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ScienceRouter

ScienceRouter: AI-powered knowledge matchmaking to boost the innovation landscape

Total Cost €

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EC-Contrib. €

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Partnership

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 Outcomes and results

 ScienceRouter project word cloud

Explore the words cloud of the ScienceRouter project. It provides you a very rough idea of what is the project "ScienceRouter" about.

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Project "ScienceRouter" data sheet

The following table provides information about the project.

Coordinator		 MACHINE INTELLIGENCE SWEDEN AB 

Organization address
address: POBOX 5243
city: GOTEBORG
postcode: 402 24
website: n.a.

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.
 Coordinator Country Sweden [SE]
 Project website http://sciencerouter.com
 Total cost 71˙429 €
 EC max contribution 50˙000 € (70%)
 Programme 1. H2020-EU.3. (PRIORITY 'Societal challenges)
2. H2020-EU.2.3. (INDUSTRIAL LEADERSHIP - Innovation In SMEs)
3. H2020-EU.2.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies)
 Code Call H2020-SMEInst-2018-2020-1
 Funding Scheme SME-1
 Starting year 2018
 Duration (year-month-day) from 2018-09-01   to  2019-01-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    MACHINE INTELLIGENCE SWEDEN AB SE (GOTEBORG) coordinator 50˙000.00

Map

 Project objective

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.

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "SCIENCEROUTER" project.

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Send me an  email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

The information about "SCIENCEROUTER" are provided by the European Opendata Portal: CORDIS opendata.

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