Conference Program Home
  My Program

All Times EDT

Abstract Details

Activity Number: 284 - Assessment Tools in Statistics and Data Science Education
Type: Contributed
Date/Time: Tuesday, August 9, 2022 : 10:30 AM to 12:20 PM
Sponsor: Section on Statistics and Data Science Education
Abstract #323176
Title: Towards a Data Science Competency Framework for Teaching Future Employees of Official Statistics
Author(s): Monika Rozkrut* and Malgorzata Ludmi?a Tarczynska-Luniewska and Dominik Antoni Rozkrut
Companies: University of Szczecin and University of Szczecin and Statistics Poland
Keywords: official statistics; data science; big data; teaching; competence framework

The review of the existing curricula for official statistics leads to the identification of competency gaps between the current offer and new needs profiles, resulting from digital transformation, the emergence of new big data sources, the boost of data ecosystems, of new roles and competencies necessary in information environments, such as of data stewards, the establishment of data governance systems and growing regulatory role of the state. The modern scope of competencies goes well beyond the standard profile based on mastering the basics of statistical methods and awareness of the fundamental principles of official statistics, which constitute professional and ethical signpost. It also includes knowledge of data science techniques combined with a deep awareness of the opportunities and limitations resulting from the inevitable conflict of an outbreak of options with the need for a nuanced analysis of ethical boundaries related to protecting statistical confidentiality and privacy. The article aims to bridge the gap between the existing programs and the identified challenges by outlining the competency framework for students intending to work in official statistics.

Authors who are presenting talks have a * after their name.

Back to the full JSM 2022 program