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BIA-Brukerstyrt innovasjonsarena

H-SEIF - Harvesting value from big data and digitalization through a Human Systems-Engineering Innovation Framework

Alternative title: H-SEIF - Verdiskapning gjennom stor-data og digitalisering inn i et menneskefokusert system-engineering innovasjon nettverk.

Awarded: NOK 14.6 mill.

H-SEIF is a collaborative framework that helps engineers and designers create innovative systems that can be used for and by humans. The first phase of the Human Systems Engineering Innovation Framework was about developing Technology with Empathy. The companies identified that they needed a framework that encourages (1) early validation of new concepts (2) the transfer of human insights, and (3) to explore "wow" innovations among engineers. This phase, Phase 2 of the Human Systems Engineering Innovation Framework (H-SEIF 2), will create a collaborative framework that strengthens efficient system development, specifically aimed at creating data-supported early decisions. This project will expand the collaboration framework and open up the possibility of making the right decisions at an earlier stage by obtaining unspoken information and making it available to useful knowledge early in system development. The project will update existing frameworks with the latest in simulations, digital twins, data analysis and big data solutions. The key research takes place through the expert environment of Systems Engineering at the University of Southeast Norway (USN) and the School of Architecture and Design (AHO). Two full-time scientific resources have been employed through 2021. Nine different company partners open up for research on data-driven projects. Using the company projects as a laboratory, ensure problem-related research. The Kongsberg-based development house Semcon owns and leads the project, which aims to help ensure the convergence power and relevance of Norwegian industry to innovation and innovation within the data-driven economy. This project helps to make Norwegian business and industry more resilient in the face of the future, and it is crucial that academia and industry work so closely together to meet the global challenges An important starting point is that the landscape around the companies and customers will change. The pandemic has shown how vulnerable global supply chains are. The climate and natural crisis will place greater demands on regenerative processes at all levels to limit footprints and reuse resources. The project has identified where we are today and what kind of desirable common vision of the future we see. Going forward, an important part of the research questions is how we can contribute to getting there.

Today’s large-scale, highly complex systems, such as telecom, space, transportation and energy, depend on each other and interact in ways unimagined until recently. At the same time, the Norwegian high-tech industries face rapidly changing market needs. The customers demand new and integrated systems that are attractive to use. The partner companies, supplying complex systems in challenging markets, must increase the effectiveness of their engineering and innovation processes. These high-tech industries search methodologies that increase their value proposition, cope with complexity, and at the same time reduce development risk. A mismatch late in the project, between unspoken stakeholder needs and the engineered solutions, normally leads to costly reworks and un-attractive systems. This is a reason for why collaborative methodologies and co-creation is highly recommended. Large-scale complex systems are hard for people to envisage, especially before they are made. Such systems, though, have abundant data from multiple sources. Despite the high potential for increasing speed and quality of product development, these data rarely come to use. A common reason is that the industrial actors find it challenging to generate business and customer value from the myriad of digital data, initiatives, and opportunities. This project will enable data-supported early decisions into a collaborative framework, and use industry as laboratory in a series of cases to give cross-industry learning and cross-company validation for the new framework. The project is utilizing a wide range of data sources. Many of the partners are more and more interested in using sustainability data to improve systems and services.

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BIA-Brukerstyrt innovasjonsarena