National knowledge platform for social innovation
Reference number | |
Coordinator | Malmö universitet - Mötesplats Social Innovation |
Funding from Vinnova | SEK 13 980 000 |
Project duration | January 2019 - May 2021 |
Status | Completed |
Important results from the project
The project has enabled MSI to scale & get established as the national knowledge and collaboration platform that increases knowledge development & opportunity for practitioners - & potential practitioners - in social innovation, social entrepreneurship, & social enterprise to meet. The work has contributed to Sweden’s strategy for social entrepreneurship & social innovation, especially the target area of generating knowledge & creating meeting arenas, by building capacity for social innovation & establishing linkages to interesting international environments.
Expected long term effects
5 universities have established regional nodes of MSI & gathered over 6,200 people from all sectors in 88 meeting arenas. MSI has become a more established resource for policy development. International connections have strengthened through 13 new collaborations & MSI representing Sweden in EU´s initiative on national competence centers for soc innovation. The impact measurement shows that social innovation has strengthened as a driver of social progress in Sweden during the project & that MSI has contributed to this development as a knowledge generator, meeting arena & catalyst.
Approach and implementation
Collaborating as MSI, all universities experience they’ve strengthened their national reach & created conditions for significant international potential. Key success factors are perceived as the generous exchange of knowledge, high ambition & kept momentum in the project implementation, & well-functioning joint communication that altogether strengthened the joint impact of the network. Resource constraints and different starting points for the partners have at times posed challenges but going forward all parties see great value in safeguarding the collaborative model.