[Geo4All] Deadline on Monday - Deep learning applications in geography at the RGS Annual International Conference 2022

[De Sabbata, Stefano (Dr.)]

👉👉👉 Please send your abstracts to s.desabbata at le.ac.uk<mailto:s.desabbata at le.ac.uk> by Monday! 😊

Dear all,

(apologies for cross-posting)

This is the final call for papers for the session for the Annual International Conference of the Royal Geographical Society (with IBG)<https://www.rgs.org/research/annual-international-conference/> on Deep learning applications in geography<https://geoinfo.science/rgs-2022-session-aic-2-deep-learning/>. If you are interested in presenting your work at the RGS AIC this year (Newcastle University, from Tuesday 30 August to Friday 2 September 2022), please do submit your 250-word abstract to me by Monday March 21st5pm GMT.

Abstract

Deep learning approaches are becoming an integral part of the GIScience toolbox. Li et al. 2021<https://doi.org/10.1080/13658816.2021.1912347> combined graph convolutional networks and recurrent neural networks to model human activity intensity including interactions in physical and social space. Liu and De Sabbata 2021<https://doi.org/10.1016/j.compenvurbsys.2020.101583> developed a graph-based semi-supervised approach to classify social media posts based on their text, image and spatio-temporal information. Palmer et al. 2021<https://doi.org/10.1038/s41598-021-84572-4> applied computer vision approaches to the Liverpool 360º Street View dataset to explore the exposure to fast food, gambling and alcohol advertisements. Zheng and Sieber 2022<https://doi.org/10.1111/tgis.12869> explore the interaction between artificial intelligence and human intervention in the development of smart cities.

Following up on last year’s successful session on deep learning approaches in GIScience, this year we aim to continue to explore the application of these new tools in geography. Sitting at the crossroads between geographical enquiry and scientific and technological development in information and computer science, GIScience has always been a forum for both the application of new technologies in geography and the geographical critique of those same tools. Continuing this tradition, this session aims to bring together contributions that showcase the applications of deep learning tools in any form of geographic and cartographic enquiry, contributions that demonstrate novel spatially-aware deep learning approaches and contributions that aim to critically enquire the implications of the use of these new tools in geography.

Organisers

  *   Dr Stefano De Sabbata<https://sdesabbata.github.io/>, University of Leicester
  *   Dr Andrea Ballatore<https://aballatore.space/>, King’s College London
  *   Dr Godwin Yeboah<https://warwick.ac.uk/fac/arts/schoolforcross-facultystudies/igsd/about/people/gyeboah/>, University of Warwick

Instructions for Authors
Please submit abstracts of no more than 250 words for 15 minutes presentations to s.desabbata at le.ac.uk<mailto:s.desabbata at le.ac.uk> by Monday March 21st5pm GMT.

All the best,
Stef.


“It’s all going to be alright in the end, and if it's not alright, it's not the end”
(by Ol Parker, via Wittertainment)

Dr Stefano De Sabbata (they/them)
Associate Professor of Geographical Information Science
School of Geography, Geology and the Environment,
University of Leicester, University Road, Leicester, LE1 7RH, UK
Research Associate at the Oxford Internet Institute, University of Oxford
t: +44 (0)116 252 3812
e: s.desabbata at le.ac.uk<mailto:s.desabbata at le.ac.uk>
w: sdesabbata.github.io<https://sdesabbata.github.io/>
w: le.ac.uk/departments/geography/people/stefano-de-sabbata<http://www2.le.ac.uk/departments/geography/people/stefano-de-sabbata>
w: oii.ox.ac.uk/people/stefano-de-sabbata<https://www.oii.ox.ac.uk/people/stefano-de-sabbata/>
twitter: @maps4thought<https://twitter.com/maps4thought>


-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://lists.osgeo.org/pipermail/geoforall/attachments/20220318/f8382646/attachment-0001.html>