ScoutinScience Selected as Best Practice by European Commission for Second Year in a Row!
We are thrilled to announce that ScoutinScience has been selected as a Best Practice by the European Commission for the second consecutive year! This recognition is a testament to our commitment to enhancing the valorisation of scientific knowledge through innovation.
Join Us for an Exclusive Workshop
We invite you to join our upcoming workshop, part of the European Commission's "AI and other digital techs: a revolution in knowledge valorisation?" series. This event will explore how artificial intelligence (AI) and other digital technologies are revolutionizing the way we valorise scientific knowledge. Our CEO, Gilles Meijer, will be presenting insights on our solution: the Science Monitor.
Event Details: Date: Thursday, 27 June 2024 Time: 13:00 - 13:40 (CEST) Live Streaming: Online - Available here
About Science Monitor
At ScoutinScience, our vision is to increase the scientific impact by leveraging big data and AI. The Science Monitor solution harnesses diverse data sources and cutting-edge APIs to forecast scientific impacts, visualize growth areas, and provide actionable insights for policymakers and stakeholders. By integrating data from research publications, patents, and spin-offs, we aim to enhance tech transfer across Europe efficiently.
Key Features of Science Monitor:
- Data Access: We utilize public data sources such as OpenAlex, national and EU subsidy databases, European patent databases, and spin-off databases. This comprehensive approach ensures we cover all relevant data points.
- Data Cleaning and Preparation: Our processes include removing duplicates, handling missing values, and using Natural Language Processing (NLP) to standardize domain and Technology Readiness Level (TRL) predictions across all stages of the funnel.
- Data Integration: We merge data from various sources into a single, coherent database using common identifiers, creating a unified dataset that provides a holistic view of the scientific landscape.
- Data Analysis: Our AI tools predict the tech transfer potential of scientific publications, providing early-stage insights that can guide strategic decisions.
- Data Visualization: We present the data through intuitive dashboards and reports, making complex insights easily accessible to policymakers and other stakeholders.
Join the Conversation
Don't miss this opportunity to learn about the latest trends and developments in AI and digital technologies for knowledge valorisation. Register to receive reminders and updates about this and future talks, and be part of the discussion on the responsible and sustainable application of these tools in science.
