary support the parents. HEALS Applied combines knowledge about co-creation and stress with the excellent Dutch preventive care during pregnancy and at well-child care, and develops new methods for early detection of harmful stress. HEALS Applied thus contributes to healthy and safe growing up of children, and provides new knowledge about stress; about sensors and biomarkers; about better support for parents; and about application in preventive care.

Artificial Intelligence (AI) plays a crucial role within the Dutch Ministry of Defence (MoD) to provide safety and security. Examples are enabling high speed processing of big data, and intelligent, unmanned robots. The introduction of AI-technology in defence also raises a host of ethical, legal, and societal concerns, including how to keep AI-powered systems under meaningful human control, and how to maintain human dignity when giving autonomy to machines. The ELSA Lab Defence addresses this question by developing a future-proof, independent and consultative ecosystem that enables the responsible use of AI in defence.

This project integrates the concepts of IoT and integrated quality-controlled logistics and applies it in real use case settings in perishable supply chains: real-time control of relevant climate conditions, logistics decision support how to act accordingly, and anticipate with dynamic acceleration options in the perishable supply chain.

In this project the impact of connected and automated transport on reduction of emissions (both CO2 and pollutants) will be monitored, analysed and made transparent. First for the direct impact for short distance freight transport to, from and at yards; secondly for the possible amplifying effect on longer distance transport at corridors.

The developments of digitalization and automation in freight transport and logistics are expected to speed-up the realization of an adaptive, seamless, connected and sustainable logistics system. CATALYST determines the potential and impact of Connected Automated Transport (CAT) by testing and implementing solutions in a real-world environment. We experiment on smart yards and connected corridors, to answer research questions regarding supply chain integration, users, infrastructure, data and policy. Results are translated to overarching lessons on CAT implementations, and shared with potential users and related communities. This way, CATALYST helps logistic partners throughout the supply chain prepare for CAT and accelerates innovation.