Museum maps at the Royal Geographical Society (with IBG)

The Royal Geographical Society (with IBG) has selected our museum mapping work as notable geo-visualisations! Andrea Ballatore, Lecturer in Social and Cultural Informatics at Kingโ€™s College London, and Fiona Candlin, Director of the Mapping Museums research project, were interested in understanding the spatial unevenness of the cultural sector by studying the location of museums in … Continue reading Museum maps at the Royal Geographical Society (with IBG)

Museumsโ€™ Online Responses to the COVID-19 Pandemic

New open-access journal article in the realm of museum analytics from the Museums in Pandemic project ๐Ÿ›๏ธ. ๐Ÿ“œโ€‚Andrea Ballatore, Valeri Katerinchuk, Alexandra Poulovassilis, and Peter T. Wood. 2024. Tracking Museumsโ€™ Online Responses to the COVID-19 Pandemic: A Study in Museum Analytics. ACM Journal of Computing and Cultural Heritage. 17, 1, Article 2 (2023), 29 pages. … Continue reading Museumsโ€™ Online Responses to the COVID-19 Pandemic

Digital Placemaking & Soft City Sensing ๐ŸŒ†๐Ÿ“Š

Very happy to be part of this amazing research network led by Prof Anders Koed Madsen of Aalborg University (Denmark)! Original announcement from Anders (source): I am really grateful thatย Independent Research Fund Denmarkย have awarded me a grant to lead an explorative explorative academic network on: โšก 'Digital Placemaking & Soft City Sensing' โšกThe network will … Continue reading Digital Placemaking & Soft City Sensing ๐ŸŒ†๐Ÿ“Š

Technological failures, controversies and the myth of AI

Pleased to have a new book chapter out in a book edited by Simon Lindgren, the leading digital sociologist: ๐Ÿ“œ A. Ballatore & S. Natale (2023) Technological failures, controversies and the myth of AI. S. Lindgren (ed.) Handbook of Critical Studies of Artificial Intelligence. Edward Elgar. [web] "In the popular imagination, the history of computing is often represented … Continue reading Technological failures, controversies and the myth of AI

GeoAI in Urban Analytics

This special issue on GeoAI led by Stef De Sabbata et al. is finally out! ๐ŸŒ๐Ÿ“ˆ๐Ÿค–๐ŸŒ†. ๐Ÿ“œ Stefano De Sabbata, Andrea Ballatore, Harvey J. Miller, Renรฉe Sieber, Ivan Tyukin & Godwin Yeboah (2023) GeoAI in urban analytics, International Journal of Geographical Information Science, 37:12, 2455-2463, DOI: 10.1080/13658816.2023.2279978 [web] (Image from Bing Create) We are writing … Continue reading GeoAI in Urban Analytics

Computing urban form with graph neural networks

This nice paper led by Stef De Sabbata was presented at the GeoAI workshop in Leeds ๐ŸŒ๐Ÿ“ˆ๐Ÿค–๐ŸŒ†. ๐Ÿ“œ Stefano De Sabbata, Andrea Ballatore, Pengyuan Liu and Nicholas J. Tate (2023) Learning urban form through unsupervised graph-convolutional neural networks. 2nd International Workshop on Geospatial Knowledge Graphs and GeoAI: Methods, Models, and Resources (GIScience 2023, September 12th, … Continue reading Computing urban form with graph neural networks

Why Is Greenwich so Common? A way of measuring uniqueness

Pleased to finally see this short paper written with Ordnance Survey's Stefano Cavazzi out. It is part of open-access LIPIcs proceedings, to be presented at GIScience 23 in Leeds ๐Ÿ“„๐ŸŒ๐Ÿšถโ€โ™€๏ธ. ๐Ÿ“œ Ballatore, A. and Cavazzi, S. (2023) Why Is Greenwich so Common? Quantifying the Uniqueness of Multivariate Observations, 12th International Conference on Geographic Information Science … Continue reading Why Is Greenwich so Common? A way of measuring uniqueness

Platial narratives from leisure walking

A short paper by our student James Williams, co-supervised at Nottingham and at the Ordnance Survey, to be presented at PLATIAL 23 in Dortmund ๐Ÿ‡ฉ๐Ÿ‡ช๐Ÿ“„๐ŸŒ๐Ÿšถโ€โ™€๏ธ. ๐Ÿ“œ Williams, J, Pinchin, J, Hazzard, A, Priestnall, G, Cavazzi, S, & Ballatore, A. (2023). Emerging Platial Narratives and Themes from a Leisure Walking Study. Fourth International Symposium on Platial … Continue reading Platial narratives from leisure walking