Template for Python training material
The main mission of Work Package 8 (WP8) is to explore the potential of machine learning (ML) for data editing and imputation processes, with a special focus on data editing.
By applying ML technologies to practical examples, WP8 aims to strike a balance between innovation and maintaining the high-quality standards required in official statistics. The expected outputs of this WP will include methodological investigations and practical implementations. At best, this will lead to the development of a comprehensive methodological and implementation framework for data editing.
Objectives of WP8
Discovering the opportunities of the use of AI/ML in terms of automation, efficiency, and quality improvement of the editing and imputation process (with a focus on editing).
Exploring these opportunities in practical examples with a focus on editing, without forgetting the quality standards of official statistics.
Investigating the effects on the corresponding workloads for editing in the statistical offices.