Tao Cheng
Professor of Geoinformatics, Dept. of Civil, Environmental and Geomatic Engineering, University College London

Prof Cheng is the world leading expert in the principles and practice of (Big) spatio-temporal data analytics. She has developed theories and methods to model and predict space-time processes by statistical and machine learning approaches and has first-hand experience of big data analytics in urban mobility, intelligent policing, retail business and hazard prevention.

Network and Graph-based SpaceTimeAI

This talk will propose to use networks (graphs) as the spatial structure to present space-time processes happening at places that are conventionally represented as spatial units: points, lines/networks, or polygon/areas/grids. These processes could be dense (everywhere) or sparse (only somewhere), such as flows on almost all roads or crimes only at some locations (many zero observations for sparse point data). This talk will show cases of applications in transport, crime and public health to demonstrate the strength of using networks and graph-based deep learning for space-time prediction and analysis.

Mark Birkin
Professor of Spatial Analysis and Policy in the School of Geography, University of Leeds

Mark Birkin is Professor of Spatial Analysis and Policy in the School of Geography, University of Leeds. He has longstanding interests in mathematical modelling of urban and regional systems including geodemographics, microsimulation, agent-based modelling, and spatial decision-support systems.

Urban Analytics: Progress and Prospects
Bruno Sánchez-Andrade Nuño
Principal Scientist at Microsoft "AI for Earth"

Principal Scientist at Microsoft "AI for Earth", building the "Planetary Computer". Impact Scientist. By training PhD in Astrophysics, rocket scientist by postdoc. Bruno has led Big Data innovation at the World Bank Innovation Labs, served as VP Social Impact at the satellite company Satellogic and Chief Scientist at Mapbox. Bruno has published the book "Impact Science" on the role of science and research for social and environmental Impact. He was awarded Mirzayan Science Policy Fellow of the US National Academies of Science and a Young Global Leader of the World Economic Forum.

Krzysztof Janowicz
Professor of Geographic Information Science and Geoinformatics, Dept. of Geography, University of California, Santa Barbara

Krzysztof Janowicz is a professor for Geographic Information Science and Geoinformatics at the Geography Department of the University of California, Santa Barbara, USA, director of the Center for Spatial Studies, and former chair of UCSB's Cognitive Science Program. He is also an Editors-in-Chief of the Semantic Web journal. Methodologically, his niche is the combination of theory-driven and data-driven techniques for representing and reasoning about geographic data.

Enriching Geo-Data via Knowledge Graphs