论文标题
官方统计的计算社会科学的挑战和机会
Challenges and Opportunities of Computational Social Science for Official Statistics
论文作者
论文摘要
每天生产的大量数据（所谓的“数字痕迹”），如今可用的是社会科学的金矿，尤其是在计算环境中，可以充分提取其信息和知识价值。在最近几年中，统计局已经努力利用这些新数据来源提供的潜力，并有希望的结果。但是这个集成过程有多困难？统计局可能会从新的数据源和分析方法中盈利面临哪些挑战？本章将从设置当前官方统计系统的场景开始，重点是其与非传统数据有关的基本原理和维度。然后，它将在官方统计数据的数据创新中介绍一些实验和概念证明，然后讨论与可持续数据访问，新的技术和方法论方法以及有效使用新数据源有关的潜在挑战。
The vast amount of data produced everyday (so-called 'digital traces') and available nowadays represent a gold mine for the social sciences, especially in a computational context, that allows to fully extract their informational and knowledge value. In the latest years, statistical offices have made efforts to profit from harnessing the potential offered by these new sources of data, with promising results. But how difficult is this integration process? What are the challenges that statistical offices would likely face to profit from new data sources and analytical methods? This chapter will start by setting the scene of the current official statistics system, with a focus on its fundamental principles and dimensions relevant to the use of non-traditional data. It will then present some experiments and proofs of concept in the context of data innovation for official statistics, followed by a discussion on prospective challenges related to sustainable data access, new technical and methodological approaches and effective use of new sources of data.
