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        <AuthEnty affiliation="University of Pisa" xml:lang="en">Goglia, Diletta
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      <abstract xml:lang="en">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 &lt;a href="https://dataforgood.facebook.com/dfg/docs/methodology-social-connectedness-index" target="_blank"&gt;Facebook Social Connectedness Index (SCI)&lt;/a&gt;. 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.</abstract>
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