Multi-aspect Integrated Migration Indicators

The Multi-aspect Integrated Migration Indicators (MIMI) dataset is the result of the process of gathering, embedding and combining traditional migration datasets, mostly from sources like Eurostat and United Nations, and alternative types of data, which consists in multidisciplinary features and measures not typically employed in migration studies, such as the Facebook Social Connectedness Index (SCI). Its purpose is to exploit these novel types of data for: nowcasting migration flows and stocks, studying integration of multiple sources and knowledge, and investigating migration drivers. The MIMI dataset is designed to have a unique pair of countries for each row. Each record contains country-to-country information about: migrations flows and stock their share, their strength of Facebook connectedness and other features, such as corresponding populations, GDP, coordinates, NET migration, and many others.

多维度综合移民指标（Multi-aspect Integrated Migration Indicators, MIMI）数据集，是对传统移民数据集与替代类型数据进行收集、嵌入与整合的成果。其中传统移民数据集主要源自欧盟统计局（Eurostat）与联合国，替代类型数据则包含移民研究中通常未被采用的多学科特征与衡量指标，例如脸书社交联系指数（Facebook Social Connectedness Index, SCI）。本数据集旨在依托这类新型数据开展三项工作：一是即时预测移民流量与存量，二是研究多源数据与知识的融合应用，三是探究移民驱动因素。MIMI数据集的每一行均对应唯一的国家对，每条记录包含两国间的以下信息：移民流量、存量及其占比、脸书社交联系强度，以及对应人口、国内生产总值（GDP）、地理坐标、净移民等诸多相关特征。