Collected data using our algorithms are presented to the actors involved and validated. Also, we present our data as soon as possible to the community, looking for the feedback and community validation. Using community validation we ensure the great quality of data.
Data is collected from various sources, integrating data from known social innovation databases, social media, projects’ and actors’ web pages and news portals.
Our algorithms based on natural language processing, text mining and machine learning ensures the database is sustainable and it will be able to continue updating itself in future with low human maintenance.
European Social Innovation Database is the database of social innovation projects and actors in European area. The project is funded by European Union as part of the KNOWMAK project. The database is developed at The University of Manchester, Alliance Manchester Business School, Manchester Institute of Innovation Research.
The main goal is to collect and classify social innovation projects and actors. Our aim is to automate process by using text mining, natural language processing and machine learning, so the database can be sustainable and continue to collect data on projects and actors in future.