Het doel van dit voorstel is om met behulp van de ‘NWA route ondersteuning’ te komen tot onderzoeks- en innovatieplannen op het gebied van Smart Industrie tussen bedrijven en kennis-en onderwijsinstellingen. De nadruk zal in deze plannen specifiek liggen op ontwikkeling en valorisatie van Engineering en Fabrication Technologies. Hier ligt immers de kern van veel verdienvermogen van Nederland. Denk aan hightech equipment voor veiligheidsoplossingen, de healthcare sector, de procesindustrie en de agro en food sector. Hiervoor worden een aantal activiteiten voorgesteld, waaronder: 1. Een compacte stakeholder analyse om de relevante en nieuwe stakeholders te selecteren, die wij in eerdere trajecten nog niet hebben kunnen meenemen omdat wij die nog niet in beeld hadden; 2. 1 grote route workshop met sub sessies1 om de eerder genoemde stakeholders uit het Smart industrie domein bij elkaar te brengen, op diverse Smart Industry onderwerpen (zoals flexibele productietechnologie, smart work, digital twinning, data delen en eventuele crossovers op deze onderwerpen etc); 3. Inclusief aanvullende gesprekken om de behoeften en kansen te identificeren om te komen tot contouren voor concrete innovatieplannen.

This Ursa Major neo Connected Truck Trials project is being carried out by TNO (coordinator) with 7 logistics parties: De Rijke Transport, DHL Global Forwarding, Getru Companies, GVT Group of Logistics, Overbeek Int. Transport, Starmans Transporten, and Van der Slot Transport. With support from DAF Trucks, Rijkswaterstaat (the Ministry of Infrastructure and Water Management), RDW and the Port of Rotterdam. Ursa Major neo Connected Truck Trials (UMneo) will be the first real real-life truck platooning trial on Dutch roads, with real cargo on board, embedded in the logistic operations of transport operators working in container and floriculture logistics. Our ambition is to test a number of months with approximately 10 ACC and C-ACC-capable trucks - equipped with sensory and data collection equipment - on public Dutch roads. This data will be used in statistical and scientific analyzes to make statements about (1) fuel consumption and CO2 reduction, (2) the impact on the strain and dynamic driving task of professional truck drivers, (3) and insight into the logistical business case of truck platooning. In particular, the emphasis will be on the role of drivers in platooning trucks and the logistics business case and fuel savings. We are bridging many scientific domains in our approach, combining psychology, traffic analysis and civil engineering, business administration and logistics management and operations research. This is a major step towards unlocking a strong business and social business case of highly-scaled up truck platooning. This is a cross-over with Topsector High Tech Systems and Materials Connection to roadmaps Top Sector Logistics: Synchromodality, Cross Chain Control Centers, Human Capital Agenda Organization responsible for application: TNO

The HAPKIDO project studies the transition to quantum-safe public-key infrastructures (PKIs). The project has been running for three years and is characterized by a multidisciplinary approach: fundamental cryptographic research, technical analysis and prototyping, and governance and societal aspects. The first line focuses on the security proofs of quantum-safe digital signing methods; in the second line, a demonstrator is being developed for signing on electronic documents. Finally, within the last line, various governance aspects of quantum-safe PKIs are central in various scientific publications. There is a HAPKIDO website www.tno.nl/hapkido where all reports and other HAPKIDO material can be found.

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Public Safety is vital for the functioning of societies: Without safety there is no freedom, no happiness, and no prosperity. The public good of safety matters to all of us, and therefore needs to be jointly shaped and maintained by all societal partners. Data generated by multiple agents play an increasingly important role in the prevention, preparedness and mitigation of harm or disaster. The development of an ecosystem of trust regarding AI assisted public safety promotion is central to this ELSA Lab application. In a variety of use cases benefits and safeguards are analyzed against the private-public-machine agency backdrop.