Training: Data-driven Value Creation for Impact and Exploitation from Research and Innovation towards Business and Sustainability

Online or physical mode | Next event May 27 – read more

This is for researchers who want to position their research and career with impact and exploitation in alignment with the digital transition.

Researchers must store data and share if required. The data that research is producing can be used to create values, for example science data for machine learning and AI, digital twins. That relates directly to impact creation. The values can create assets, and that relates directly to exploitation pathways.

In this training we provide a full understanding from data to new business models.

• Shared data to create values for impact and exploitation towards business and sustainability
• Digitalisation: shared data in trustable, traceable and transparent ways
• Realistic impact beyond project duration — digital transition alignment with Horizon Europe requirements for post-project effects and preparing for FP10 expectations
• Impact and exploitation pathways for research and career development from shared data (stronger career and research since progress is motivated by realistic use of data)
• Contribution tracking: how digitally evidenced research contributions recorded today can be traced, valued and rewarded as their impact becomes clear over time, even years after the original work (how you can get reward many years after research contribution)
• Sustainability values and assets — how research contributions support business-motivated sustainable goals (so people actually want to pay for sustainability because it makes money)
• Digital assets and sustainability assets — realistic exploitation of innovation and technology
• New business models by shared data: investment in start-ups without giving away shares; for example expensive equipment (capex cost becomes opex cost, money is used for development instead of being locked in expensive equipment)
• Tokenization: a new investment platform built on evidenced readiness levels — from technology and societal readiness to commercialisation and market readiness
• Case study: tokenization of silicon carbide manufacturing by CS-PVT | a pilot and special purpose vehicle

We have training in online and physical mode. Given by Mikael Syväjärvi, Alminica AB; Mats Brodén and Lars Montelius, Nordic Powerhouse Wallet

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• Online edition (Zoom platform)
• Workshop fee: 450 EUR
• 6 hours from 9 AM to 4 PM (CEST)

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• Physical edition (conference cruise)
• Workshop fee: 800 EUR
• three days (Stockholm-Helsinki-Stockholm)
• introduction and 6 hours of lectures in the conference room
• exchange time between participants and one-to-one informal meetings between sessions
• individual meeting with trainers (if time allows)
• participant interaction by walk and talk in Helsinki (half day)

Workshop fee includes accommodation (own cabin with sea view), evening dinners (buffet), breakfasts. Lunch in Helsinki is on your own.
Participants may bring an accompanying person. The cabin is for two. Contact us early for this option for details and accompanying fee.

Each event is limited to 15 participants to ensure interaction. Submit the expression of interest form. It is to understand the participants’ career stages and research areas, preferences and desired dates. We will confirm if your preferred date is available after receiving expression of interest.

Why this is essential

Shared data is transforming how value is created in society. It underpins regulatory frameworks like the Digital Product Passport, drives AI development in technology and business, and shapes how products, services and policies are designed. Data that is accessible, combinable and shared across value chains enables optimisations that benefit entire sectors.

Research is part of this transformation. Results must be documented and shared as evidence of what has been achieved. Open access publications make findings available to other researchers and to AI systems that advance knowledge. But not all papers are open access, and valuable data also exists in lab books, datasets and unpublished records.

Data-driven implementation is no longer optional for researchers who want to create credible impact and exploitation. Without it, research risks to be not relevant as part of the digital and green transitions that are reshaping European society and economy.

Researchers who understand how shared data creates value and who understands how to position their work will have advantages, and strong motivations for realistic impact and exploitation. This training builds that understanding.