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<p class="MsoNormal"><span style="color:black">Dear all,<o:p></o:p></span></p>
<p class="MsoNormal" style="caret-color: rgb(0, 0, 0);font-variant-caps: normal;orphans: auto;text-align:start;widows: auto;-webkit-text-size-adjust: auto;-webkit-text-stroke-width: 0px;word-spacing:0px">
<span style="color:black"> <o:p></o:p></span></p>
<p class="MsoNormal" style="caret-color: rgb(0, 0, 0);font-variant-caps: normal;orphans: auto;text-align:start;widows: auto;-webkit-text-size-adjust: auto;-webkit-text-stroke-width: 0px;word-spacing:0px">
<i><span style="color:black">(apologies for cross-posting)</span></i><span style="color:black"><o:p></o:p></span></p>
<p class="MsoNormal" style="caret-color: rgb(0, 0, 0);font-variant-caps: normal;orphans: auto;text-align:start;widows: auto;-webkit-text-size-adjust: auto;-webkit-text-stroke-width: 0px;word-spacing:0px">
<span style="color:black"> <o:p></o:p></span></p>
<p class="MsoNormal" style="font-variant-caps: normal;orphans: auto;text-align:start;widows: auto;-webkit-text-size-adjust: auto;-webkit-text-stroke-width: 0px;caret-color: rgb(255, 255, 255);word-spacing:0px">
<span style="color:black">The call for<span class="apple-converted-space"> </span><b><u>abstracts</u></b><span class="apple-converted-space"> </span>for the new Special Issue of the International Journal of Geographical Information Science on Deep Learning
Approaches in Geographical Information Science and Human Geography is still<span class="apple-converted-space"> </span><b><u>open until March 1<sup>st</sup></u></b>. The authors of selected abstracts will then have until August 15<sup>th</sup><span class="apple-converted-space"> </span>to
submit their full manuscript for peer review.<o:p></o:p></span></p>
<p class="MsoNormal" style="caret-color: rgb(0, 0, 0);font-variant-caps: normal;orphans: auto;text-align:start;widows: auto;-webkit-text-size-adjust: auto;-webkit-text-stroke-width: 0px;word-spacing:0px">
<span style="color:black"> <o:p></o:p></span></p>
<p class="MsoNormal" style="font-variant-caps: normal;orphans: auto;text-align:start;widows: auto;-webkit-text-size-adjust: auto;-webkit-text-stroke-width: 0px;caret-color: rgb(255, 255, 255);word-spacing:0px">
<span style="color:black"><a href="https://think.taylorandfrancis.com/special_issues/deep-learning-approaches-geographical/"><span style="color:#03386D">https://think.taylorandfrancis.com/special_issues/deep-learning-approaches-geographical/</span></a><o:p></o:p></span></p>
<p class="MsoNormal" style="font-variant-caps: normal;orphans: auto;text-align:start;widows: auto;-webkit-text-size-adjust: auto;-webkit-text-stroke-width: 0px;caret-color: rgb(255, 255, 255);word-spacing:0px">
<span style="color:black"> <o:p></o:p></span></p>
<p class="MsoNormal" style="caret-color: rgb(0, 0, 0);font-variant-caps: normal;orphans: auto;text-align:start;widows: auto;-webkit-text-size-adjust: auto;-webkit-text-stroke-width: 0px;word-spacing:0px">
<span style="color:black">Deep neural networks have had a transformative impact across a wide range of fields, gaining significant traction among researchers in academia and industry. Traditional methods in artificial intelligence and machine learning have
long been part of Geographical Information Science (GIScience) and geocomputation, including research both on unsupervised learning approaches to geographic data mining (e.g., geodemographic classification and dimensionality reduction) and supervised methods
of inference (e.g., spatial autocorrelation and geographically weighted regression). However, while deep machine learning has found wide use in remote sensing and earth observation, its application to human geography has been neglected until recently (Harris
et al., 2017). Research works highlight the great potential of deep learning to study geographic phenomena: Xu et al. (2017) proposed the use of deep autoencoders to perform quality assessment of building footprints for OpenStreetMap; De Sabbata and Liu (2019)
explored a geodemographic classification approach based on deep embedding clustering; Palmer et al. (2021) have been exploring the use of street-view data in public health studies.<o:p></o:p></span></p>
<p class="MsoNormal" style="font-variant-caps: normal;orphans: auto;text-align:start;widows: auto;-webkit-text-size-adjust: auto;-webkit-text-stroke-width: 0px;caret-color: rgb(255, 255, 255);word-spacing:0px">
<span style="color:black"> <o:p></o:p></span></p>
<p class="MsoNormal" style="font-variant-caps: normal;orphans: auto;text-align:start;widows: auto;-webkit-text-size-adjust: auto;-webkit-text-stroke-width: 0px;caret-color: rgb(255, 255, 255);word-spacing:0px">
<span style="color:black">This special issue develops from discussions that emerged at the Deep learning approaches in GIScience session of the Annual International Conference of the Royal Geographical Society (with IBG), but submissions are open to all interested
authors. In particular, we welcome submissions focused on novel spatially-aware deep learning approaches and applying recent approaches to human geography topics in a novel way. Application areas include human geography, demography, digital geographies, public
health, social equity and justice, sustainability and resilience, transport science and urban planning, and the digital humanities.<o:p></o:p></span></p>
<p class="MsoNormal" style="font-variant-caps: normal;orphans: auto;text-align:start;widows: auto;-webkit-text-size-adjust: auto;-webkit-text-stroke-width: 0px;caret-color: rgb(255, 255, 255);word-spacing:0px">
<span style="color:black"> <o:p></o:p></span></p>
<p class="MsoNormal" style="font-variant-caps: normal;orphans: auto;text-align:start;widows: auto;-webkit-text-size-adjust: auto;-webkit-text-stroke-width: 0px;caret-color: rgb(255, 255, 255);word-spacing:0px">
<b><u><span style="color:black">Relevant topics include, but are not limited to:</span></u></b><span style="color:black"><o:p></o:p></span></p>
<ul style="margin-top:0cm;font-variant-caps: normal;orphans: auto;text-align:start;widows: auto;-webkit-text-size-adjust: auto;-webkit-text-stroke-width: 0px;caret-color: rgb(255, 255, 255);word-spacing:0px" type="disc">
<li class="MsoNormal" style="color:black;mso-list:l2 level1 lfo1">Geographic theory in deep learning approaches<o:p></o:p></li><li class="MsoNormal" style="color:black;mso-list:l2 level1 lfo1">Spatially-aware deep learning approaches<o:p></o:p></li><li class="MsoNormal" style="color:black;mso-list:l2 level1 lfo1">Deep learning approaches to analyse geospatial vector data<o:p></o:p></li><li class="MsoNormal" style="color:black;mso-list:l2 level1 lfo1">Deep learning approaches using quantitative-qualitative mixed-method<o:p></o:p></li><li class="MsoNormal" style="color:black;mso-list:l2 level1 lfo1">Deep learning approaches to geographic information retrieval and natural language processing<o:p></o:p></li><li class="MsoNormal" style="color:black;mso-list:l2 level1 lfo1">Deep learning approaches in geovisualisation<o:p></o:p></li><li class="MsoNormal" style="color:black;mso-list:l2 level1 lfo1">Deep learning applications with unstructured data or new data sources, including using data from street-view, drone or small low-cost satellites<o:p></o:p></li><li class="MsoNormal" style="color:black;mso-list:l2 level1 lfo1">Critical analysis of geographic deep learning<o:p></o:p></li><li class="MsoNormal" style="color:black;mso-list:l2 level1 lfo1">Novel geospatial datasets for geographic deep learning<o:p></o:p></li><li class="MsoNormal" style="color:black;mso-list:l2 level1 lfo1">Open research problems in applying deep learning methods in GIScience<o:p></o:p></li></ul>
<p class="MsoNormal" style="font-variant-caps: normal;orphans: auto;text-align:start;widows: auto;-webkit-text-size-adjust: auto;-webkit-text-stroke-width: 0px;caret-color: rgb(255, 255, 255);word-spacing:0px">
<span style="color:black"> <o:p></o:p></span></p>
<p class="MsoNormal" style="font-variant-caps: normal;orphans: auto;text-align:start;widows: auto;-webkit-text-size-adjust: auto;-webkit-text-stroke-width: 0px;caret-color: rgb(255, 255, 255);word-spacing:0px">
<b><u><span style="color:black">Important Dates</span></u></b><span style="color:black"><o:p></o:p></span></p>
<ul style="margin-top:0cm;font-variant-caps: normal;orphans: auto;text-align:start;widows: auto;-webkit-text-size-adjust: auto;-webkit-text-stroke-width: 0px;caret-color: rgb(255, 255, 255);word-spacing:0px" type="disc">
<li class="MsoListParagraph" style="color:black;margin-top:0cm;margin-bottom:0cm;mso-list:l0 level1 lfo2">
Abstracts (no more than 250 words):<span class="apple-converted-space"> </span><b><u>March 1st, 2022</u></b><o:p></o:p></li><li class="MsoListParagraph" style="color:black;margin-top:0cm;margin-bottom:0cm;mso-list:l0 level1 lfo2">
Decisions on abstracts: March 15th, 2022<o:p></o:p></li><li class="MsoListParagraph" style="color:black;margin-top:0cm;margin-bottom:0cm;mso-list:l0 level1 lfo2">
Full manuscripts: August 15th, 2022<o:p></o:p></li><li class="MsoListParagraph" style="color:black;margin-top:0cm;margin-bottom:0cm;mso-list:l0 level1 lfo2">
Initial editorial decisions: late 2022<o:p></o:p></li><li class="MsoListParagraph" style="color:black;margin-top:0cm;margin-bottom:0cm;mso-list:l0 level1 lfo2">
Accepted manuscripts online: 1-2 weeks after final acceptance on each manuscript<o:p></o:p></li><li class="MsoListParagraph" style="color:black;margin-top:0cm;margin-bottom:0cm;mso-list:l0 level1 lfo2">
Anticipated publication of the special issue: late 2023<o:p></o:p></li></ul>
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<span style="color:black"> <o:p></o:p></span></p>
<p class="MsoNormal" style="font-variant-caps: normal;orphans: auto;text-align:start;widows: auto;-webkit-text-size-adjust: auto;-webkit-text-stroke-width: 0px;caret-color: rgb(255, 255, 255);word-spacing:0px">
<b><u><span style="color:black">Special Issue Guest Editors</span></u></b><span style="color:black"><o:p></o:p></span></p>
<ul style="margin-top:0cm;font-variant-caps: normal;orphans: auto;text-align:start;widows: auto;-webkit-text-size-adjust: auto;-webkit-text-stroke-width: 0px;caret-color: rgb(255, 255, 255);word-spacing:0px" type="disc">
<li class="MsoListParagraph" style="color:black;margin-top:0cm;margin-bottom:0cm;mso-list:l1 level1 lfo3">
Stefano De Sabbata, University of Leicester (<a href="mailto:s.desabbata@le.ac.uk"><span style="color:#03386D">s.desabbata@le.ac.uk</span></a>)<o:p></o:p></li><li class="MsoListParagraph" style="color:black;margin-top:0cm;margin-bottom:0cm;mso-list:l1 level1 lfo3">
Andrea Ballatore, King’s College London (<a href="mailto:andrea.ballatore@kcl.ac.uk"><span style="color:#03386D">andrea.ballatore@kcl.ac.uk</span></a>)<o:p></o:p></li><li class="MsoListParagraph" style="color:black;margin-top:0cm;margin-bottom:0cm;mso-list:l1 level1 lfo3">
Godwin Yeboah, University of Warwick (<a href="mailto:g.yeboah@warwick.ac.uk"><span style="color:#03386D">g.yeboah@warwick.ac.uk</span></a>)<o:p></o:p></li><li class="MsoListParagraph" style="color:black;margin-top:0cm;margin-bottom:0cm;mso-list:l1 level1 lfo3">
Harvey Miller, Ohio State University (<a href="mailto:miller.81@osu.edu"><span style="color:#03386D">miller.81@osu.edu</span></a>)<o:p></o:p></li><li class="MsoListParagraph" style="color:black;margin-top:0cm;margin-bottom:0cm;mso-list:l1 level1 lfo3">
Renee Sieber, McGill University (<a href="mailto:renee.sieber@mcgill.ca"><span style="color:#03386D">renee.sieber@mcgill.ca</span></a>)<o:p></o:p></li><li class="MsoListParagraph" style="color:black;margin-top:0cm;margin-bottom:0cm;mso-list:l1 level1 lfo3">
Ivan Tyukin, University of Leicester (<a href="mailto:i.tyukin@leicester.ac.uk"><span style="color:#03386D">i.tyukin@leicester.ac.uk</span></a>)<o:p></o:p></li></ul>
<p class="MsoNormal" style="font-variant-caps: normal;orphans: auto;text-align:start;widows: auto;-webkit-text-size-adjust: auto;-webkit-text-stroke-width: 0px;caret-color: rgb(255, 255, 255);word-spacing:0px">
<span style="color:black"> <o:p></o:p></span></p>
<p class="MsoNormal" style="font-variant-caps: normal;orphans: auto;text-align:start;widows: auto;-webkit-text-size-adjust: auto;-webkit-text-stroke-width: 0px;caret-color: rgb(255, 255, 255);word-spacing:0px">
<span style="color:black">If you have any query, please do not hesitate to contact me.<o:p></o:p></span></p>
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<span style="color:black"> <o:p></o:p></span></p>
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<span style="color:black">All the best,<o:p></o:p></span></p>
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<span style="color:black">Stef.<o:p></o:p></span></p>
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<span style="color:black"> <o:p></o:p></span></p>
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<span style="color:black"> <o:p></o:p></span></p>
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<i><span style="font-size:10.5pt;color:black">“It’s </span><span style="color:black">all going to be alright in the end, and if it's not alright, it's not the end</span></i><span style="color:black">”<o:p></o:p></span></p>
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<span style="color:black">(by Ol Parker, via Wittertainment)<o:p></o:p></span></p>
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<b><span style="font-size:10.5pt;color:black"> </span></b><span style="color:black"><o:p></o:p></span></p>
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<b><span style="font-size:10.5pt;color:black">Dr Stefano De Sabbata (they/them)</span></b><span style="color:black"><o:p></o:p></span></p>
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<b><span style="font-size:10.5pt;color:black">Lecturer in Quantitative Geography</span></b><span style="color:black"><o:p></o:p></span></p>
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<span style="font-size:10.5pt;color:black">School of Geography, Geology and the Environment,</span><span style="color:black"><o:p></o:p></span></p>
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<span style="font-size:10.5pt;color:black">University of Leicester, University Road, Leicester, LE1 7RH, UK</span><span style="color:black"><o:p></o:p></span></p>
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<span style="font-size:10.5pt;color:black">Research Associate at the Oxford Internet Institute, University of Oxford</span><span style="color:black"><o:p></o:p></span></p>
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<b><span style="font-size:10.5pt;color:#420900">t: </span></b><span style="font-size:10.5pt;color:black">+44 (0)116 252 3812</span><span style="color:black"><o:p></o:p></span></p>
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<b><span style="font-size:10.5pt;color:#420900">e:</span></b><span style="font-size:10.5pt;color:black"> <a href="mailto:s.desabbata@le.ac.uk" title="mailto:s.desabbata@le.ac.uk"><span style="color:#00002F">s.desabbata@le.ac.uk</span></a></span><span style="color:black"><o:p></o:p></span></p>
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<b><span style="font-size:10.5pt;color:#420900">w: </span></b><u><span style="font-size:10.5pt;color:#00002D"><a href="https://sdesabbata.github.io/" target="_blank" title="https://www.oii.ox.ac.uk/people/stefano-de-sabbata/"><span style="color:#00002F">sdesabbata.github.io</span></a></span></u><span style="color:black"><o:p></o:p></span></p>
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<b><span style="font-size:10.5pt;color:#420900">w: </span></b><span style="font-size:10.5pt;color:black"><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:#00002F;background:white">le.ac.uk/departments/geography/people/stefano-de-sabbata</span></a></span><span style="color:black"><o:p></o:p></span></p>
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<b><span style="font-size:10.5pt;color:#420900">w: </span></b><u><span style="font-size:10.5pt;color:#00002D"><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:#00002F">oii.ox.ac.uk/people/stefano-de-sabbata</span></a></span></u><span style="color:black"><o:p></o:p></span></p>
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<b><span style="font-size:10.5pt;color:#420900">twitter: </span></b><span style="font-size:10.5pt;color:black"><a href="https://twitter.com/maps4thought" target="_blank"><span style="color:#00002F">@maps4thought</span></a></span><span style="color:black"><o:p></o:p></span></p>
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<span style="color:black"> <o:p></o:p></span></p>
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<span style="color:black"> <o:p></o:p></span></p>
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