Effective training of transferrable skills related to open science and innovation for early-stage researchers
DISCOVERING LEARNING aims at creating new knowledge by experimenting towards Proof of Concept of a new model to implement a participatory, empowered and evolutionary work-based learning in PhD programmes for effectively training transferable skills related to open science and innovation; as well as building actionable knowledge for future scalability and sustainability of results and traceable lifelong learning. The final purpose is to build evidence (KPI) about what works in higher education for training transferable skills related to open science and innovation.
For this purpose, DISCOVERY LEARNING model involves different players (academic and non-academic) and types of training (digital, gamified…), and taking advantage of blended learning to integrate non-academic environments and “experience-holders” (e.g. industry). It will be tested with a relevant portfolio of contents for training transferable skills related to open science and innovation, integrated into UIO Faculty of Mathematics and Natural Sciences PhD Programme.