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Compilation of use cases of open innovation to be addressed

Authors: Schwalm, H��l��ne;

Compilation of use cases of open innovation to be addressed

Abstract

A large corpus of experience and knowledge already exists on open innovation methodologies. However, the INOS (Integrating open and citizen science into active learning approaches in higher education) project aims at strengthening them by active learning approaches embedded in the learning design framework, a tool created to follow up the implementation and the assessment of open innovation in HEIs (Teo, 2020). This LDF, completed by the guidelines elaborated in September 2020, have been experimented with to design open innovation activities (OIAs). Indeed, over 2020-2021, partner HEIs within INOS planned to organise four short (1-2 day) and four long (4-6 month) OIAs. Finally, with the pandemic and the emergence of digitalisation in the implementation of activities, ten OIAs were organised in even more diverse formats. After describing the context of the study (section 1) and the methodology (section 2), the document proposes a compilation of ten use cases of open innovation activities classified according to their formats (section 3) and to their framework (intra or extra-curricular): the short events which last from half a day to one month (subsection 3.1) and the long events which last approximately one semester (subsection 3.2). Each case is presented into an ���identity sheet��� to identify their main characteristics such as their program, the kind of participants and mentors involved, their timeframe, their resources and finally, their learning goals. In conclusion, a final table (section 4) resumes some of these characteristics into seven components introducing the three dimensions (participant dimension, innovation dimension and socio-economical dimension), which will be the basis of the evaluation-to-come in the report as mentioned earlier and guide.

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Keywords

evaluation, pedagogy, open science, citizen science, implementation, open innovation

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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