The Spatial Data Science Conference (#SDSC19) is the first event to bring together Data Scientists and Developers who specialize in working with spatial data.
Founded in 2017, the conference brings together organizations who are pushing the boundaries of spatial data modelling - ranging from large enterprise, to cities and government, as well as thought leaders from academic institutions.
The agenda will be packed with keynotes, panels, technical workshops, and opportunities to network with experts in spatial data from across the globe.
Sina has been recently focus on promoting geospatial indexing systems using hexagons to enable machine learning for geospatial analytics.
Dunia is the Global Head of Real Estate Data and insights at WeWork. Her focus has been to build tools to optimize WeWork’s pre-opening scale and speed, as well as leading Market Intelligence.
Jack is on Airbnb's Homes Platform team, focusing on developing scalable products to onboard and manage hosts where short-term rental regulations apply.
Esteban Moro is associate professor at Universidad Carlos III de Madrid and currently, He is a visiting professor at MIT Media Lab.
Danil works on ML problems in Facebook Spatial Computing group. He holds PhD in Applied Math from Harvard and prior to Facebook worked on scalable computing at Microsoft and MathWorks.
Neera is a Senior Product Manager at Instacart, the North American grocery delivery and e-commerce company. As part of Instacart's Emerging Products team, Neera leads geographic and category expansions.
The day before the conference we'll be hosting a series of interactive workshops with experts from across the globe. Places are limited, and available to SDSC attendees only.
From Data Science to Spatial Data Science
Spatial Modelling in the Utilities Industry
Exploring The Atlas of Inequality in US Cities
Data Mining the City: Agent Based Simulation for Spatial Behavior Prediction
Why the future of urban data might not be open…
From Growth Hacking to Growth Mapping
Geospatial Processing & Natural Experiments for Regulatory Affairs
Improving spatial models with new location data streams chaired by Javier Perez Trufero, Head of Data at CARTO.
Using complex datasets for infectious disease identification and intervention
Spatial Data Science for Social Good: Improving Haitian’s access to dignified sanitation through data
A series of Spatial Stories from leading Data Scientists.
The Vehicle Routing Problem: Optimizing School Bus Routes in Philadelphia through Spatial Analysis
Making Spatial Access Measurement Accessible
Using Whitespace Analysis for PE Investment Decision Making
10:30 AM - 12:00 PM
This workshop will give an introduction to the R-spatial software ecosystem, its history and recent developments. It will discuss spatial
feature data, raster data, spatio-temporal data, movement data, show examples, and discuss future developments. It will also point to places for further reading, finding software packages, and asking questions.
Prior knowledge of R is useful, but not required.
2:00 PM - 4:00 PM
CARTO's Lead Data Scientist and CARTOframes creator, Andy Eschbacher, will host a workshop that introduces basic spatial data science workflows to show how to get more information out of geodata, including exploratory spatial data analysis, spatial lag and spatial error models, as well as dynamic visualization of model outputs in a map in a notebook.
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 300 Data Scientists and Developers from a wide range of industries.Become a Sponsor