Proposal Description

The effects of technologies have provided new avenues of data for national statistical organizations (NSOs) across the world, which can then be harnessed through the power of data science. However, as data continues to grow in size and complexity; national statistical offices (NSOs) should benefit from these opportunities to improve data for decision-making. In the avalanche of new data ecosystems, NSOs may need a data steward, and the NSO could take on that role while paying close attention to the fundamental principle of official statistics. The limitation of conventional statistics in managing and analyzing big data has inspired data analysts to venture into data science. Data Science is a combination of multiple disciplines that use statistics, data analysis, and machine learning to analyze data and extract knowledge and insights from it. It can also be described as extracting meaningful patterns from data using machine learning (ML), artificial intelligence (AI), and visualization methods. These swathes of new digital data are valuable for official statistics. This invited paper session shall examine the emergency of data science and the new data eco-system; what could be the expanding role of official statistics in the era of data science; and present ways NSOs can integrate Data Science methodologies into official statistics without compromising the Fundamental Principle of Official Statistics. Also, providing direction on how the Data Science center could be created within various National Statistical offices toward a new culture.