Emerging technologies and advanced methods are pivotal in this modernization effort, as they offer innovative solutions to improve the accuracy, efficiency, and relevance of official statistics. By leveraging cutting-edge technologies such as machine learning, artificial intelligence, and big data, statistical organizations can enhance data collection, processing, and analysis, ensuring that statistical outputs meet the evolving needs of stakeholders.
The Applying Data Science and Modern Methods Group, established in 2022, focuses on the development, implementation, promotion, support, and facilitation of data science and modern methods initiatives essential for the modernization of statistical business processes.
Under the guidance of the HLG-MOS, the group annually considers and proposes ways to advance these initiatives, driven largely by the interests within the HLG-MOS community.
The group is chaired by New Zealand. More information on its recent outputs can be found as below.