Summary information

Study title

Multi-aspect Integrated Migration Indicators

Creator

Goglia, Diletta (University of Pisa)
Pollacci, Laura (University of Pisa)
Sirbu, Alina (University of Pisa)

Study number / PID

doi:10.17903/FK2/AO12ZD (DOI)

Data access

Information not available

Series

Not available

Abstract

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.

Methodology

Data collection period

Not available

Country

Time dimension

Time series

Analysis unit

Individual

Universe

Not available

Sampling procedure

Not available

Kind of data

Not available

Data collection mode

Compilation/Synthesis

Funding information

Funder

European Commission (H2020)

Grant number

GA 870661

Funder

European Commission (H2020)

Grant number

GA 654024

Funder

European Commission (H2020)

Grant number

GA 871042

Access

Publisher

Κατάλογος Δεδομένων SoDaNet

Publication year

2024

Terms of data access

Not available

Related publications

Not available