Springer JDSA Special Issue : « Data Science in Human Migration and Mobility »
Submission deadline (AOE)*: 15th October 2021
First decision deadline (AOE)*: 15th December 2021
*Special issue description*
Research in human migration and mobility covers a wide area of disciplines and is typically performed using various data types such as census data, registries and surveys, collected by governmental institutions and national statistics offices. These data suffer from a set of limitations related to time and space resolution that makes analysis of a cross-border phenomenon such as migration and international mobility far from straight-forward. Social big data have been proposed to fill some of the gaps and complement traditional data types. Approaches have started to appear, and they promise to enable the construction of new migration-related indices that can provide better time and space resolution. Analysis is difficult here as well, as big data may suffer from selection bias and other issues. It remains to be seen how these data will actually fill the gaps in traditional data, and whether they will open new avenues for migration and mobility research.
This special issue aims to enable the sharing of experiences with novel data types and migration and mobility among an interdisciplinary set of researchers and audience. We want to bring together not only researchers from academia, but also from institutions working with migration, and industry. The overall objective is to understand better what are the plausible areas of study where big data can make a difference, and what are the methodologies employed to date.
- Carlos Arcila Calderón, Department of Sociology and Communication, University of Salamanca, Spain, email@example.com
- Tuba Bircan, Department of Sociology, Vrije Universiteit Brussel, Belgium, Tuba.Bircan@vub.be
- Emmanuel Letouzé, Data-Pop Alliance, New York, USA, firstname.lastname@example.org
- Alina Sîrbu, Department of Computer Science, University of Pisa, Italy, email@example.com
- Ingmar Weber, Qatar Computing Research Institute, Qatar, firstname.lastname@example.org
We welcome submissions of papers on topics related to migration research using novel data sources. These include but are not limited to :
- Understanding migration and mobility flows using big data sources. This may include nowcasting flows using social media or mobile phone data, visualisation and analysis of flows using big data, prediction of flows based on big data, analysis of flows within very specific domains, e.g. scientific migration, labour migration, seasonal migration.
- Estimating migration stocks using big data. This topic may include nowcasting immigration rates based on social media and other big data types, visualising such data, validating indices.
- Understanding push and pull factors in different types of migration and mobility, which can include analysis of the brain drain phenomenon, economic migration, data on refugees, sentiment analysis, seasonal mobility, etc.
- Studying the connection between policy changes and migration and mobility using big data analytics.
- Studying mobility and migration in emergency situations such as environmental events, pandemics (COVID-19), etc.
- Evaluating socio-economic and cultural integration of migrants with big data. This can include analysis of different integration measures extracted from various types of data.
- Evaluating the socio-economic effects of migration and mobility on the receiving society.
- Integrating big data models and traditional data sources for migration and mobility.
- Ethics of big data in the context of human migration and mobility.
All papers must be original and not simultaneously submitted to another journal or conference. The papers will be subject to blind peer-review and screened by the JDSA editorial. We expect a maximum of two rounds of revisions : submissions still requiring major revisions at the second round will not be accepted.
The papers must comply with the JDSA submission guidelines, as detailed here :
https://www.springer.com/journal/41060/submission-guidelines Submissions must be accompanied by a cover letter underlining the originality and significance of the contributions. During submission, please select “SI : Data Science in Human Migration and Mobility” when choosing the article type.