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*HMB2020@SocInfo2020* - “Human Migration: potential areas for combinations of big data”
*Date*: 6 October 2020
*Location*: CNR, Pisa, Italy & Online, together with SocInfo2020
*Submission deadlines (AOE)*:
Abstract submission: 20 July 2020
Full paper submission: 27 July 2020
Notification of acceptance: 31 August 2020
Camera ready version: 15 September 2020
Migration research 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 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 research.
HMB2020 aims to enable the sharing of experiences with big data and migration 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. HMB2020 is part of the European project “HumMingBird: Enhanced migration measures from a multidimensional perspective”.
· Tuba Bircan, Department of Sociology, Vrije Universiteit Brussel, Belgium [log in to unmask]
· Carlos Arcila Calderón, Department of Sociology and Communication, University of Salamanca, Spain [log in to unmask]
· Jisu Kim, Scuola Normale Superiore, Pisa, Italy [log in to unmask]
· Alina Sîrbu, Department of Computer Science, University of Pisa, Italy [log in to unmask]
We welcome submissions of papers on topics related to migration research using big data. These include but are not limited to:
· Understanding migration 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, which can include analysis of the brain drain phenomenon, economic migration, data on refugees, sentiment analysis, etc.
· Studying the connection between policy changes and migration using big data analytics.
· 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.
· Integrating big data models and traditional data sources for migration.
· Ethics of big data in the context of human migration.
All papers must be original and not simultaneously submitted to another journal or conference. The papers will be selected through blind review. Submitted papers should be maximum 15 pages long in the Springer LNCS format, not including references. The submission has to be performed on EasyChair:
Selected papers will be invited for publication in a Special Issue of a highly ranked Scientific Journal to be announced before the workshop.
Call for papers:
Forwarded on behalf of the organizing committee
Samin Aref, Ph.D.
Research Area Chair in Migration and Mobility | Lab of Digital and Computational Demography | Max Planck Institute for Demographic Research
Room 318, Konrad-Zuse-Str. 1, 18057 Rostock | +49 (0)381 2081 297 | http://saref.github.io