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Datalab for results in the public sector

Reference number
Coordinator Ekonomistyrningsverket
Funding from Vinnova SEK 3 782 343
Project duration June 2019 - December 2021
Status Completed
Venture Data-driven innovation
Call Data lab and data factory as a national resource

Purpose and goal

The purpose of the data lab is to create a national arena for data on financial management to further the development of a data-driven performance culture in the government administration and advance decision support at various levels. To fulfil the purpose, we developed a web-based lab with several applications to conduct queries, computer processing, analysis and visualization with the support of machine learning and other AI methods. The work was carried out together with need owners, AI researchers, IT consultants and remunerated students.

Expected results and effects

The Data lab has developed six independent applications for evaluation together with need owners. Throughout the work, various elements for data processing were investigated: standardized programs, search engines, machine learning algorithms and powerful language models combined with modules in coding libraries. The work has contributed to an increased understanding of how the data structure enables data-driven innovation. ESV has recently developed a digital policy and strengthened its resources through recruitment and collaboration.

Planned approach and implementation

The Data lab consists of parallel sub-projects coordinated by a department-wide team at ESV. The Data lab´s project partners have been involved in running one or more sub-projects. The work is characterized as iterative and exploratory. On several occasions, the Data lab has participated in both public seminars and workshops with external researchers and government representatives. Results have been shared through primarily open workshops regarding several of the applications and two public knowledge meetings.

External links

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

Last updated 10 December 2021

Reference number 2019-02252

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