Webinar interdisciplinare al GSSI computer science/social sciences, 25 February 2021, 16:00 GMT/17:00 Italian time
Virtual link: https://us02web.zoom.us/j/83241526686
As a clear-cut distinction between online and physical spaces rapidly degrades, digital platforms like social media have become an integral component of how many people’s everyday experiences are mediated. Online representations of places are becoming pivotal in informing our understanding of urban life. Content production on online platforms is grounded in the geography of their users and their digital infrastructure. These constraints shape place representation: the amount, quality, and type of digital information available in a geographic area. As such, increasing interest has emerged in exploring how the content shared through those online platforms contributes to the collaborative creation of places in physical space at the urban scale.
The talk will provide a broad overview of emerging approaches at exploring digital content about urban places, including the opportunities offered by recent developments in deep learning and graph convolutional neural networks, and mixed qualitative-quantitative methods.
Stefano De Sabbata is a Lecturer in Quantitative Geography at the School of Geography, Geology and the Environment of the University of Leicester and Research associate of the Oxford Internet Institute of the University of Oxford. Stef has an interdisciplinary background in computer science (BSc and MSc in Computer Science at the University of Udine), geographic information science (PhD at the University of Zurich) and social sciences of the internet (researcher at the Oxford Internet Institute of the University of Oxford). Stef’s research focuses on volunteered geographic information and digital geographies, geographic information retrieval, and machine learning approaches in geographic information science and quantitative human geography. More info here