University Impact Evaluation Tool

CASE STUDY

University Impact Evaluation Tool

Machine Learning and Semantic Search powered tool for gathering, processing, and visualising data on the impact of research institutions across economic sectors. It features automated data collection, interactive visualisations, and detailed analysis capabilities, enhancing decision-making and resource allocation.

ReactJS Python Django Heroku Google Analytics

CHALLENGES & SOLUTIONS

About the project

University Impact Evaluation Tool

Project Overview

Vilantis partnered with the Lithuanian Innovation Centre to develop the University Impact Evaluation Tool, a cutting-edge solution designed to gather, process, and visualize the impact of research and study institutions (MSI) on various economic sectors. This tool leverages advanced technologies such as machine learning and semantic search to provide real-time, actionable insights, facilitating better decision-making and resource allocation.

Client Background

The Lithuanian Innovation Centre is a prominent organization dedicated to fostering innovation and research within Lithuania. It aims to bridge the gap between academia and industry, promoting the practical application of scientific knowledge to drive economic growth and societal development.

Challenge

The Lithuanian Innovation Centre faced several challenges:

Data Management: The need to systematically gather and process vast amounts of data on the knowledge created by MSIs.
Impact Analysis: The requirement to evaluate the contributions of universities across different economic sectors efficiently.
Visualization: The necessity to present complex data in an intuitive and interactive format to facilitate analysis and decision-making

Solution

Vilantis developed the University Impact Evaluation Tool to address these challenges. Key features of the tool include:

Automated Data Gathering: The tool automatically collects relevant data from multiple sources, ensuring that the information is always current and comprehensive.
Machine Learning and Semantic Search: These technologies process the collected data, categorizing and analyzing it to identify patterns and correlations.
Interactive Visualization: The tool presents data in an interactive chart format, allowing users to quickly compare the contributions of various MSIs across different economic sectors.
Detailed Analysis: Users can conduct in-depth analyses with comprehensive data summaries, exploring various metrics and their relationships.

Results

The University Impact Evaluation Tool has delivered significant benefits:

Time Efficiency: Automated data gathering and processing save considerable time and effort.
Enhanced Decision-Making: The tool’s analytical capabilities provide valuable insights, aiding strategic planning and resource allocation.
Scalability: The tool can be easily scaled up and integrated with other systems or adapted for different metrics, making it a versatile solution for various applications.
User-Friendly Visualization: The innovative visualization method simplifies the interpretation of complex data, making it accessible to a broader audience.

OUTCOMES & RESULTS

Client feedback

Vilantis engaged with various organizations to collect relevant data for our tool, while at the same time they were working on the development of AI, tool software and design. The final result was the prototype to monitor knowledge transfer between science and business.

The most impressive thing about the company is its willingness to cooperate and communicate, although they are not obliged to do so. Even after the project ended, the VIlantis team stayed in touch with us and continued to improve our tool according to our requests. The company has also shared its experience and knowledge with other institutions that were interested in the project.

Povilas BacevičiusExpert at Innovation Analysis and Policy Dept.