Data-Driven Value Creation | Course
Data-Driven Value Creation for the Digital Transition – Course
Next course Sep 3, 2026 | 9-12 AM (CEST) | Online via Zoom
Contact us to register
Research outputs must include the digital transition to become outcomes. Research may have technological readiness but without a digital transition dimension it lacks relevance in the European context of green and digital transition.
This course will provide understanding of how data-driven value creation is a key relevance for the digital transition in research.
The digital transition is no longer optional.
Data must be shared. Storing data is required to evidence published results. Your research is part of a value chain that can only optimise by sharing data. Machine learning and AI make better use of data for faster research progress but should not be developed in isolation. Regulations including Digital Product Passports and data spaces require data to be shared. In the EU this is framed as the green and digital twin transition.
Since you are already required to store data and will share it, this can be used to position your research and career progression.
The course introduces how shared data creates value, exploitation pathways, and relevant impact motivation. It covers how values can become assets which include exploitation and business models that fund post-project activities and show how research can have lasting impact, progress to higher technology readiness levels, and reach realistic commercialisation.
Course
Data-driven Value Creation for the Digital Transition: Essentials and Future Perspectives
Half-day format, 2.5 hours, group, announced dates.
A course with lecture and Q&A focusing on practical perspectives for aligning research activities with the digital transition. The course introduces participants to the digital transition and provides practical perspectives on how data in research activities can create value and relevant motivation for the transition. This can be achieved by implementing data-driven approaches in research to provide realistic impact and exploitation. We share a real case example from our own pilot (GlobalSiC).
The course gives insight into how shared data creates long-term impact through assets, exploitation pathways and new business models. This includes how data-driven value creation can attract investment as technology reaches higher readiness levels and application in society. The course also addresses positioning for research funding in the next Research and Innovation Framework Programme (FP10, 2028–2034).
Course fee: 350 EUR.
Some content:
– Introduction to the digital transition in the European context
– Motivation for why including the digital transition is necessary for a research topic
– Shared data as part of realistic exploitation pathways — from outputs to outcomes
– Choice of data sources to support value chain optimisation
– Trusted source data for key performance indicators which evidence sustainability
– Data-driven value creation: building toward digital and sustainability assets
– New business models for funding and investment to align technology readiness with societal readiness.
– Example from the GlobalSiC pilot project with real-world implementation
Those who want to develop own case can join the training at 400 EUR fee. Either the research track, or the green technologies track.
The GlobalSiC pilot case that we will share is a part of Wafer Ecosystem. The pilot case is explored together with Mats Brodén (expert in creating value and assets from data) and Lars Montelius (former director International Iberian Nanotechnology Laboratory, INL that is the first International Intergovernmental Organisation (IGRO) in Europe conducting world-class research and development in the field of nanoscience and nanotechnology. He is currently member executive board The Innovative Advanced Materials Initiative, IAM-I that is the international non-profit Association that will operate the European co-programmed partnership Innovative Advanced Materials for Europe.
Lectures by Mikael Syväjärvi who has more than 20 years of experience from international technology transfer, start-up creation and research-to-business activities. This experience forms the basis for his SME, Alminica AB, which contributes to European research projects with transfer of knowledge for impact and exploitation from research and innovation towards business and sustainability. Recent examples include the EU FET Open project SiComb (2020–2024) and the EIC Pathfinder project rePowerSiC (2024–2028). He is accepted as a mentor in the two European Innovation Council (EIC) 2026 programmes EIC Tech to Market and EIC Women Leadership. These activities support researchers and innovators in areas such as value proposition development, early-stage commercial thinking, leadership development, and strategic reflection on future opportunities arising from research and innovation.