Your browser doesn't support javascript. This means that the content or functionality of our website will be limited or unavailable. If you need more information about Vinnova, please contact us.

EnvironmentAI. Efficient, clear and traceable information flows in Swedish environmental authorities through AI.

Reference number
Coordinator Naturvårdsverket
Funding from Vinnova SEK 500 000
Project duration December 2020 - June 2021
Status Completed
Venture AI - Competence, ability and application
Call Start your AI-journey for public organizations - autumn 2020

Important results from the project

Aim: demonstrate how AI technology can improve analytics capability and create historical overview of government assignment Objective: 1) demonstrator of tool that creates transparency and traceability regarding results in government assignment. 2) data maturity analysis 3) impact assessment 4) insights for further development of the organization´s AI strategy. Fulfillment: 1) identified, described needs. Matched with language technology application 3) empirical experiment 2) data maturity analysis 3) impact assessment 4) insights for AI strategy. 5) recommendations

Expected long term effects

Fulfillment: 1) identified, described needs. Matched with language technology application 3) empirical experiment 2) data maturity analysis 3) impact assessment 4) insights for AI strategy. 5) recommendations

Approach and implementation

The project has been run for 6 months internally and has engaged three researchers from RISE. The work has been conducted in close dialogue between the programme manager and project participants and has involved 1) identification and description of the need for improved historical overview of the proposals formulated by the Swedish EPA in various government assignments. 2) Matching needs with an application of language technology that can be used to analyze large amounts of text. A data maturity analysis and an empirical experiment on government assignment texts have been carried out.

The project description has been provided by the project members themselves and the text has not been looked at by our editors.

Last updated 20 August 2021

Reference number 2020-04045