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

Online or physical mode | Register for next on our R2B web page

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