Summary
About 50% of European sectors can be considered R&D-intensive. These industries account for 26% of employment and 39% of GDP within the EU. To stay competitive, companies must dedicate considerable amounts of human and financial resources in R&D. But R&D is not only done internally: collaboration between industrial and academic worlds is essential. However, knowledge transfer between researchers and industry is hampered by the lack of efficient tools for matching companies with the right researchers or organizations.
There is not an easy way to match companies with the most adequate researcher. Some IT solutions exist allowing companies to make manual explorations to find researchers: article search engines (Google Scholar), research analytics platforms (MonoCl), professional and academic networks (ResearchGate, LinkedIn). These search engines are not optimised with the purpose of finding individuals based on their knowledge. Limited to a group of keywords, they rely on the information shared by the researchers and do not facilitate the establishment and management of the collaboration.
Machine intelligence Sweden has developed ScienceRouter (SR), a machine learning web-based software that finds perfect matches between companies and researchers. It allows for long free text searches, unlocking 18 million open access research articles, which are continuously updated. SR also facilitates contracts and payments, reducing the on-boarding time and cost by 92%.
The Feasibility Study for this project will take 5 months and focus on an in-depth market study, technical validation and the development of a final business plan to take us to market.
SR opens up the market for contractual research projects and technical consulting opportunities valued globally at €15.3 B, from which we are targeting a market of €205 M per year, i.e. 1,3%. With this model and the successful completion of the innovation project, we estimate an EBITDA of €22.3M, creating 60 jobs by 2024.
There is not an easy way to match companies with the most adequate researcher. Some IT solutions exist allowing companies to make manual explorations to find researchers: article search engines (Google Scholar), research analytics platforms (MonoCl), professional and academic networks (ResearchGate, LinkedIn). These search engines are not optimised with the purpose of finding individuals based on their knowledge. Limited to a group of keywords, they rely on the information shared by the researchers and do not facilitate the establishment and management of the collaboration.
Machine intelligence Sweden has developed ScienceRouter (SR), a machine learning web-based software that finds perfect matches between companies and researchers. It allows for long free text searches, unlocking 18 million open access research articles, which are continuously updated. SR also facilitates contracts and payments, reducing the on-boarding time and cost by 92%.
The Feasibility Study for this project will take 5 months and focus on an in-depth market study, technical validation and the development of a final business plan to take us to market.
SR opens up the market for contractual research projects and technical consulting opportunities valued globally at €15.3 B, from which we are targeting a market of €205 M per year, i.e. 1,3%. With this model and the successful completion of the innovation project, we estimate an EBITDA of €22.3M, creating 60 jobs by 2024.
Unfold all
/
Fold all
More information & hyperlinks
| Web resources: | https://cordis.europa.eu/project/id/828048 |
| Start date: | 01-09-2018 |
| End date: | 31-01-2019 |
| Total budget - Public funding: | 71 429,00 Euro - 50 000,00 Euro |
Cordis data
Original description
About 50% of European sectors can be considered R&D-intensive. These industries account for 26% of employment and 39% of GDP within the EU. To stay competitive, companies must dedicate considerable amounts of human and financial resources in R&D. But R&D is not only done internally: collaboration between industrial and academic worlds is essential. However, knowledge transfer between researchers and industry is hampered by the lack of efficient tools for matching companies with the right researchers or organizations.There is not an easy way to match companies with the most adequate researcher. Some IT solutions exist allowing companies to make manual explorations to find researchers: article search engines (Google Scholar), research analytics platforms (MonoCl), professional and academic networks (ResearchGate, LinkedIn). These search engines are not optimised with the purpose of finding individuals based on their knowledge. Limited to a group of keywords, they rely on the information shared by the researchers and do not facilitate the establishment and management of the collaboration.
Machine intelligence Sweden has developed ScienceRouter (SR), a machine learning web-based software that finds perfect matches between companies and researchers. It allows for long free text searches, unlocking 18 million open access research articles, which are continuously updated. SR also facilitates contracts and payments, reducing the on-boarding time and cost by 92%.
The Feasibility Study for this project will take 5 months and focus on an in-depth market study, technical validation and the development of a final business plan to take us to market.
SR opens up the market for contractual research projects and technical consulting opportunities valued globally at €15.3 B, from which we are targeting a market of €205 M per year, i.e. 1,3%. With this model and the successful completion of the innovation project, we estimate an EBITDA of €22.3M, creating 60 jobs by 2024.
Status
CLOSEDCall topic
EIC-SMEInst-2018-2020Update Date
27-10-2022
Images
No images available.
Geographical location(s)
Structured mapping
Unfold all
/
Fold all
