#SDSC21 will demonstrate how the future of Data Science & GIS revolves around spatial analysis.
The conference will feature a series of keynote presentations and workshops that cover cutting-edge techniques in spatial modeling, machine learning, spatial statistics, geo-processing at scale, and novel uses of spatial data sets.
Keynote speakers will inspire you with their vision for the future of Spatial Data Science, focusing on the latest in modelling techniques and new data streams.
Learn first-hand how to use new geospatial technology in your Data Science workflows. Connect with industry experts, product gurus, and innovators from a range of industries.
Data and geospatial experts will come together to discuss how they see our space evolving, focusing on how the growth of Spatial Data Science is affecting the Location Intelligence ecosystem.
There’s more than just great content—it’s also an excellent opportunity to exchange ideas & valuable industry insights with other professionals in our networking lounge and dinner.
Keep your eyes peeled, we’ll soon be adding new speakers and sessions here.
Take a look back at Spatial Data Science Conference 2019 highlights
Senior Software Engineer at Uber
Head of Data Strategy at Jefferies
Business Analyst at Waze
Global Head of Real Estate Data & Insights at WeWork
Data Scientist at Airbnb
Professor of Geographic Information Science at Uni. of Liverpool
Engineering Manager at Facebook
Researcher at the Bartlett Centre for Advanced Spatial Analysis (UCL)
Want to present at SDSC Europe? Please, send us your proposal before February 26th and we will evaluate it.
Don’t miss a unique opportunity to put your organization at the forefront of the Spatial Data Science space, building your brand and connecting with more than 400 Data Scientists and Developers from a wide range of industries.
55 Exhibition Road,
Whether you're more interested in Python or R, we'll be holding interactive sessions on September 23rd so that you can learn from industry specialists.
'An Introduction to Spatial Data Science with R', with Edzer Pebesma
'Using CARTOframes in your Spatial Data Science Workflows', with Andy Eschbacher
'Datashader for Spatial Data Science', by Brendan Collins
Anna Dixon and Michael Dowd