[Commlist] HMB2020@SocInfo2020 - “Human Migration: potential areas for combinations of big data“

*HMB2020@SocInfo2020* - “Human Migration: potential areas for 
combinations of big data”

*Date*: 6th October 2020


*Location*: CNR, Pisa, Italy  & Online, together withSocInfo2020 
<https://kdd.isti.cnr.it/socinfo2020/>

*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


*Workshop description*


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”. 
<https://hummingbird-h2020.eu/>


*Chairs*

  *

    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)>


*Topics*


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,
    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.


*Paper submission*

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.


*Submission website*

The submission has to be performed on EasyChair 
https://easychair.org/conferences/?conf=hmb2020


*Publication*

Selected works will be invited for publication in a Special Issue of a 
highly ranked Scientific Journal to be announced before the workshop.



*Further details*

Workshop website:

https://sites.google.com/unipi.it/hummingbird-workshop2020/home

Call for papers:

https://easychair.org/cfp/HMB2020 <https://easychair.org/cfp/HMBD2020>


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