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<p class="MsoNormal"><span style="font-size:11.0pt">Dear all,<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt"><o:p> </o:p></span></p>
<p class="MsoNormal"><i><span style="font-size:11.0pt">Apologies for cross-posting.
<o:p></o:p></span></i></p>
<p class="MsoNormal"><span style="font-size:11.0pt"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt">Please see the fully funded PhD opportunity in deep learning approaches in human geography below.
<b><u>Applications close tomorrow Friday March 11th</u></b>.<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt">Apply here: <a href="https://le.ac.uk/study/research-degrees/funded-opportunities/future-100-phd-cse">
https://le.ac.uk/study/research-degrees/funded-opportunities/future-100-phd-cse</a><o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt"><o:p> </o:p></span></p>
<p class="MsoNormal"><b><span style="font-size:11.0pt">About the Project<o:p></o:p></span></b></p>
<p class="MsoNormal"><b><span style="font-size:11.0pt"><o:p> </o:p></span></b></p>
<p class="MsoNormal"><b><span style="font-size:11.0pt">Project Highlights:<o:p></o:p></span></b></p>
<ol style="margin-top:0cm" start="1" type="1">
<li class="MsoNormal" style="mso-list:l2 level1 lfo1"><span style="font-size:11.0pt">To develop a ground-breaking, interdisciplinary approach to exploring the emotional relationship between people and place<o:p></o:p></span></li><li class="MsoNormal" style="mso-list:l2 level1 lfo1"><span style="font-size:11.0pt">To harness the capabilities of recent advances in deep learning to conduct multimodal textual and visual analysis including street-view imagery<o:p></o:p></span></li><li class="MsoNormal" style="mso-list:l2 level1 lfo1"><span style="font-size:11.0pt">To develop a predictive model capable of estimating how places are experienced.<o:p></o:p></span></li></ol>
<p class="MsoNormal"><b><span style="font-size:11.0pt"><o:p> </o:p></span></b></p>
<p class="MsoNormal"><b><span style="font-size:11.0pt">Project Overview<o:p></o:p></span></b></p>
<p class="MsoNormal"><span style="font-size:11.0pt"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt">The project aims to better understand people's emotional connections with places by implementing and testing geospatial, multimodal text and image processing models, expanding previous work developed for social
media analysis to analyse virtual walking interview data we generated through the Mapping Multiculture project. <o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt">In a previous work (Liu and De Sabbata, 2021), we demonstrated how multimodal autoncoders and graph-convolutional neural networks can effectively spatially analyse text and images from social media. We illustrated
how to generate models that combine qualitative content analysis with large-scale quantitative analysis to predict specialised and project-specific topics in social media content. In the Mapping Multiculture project (Bennett et al., <i>forthcoming</i>), we
have illustrated the effectiveness of street-view imagery in an immersive virtual reality environment as a stimulus in the qualitative interview process and generated a rich dataset of personal experiences of Leicester. That opened up opportunities to explore
the emotional connections between people and place, identifying distinct emotional 'atmospheres' associated with different parts of the city. The key idea behind the project here proposed is to apply approaches developed in the first project to the data and
context of the second project.<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt">Successful completion of this project will lead to significant advances in geospatial artificial intelligence, thus generating a better understanding of where tensions (and easiness) are experienced, especially
in places with particularly dynamic, diverse populations such as Leicester. Exploring people's emotional reactions to places is crucial to further our understanding of their experiences of heritage and culture in a digital age (<b>WP1</b>). However, we need
geospatial, multimodal text and image processing tools to effectively link interview transcripts and street-view photography from interviews, along with relevant big data, to identify people's emotional reactions to places (<b>WP2</b>). Finally, we need to
explore the generalisability and predictive capabilities of the developed models to critically assess the practical and ethical implications of their use (<b>WP3</b>).<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt">The results from these studies will help us further our understanding of the relationship between place and emotion and the role that geospatial artificial intelligence can take in conducting digital geographical
research on these topics at scale.<o:p></o:p></span></p>
<p class="MsoNormal"><b><span style="font-size:11.0pt"><o:p> </o:p></span></b></p>
<p class="MsoNormal"><b><span style="font-size:11.0pt">Methodology <o:p></o:p></span></b></p>
<p class="MsoNormal"><span style="font-size:11.0pt"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt">We will conduct three Work Packages (WP) in parallel, which will feedback one another.<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt"><o:p> </o:p></span></p>
<ul style="margin-top:0cm" type="disc">
<li class="MsoListParagraph" style="margin-left:0cm;mso-list:l0 level1 lfo4"><b><span style="font-size:11.0pt">WP1: Content Analysis.</span></b><span style="font-size:11.0pt"> Qualitatively analyse data generated during the Mapping Multiculture project through
virtual walking interviews using Google Earth VR to assess emotional connection with places. Collect street-view imagery. Identify gaps, data imbalances and opportunities for further interviews to support <b>WP2</b> and <b>WP3</b>.<o:p></o:p></span></li><li class="MsoListParagraph" style="margin-left:0cm;mso-list:l0 level1 lfo4"><b><span style="font-size:11.0pt">WP2: Modelling.</span></b><span style="font-size:11.0pt"> Explore supervised and semi-supervised machine learning approaches such as multimodal autoncoders
and graph-convolutional neural networks to develop geospatial, multimodal text and image processing tools that effectively link interview transcripts and street-view photography from interviews (<b>WP1</b>) to identify people's emotional reaction to places.<o:p></o:p></span></li><li class="MsoListParagraph" style="margin-left:0cm;mso-list:l0 level1 lfo4"><b><span style="font-size:11.0pt">WP3: Evaluation and critical assessment.</span></b><span style="font-size:11.0pt"> Apply the developed models (<b>WP2</b>) in new scenarios to test
their generalisability and predictive capabilities. Explore the use of big data from user-generated content platforms (e.g., social media, Wikipedia) as supplementary data for generalisation. Critically assess the practical and ethical implications of their
use.<o:p></o:p></span></li></ul>
<p class="MsoNormal"><span style="font-size:11.0pt"><o:p> </o:p></span></p>
<p class="MsoNormal"><b><span style="font-size:11.0pt">Entry Requirements:<o:p></o:p></span></b></p>
<p class="MsoNormal"><b><span style="font-size:11.0pt"><o:p> </o:p></span></b></p>
<p class="MsoNormal"><span style="font-size:11.0pt">Applicants are required to hold/or expect to obtain a UK Bachelor Degree 2:1 or better in a relevant subject or overseas equivalent. The University of Leicester <a href="https://www.findaphd.com/common/clickCount.aspx?theid=141763&type=184&DID=4567&url=https%3a%2f%2fle.ac.uk%2fstudy%2fresearch-degrees%2fentry-reqs%2feng-lang-reqs" target="_blank"><b>English
language</b></a> requirements may apply<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt"><o:p> </o:p></span></p>
<p class="MsoNormal"><b><span style="font-size:11.0pt">How To Apply <o:p></o:p></span></b></p>
<p class="MsoNormal"><b><span style="font-size:11.0pt"><o:p> </o:p></span></b></p>
<p class="MsoNormal"><b><span style="font-size:11.0pt">Please refer to our How to Apply information at</span></b><span style="font-size:11.0pt"><o:p></o:p></span></p>
<p class="MsoNormal"><b><span style="font-size:11.0pt"><a href="https://www.findaphd.com/common/clickCount.aspx?theid=141763&type=184&DID=4567&url=https%3a%2f%2fle.ac.uk%2fstudy%2fresearch-degrees%2ffunded-opportunities%2ffuture-100-phd-cse" target="_blank">https://le.ac.uk/study/research-degrees/funded-opportunities/future-100-phd-cse</a></span></b><span style="font-size:11.0pt"><o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt">With your application, please include:<o:p></o:p></span></p>
<ul style="margin-top:0cm" type="disc">
<li class="MsoNormal" style="mso-list:l3 level1 lfo2"><span style="font-size:11.0pt">CV<o:p></o:p></span></li><li class="MsoNormal" style="mso-list:l3 level1 lfo2"><span style="font-size:11.0pt">Personal statement explaining, briefly, your interest in the project and your experience ( If you apply for two projects include a statement for each project on the same document)<o:p></o:p></span></li><li class="MsoNormal" style="mso-list:l3 level1 lfo2"><span style="font-size:11.0pt">Degree Certificates and Transcripts of study already completed and if possible transcript to date of study currently being undertaken<o:p></o:p></span></li><li class="MsoNormal" style="mso-list:l3 level1 lfo2"><span style="font-size:11.0pt">Evidence of English language proficiency, if applicable<o:p></o:p></span></li><li class="MsoNormal" style="mso-list:l3 level1 lfo2"><span style="font-size:11.0pt">In the reference section please enter the contact details of your two academic referees in the boxes provided or upload letters of reference if already available.<o:p></o:p></span></li></ul>
<p class="MsoNormal"><b><span style="font-size:11.0pt">You can apply for a maximum of 2 projects. </span></b><span style="font-size:11.0pt"><o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt">For each project you want to be considered for:<o:p></o:p></span></p>
<ul style="margin-top:0cm" type="disc">
<li class="MsoNormal" style="mso-list:l1 level1 lfo3"><b><span style="font-size:11.0pt">In the Supervisor Section:</span></b><span style="font-size:11.0pt"> Enter the <b>Project Reference</b> for each project you want to be considered for (the Project Reference
is on the project listing above and on the project description document)<o:p></o:p></span></li><li class="MsoNormal" style="mso-list:l1 level1 lfo3"><b><span style="font-size:11.0pt">In the Project Title Section:</span></b><span style="font-size:11.0pt"> Enter the <b>Project Title</b> for each project in order of priority (e.g. Project 1, Project 2)<o:p></o:p></span></li></ul>
<p class="MsoNormal"><b><span style="font-size:11.0pt">In the Funding Section:</span></b><span style="font-size:11.0pt"> Enter <b>Future 100 Scholarship</b> or select Future 100 Scholarship from the drop down menu.<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt"><o:p> </o:p></span></p>
<p class="MsoNormal"><b><span style="font-size:11.0pt">Funding Notes<o:p></o:p></span></b></p>
<p class="MsoNormal"><span style="font-size:11.0pt">Future 100 Scholarships provide funding for 3.5 years to include:<br>
• Tuition fees at UK rate<br>
• Stipend at UKRI rates (currently £15,609. 2022 rates to be confirmed)<br>
• Access to a Research Training Support Grant of up to £1,500 pa for 3 years.<br>
• Bench fees of £5,000 per annum for three years for laboratory-based studies<br>
International students will need to be able to fund the difference between UK and International fees for the duration of study.<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt"><o:p> </o:p></span></p>
<p class="MsoNormal"><b><span lang="IT" style="font-size:11.0pt">References<o:p></o:p></span></b></p>
<p class="MsoNormal"><span lang="IT" style="font-size:11.0pt">Ballatore, A., & De Sabbata, S. (2020).
</span><span style="font-size:11.0pt">Los Angeles as a digital place: The geographies of user‐generated content. Transactions in GIS, 24(4), 880-902.<br>
Bennett K, Gardner Z and De Sabbata (forthcoming) Digital geographies of everyday multiculturalism: ‘Let’s go Nando’s!’ Social and Cultural Geography<br>
De Sabbata, S., & Liu, P. (2019). Deep learning geodemographics with autoencoders and geographic convolution. In Proceedings of the 22nd AGILE conference on Geographic Information Science, Limassol, Greece.<br>
Liu, P., & De Sabbata, S. (2021). A graph-based semi-supervised approach to classification learning in digital geographies. Computers, Environment and Urban Systems, 86, 101583.<br>
Neal S, Bennett K, Cochrane A and Mohan G (2018) The Lived Experiences of Multiculture: the new spatial and social relations of diversity, Routledge.<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt">All the best,<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt">Stef.<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt"><o:p> </o:p></span></p>
<p class="MsoNormal"><i><span style="font-size:10.5pt;color:black;mso-fareast-language:EN-GB">“It’s </span></i><i><span style="font-size:11.0pt;color:black;mso-fareast-language:EN-GB">all going to be alright in the end, and if it's not alright, it's not the
end</span></i><span style="font-size:11.0pt;color:black;mso-fareast-language:EN-GB">”</span><span style="color:black;mso-fareast-language:EN-GB"><o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;color:black;mso-fareast-language:EN-GB">(by Ol Parker, via Wittertainment)</span><span style="color:black;mso-fareast-language:EN-GB"><o:p></o:p></span></p>
<p class="MsoNormal"><b><span style="font-size:10.5pt;color:black;mso-fareast-language:EN-GB"> </span></b><span style="color:black;mso-fareast-language:EN-GB"><o:p></o:p></span></p>
<p class="MsoNormal"><b><span style="font-size:10.5pt;color:black;mso-fareast-language:EN-GB">Dr Stefano De Sabbata (they/them)</span></b><span style="font-size:10.5pt;color:black;mso-fareast-language:EN-GB"><o:p></o:p></span></p>
<p class="MsoNormal"><b><span style="font-size:10.5pt;color:black;mso-fareast-language:EN-GB">Lecturer in Quantitative Geography</span></b><span style="font-size:10.5pt;color:black;mso-fareast-language:EN-GB"><o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.5pt;color:black;mso-fareast-language:EN-GB">School of Geography, Geology and the Environment,<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.5pt;color:black;mso-fareast-language:EN-GB">University of Leicester, University Road, Leicester, LE1 7RH, UK<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.5pt;color:black;mso-fareast-language:EN-GB">Research Associate at the Oxford Internet Institute, University of Oxford</span><b><span style="font-size:10.5pt;color:#730F00;mso-fareast-language:EN-GB"><o:p></o:p></span></b></p>
<p class="MsoNormal"><b><span style="font-size:10.5pt;color:#730F00;mso-fareast-language:EN-GB">t: </span></b><span style="font-size:10.5pt;color:black;mso-fareast-language:EN-GB">+44 (0)116 252 3812<o:p></o:p></span></p>
<p class="MsoNormal"><b><span style="font-size:10.5pt;color:#730F00;mso-fareast-language:EN-GB">e:</span></b><span style="font-size:10.5pt;color:black;mso-fareast-language:EN-GB"> <a href="mailto:s.desabbata@le.ac.uk" title="mailto:s.desabbata@le.ac.uk"><span style="color:#000051">s.desabbata@le.ac.uk</span></a><o:p></o:p></span></p>
<p class="MsoNormal"><b><span style="font-size:10.5pt;color:#730F00;mso-fareast-language:EN-GB">w: </span></b><u><span style="font-size:10.5pt;color:#00004D;mso-fareast-language:EN-GB"><a href="https://sdesabbata.github.io/" target="_blank" title="https://www.oii.ox.ac.uk/people/stefano-de-sabbata/"><span style="color:#000051">sdesabbata.github.io</span></a></span></u><b><span style="font-size:10.5pt;color:#730F00;mso-fareast-language:EN-GB"><o:p></o:p></span></b></p>
<p class="MsoNormal"><b><span style="font-size:10.5pt;color:#730F00;mso-fareast-language:EN-GB">w: </span></b><span style="font-size:10.5pt;color:black;mso-fareast-language:EN-GB"><a href="http://www2.le.ac.uk/departments/geography/people/stefano-de-sabbata" title="http://www2.le.ac.uk/departments/geography/people/stefano-de-sabbata"><span style="color:#000051;background:white">le.ac.uk/departments/geography/people/stefano-de-sabbata</span></a><o:p></o:p></span></p>
<p class="MsoNormal"><b><span style="font-size:10.5pt;color:#730F00;mso-fareast-language:EN-GB">w: </span></b><u><span style="font-size:10.5pt;color:#00004D;mso-fareast-language:EN-GB"><a href="https://www.oii.ox.ac.uk/people/stefano-de-sabbata/" target="_blank" title="https://www.oii.ox.ac.uk/people/stefano-de-sabbata/"><span style="color:#000051">oii.ox.ac.uk/people/stefano-de-sabbata</span></a></span></u><b><span style="font-size:10.5pt;color:#730F00;mso-fareast-language:EN-GB"><o:p></o:p></span></b></p>
<p class="MsoNormal"><b><span style="font-size:10.5pt;color:#730F00;mso-fareast-language:EN-GB">twitter: </span></b><span style="font-size:10.5pt;color:black;mso-fareast-language:EN-GB"><a href="https://twitter.com/maps4thought" target="_blank"><span style="color:#000051">@maps4thought</span></a>
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