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[Commlist] HMB2020@SocInfo2020 - “Human Migration: potential areas for combinations of big data“
Wed Jul 15 13:54:47 GMT 2020
*HMB2020@SocInfo2020* - “Human Migration: potential areas for
combinations of big data”
*Date*: 6th October 2020
*Location*: CNR, Pisa, Italy & Online, together withSocInfo2020
*Now accepting full-paper and extended-abstract submissions*
*New submission deadlines (AOE)*:
Abstract registration: 31 July 2020
Full-paper /extended-abstract submission: 7 August 2020
Notification of acceptance: 1 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 (Tuba.Bircan /at/ vub.be) <mailto:(Tuba.Bircan /at/ vub.be)>
Carlos Arcila Calderón, Department of Sociology and Communication,
University of Salamanca, Spain (carcila /at/ usal.es) <mailto:(carcila /at/ usal.es)>
Jisu Kim, Scuola Normale Superiore, Pisa, Italy (jisu.kim /at/ sns.it)
<mailto:(jisu.kim /at/ sns.it)>
Alina Sîrbu, Department of Computer Science, University of Pisa,
Italy (alina.sirbu /at/ unipi.it) <mailto:(alina.sirbu /at/ unipi.it)>
We welcome submissions of papersor extended abstractson 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,
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.
*Extended abstract submission*
We also welcome extended abstract submission of existing or ongoing work
of high relevance to the workshop. The submission should be a maximum of
2 pages long in the Springer LNCS format, not included references.
The submission has to be performed on EasyChair
Selected works will be invited for publication in a Special Issue of a
highly ranked Scientific Journal to be announced before the workshop.
Call for papers:
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