[Hallgato] Fw: [geovis] Fw: Fully Funded PhD Position

Gede Mátyás saman at map.elte.hu
2019. Jan. 9., Sze, 13:20:57 CET

---------- Forwarded Message -----------
From: Urska Demsar <urska.demsar at st-andrews.ac.uk>
To: "geovis at iais.fraunhofer.de" <geovis at iais.fraunhofer.de>
Sent: Tue, 8 Jan 2019 13:39:41 +0000
Subject: [geovis] Fw: Fully Funded PhD Position

A PhD position in Leicester (UK/EU applicants).


Urska Demsar

From: Stefano (Dr.) <s.desabbata at LEICESTER.AC.UK>
Sent: 08 January 2019 11:47
Subject: Fully Funded PhD Position

Dear all,

the University of Leicester is offering a fully funded PhD position to work
with me, Dr Nick Tate and Dr Andrea Ballatore (Birkbeck, University of London)
on charting the diverse geographies of User-Generated Content. Please see
further information below and let me know if you have any questions or queries.

Please feel free to forward this email to any potentially interested students.

Application deadline: Monday, January 21, 2019



Data Census: Charting the diverse geographies of User-Generated Content

The past ten years have seen a momentous change in the way data is produced
and used, driven by “web 2.0” and social media platforms (such as Wikipedia,
Twitter and Instagram), and intertwined with the wide-spread adoption of
smartphones and the open data movement. These phenomena have led to a deluge
of digital data, including geospatial data, and the subsequent boom in big
data analytics, data science, and machine learning (Kitchin, 2013). The use of
these information sources is now commonplace, considered enabling of knowledge
production (Smith, 2018) and a vital component of the recent advances in
artificial intelligence.

However, the relationships between the geographies of user-generated content –
commonly referred to as volunteered geographic information (VGI) in geographic
information science – and the underlying socio-demographics at global (Graham
et al., 2015), national (Bright et al., 2015) and urban (Ballatore and De
Sabbata, 2018; Shelton et al., 2015) scales is complex and still largely
unexplored. These studies indicate that user-generated content is highly
concentrated in few locations, typically in urban areas with high
socio-economic profiles, but only about half of the variation is accounted for
by variation in socio-demographic variables, leaving the rest unexplained.
Salient questions need to be asked about what part of our cities and regions
are represented and how, and what impact these uneven geographies have on the
algorithms and social science research that rely on those data.

The project aims to move forward from isolated analyses of single platforms to
a contextualised, integrated understanding of the complex representations
created on multiple platforms, and how user-generated content varies through
time and space.

The project will:

ˇ         identify specific ontological dimensions of user-generated content
(Kitchin and McArdle, 2016), including its geographic representativeness and

ˇ         conduct a cross-platform analysis of user-generated content and its
relationship to socio-demographic data, including multiple platforms;

ˇ         establish the core of a novel data census, i.e. an open spatial
dataset that charts the representativeness and salience of user-generated
content, which will become a point of reference for analysts and developers on
the advantages, biases and limitations of popular sources of big data.

Dr Stefano De Sabbata

Lecturer in Quantitative Geography

School of Geography, Geology and the Environment,

University of Leicester, University Road, Leicester, LE1 7RH, UK

t: +44 (0)116 252 3812

e: s.desabbata at le.ac.uk<mailto:s.desabbata at le.ac.uk>


twitter: @maps4thought<https://twitter.com/maps4thought>

Research Associate

Oxford Internet Institute, University of Oxford


Information Geographies<http://geography.oii.ox.ac.uk/>

Connectivity, Inclusion, and Inequality<http://cii.oii.ox.ac.uk/>

[cid:77B79125-D80D-4E72-9F70-791C2419DE28 at home]

Follow us on Twitter<https://twitter.com/uniofleicester> or visit our
Facebook<https://www.facebook.com/UniofLeicester/> page

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GEDE Mátyás
ELTE Térképtudományi és Geoinformatikai Tanszék, Budapest

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