Spatial Data Science Conference 2019

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About

The Spatial Data Science Conference 2019 brought together more than 500 people at Columbia University, from a wide range of sectors and disciplines.

2019, 2018 and 2017

Job Category of Registrants

Visitors jobs

Previous editions

Recorded Talks

Towards Spatial Data Science

Javier de la Torre

Towards Spatial Data Science

Remake US election with h3 and Kepler.gl

Isaac Brodsky

Remake US election with h3 and Kepler.gl

From Data Science to Spatial Data Science

Edzer Pebesma

From Data Science to Spatial Data Science

Spatial Modeling in the Utilities Industry

Mudit Srivastav

Spatial Modeling in the Utilities Industry

DataRobot Introduction Session

Kevin Stofan

DataRobot Introduction Session

Enabling Social Impact Organizations with Spatial Analysis Techniques

Stuart Lynn

Enabling Social Impact Organizations with Spatial Analysis Techniques

Exploring The Atlas of Inequality in US Cities

Esteban Moro

Exploring The Atlas of Inequality in US Cities

Geo Exploration with Elasticsearch and Kibana

Alona Nadler

Geo Exploration with Elasticsearch and Kibana

Why the Future of Urban Data Might not be Open...

Alex Singleton

Why the Future of Urban Data Might not be Open...

From Growth Hacking to Growth Mapping

Neera Chatterjee

From Growth Hacking to Growth Mapping

Improving Spatial Models with New Location Data Streams

Frode Bjerke, Janine Yoong, Adam Waksman, Edward Lee and Lauren Spiegel

Improving Spatial Models with New Location Data Streams

Mapping for Early Warning Sensing Systems for Infectious Diseases

Mengdie Zhuang

Mapping for Early Warning Sensing Systems for Infectious Diseases

Applications of geo-spatial analysis within fundamental investment research

Rayne Gaisford

Applications of geo-spatial analysis within fundamental investment research

Spatial Data Science for Social Good

Anna Dixon and Michael Dowd

Spatial Data Science for Social Good

What Good are Spatial Interaction Models?

Maarten Vanhoof

What Good are Spatial Interaction Models?

Consequence Risk Scoring in the City of Light - A Gas Utility Example

Kevin Han

Consequence Risk Scoring in the City of Light - A Gas Utility Example

Predicting in-store Visitation Using Web Visitation Data

Chris Jenness

Predicting in-store Visitation Using Web Visitation Data

The Vehicle Routing Problem: Optimizing School Bus Routes in Philadelphia through Spatial Analysis

James McClain

The Vehicle Routing Problem: Optimizing School Bus Routes in Philadelphia through Spatial Analysis

Making Spatial Access Measurement Accessible

Julia Koschinsky

Making Spatial Access Measurement Accessible

From Outsmarting Traffic to Eliminating it All Together

Carolina Pinzón

From Outsmarting Traffic to Eliminating it All Together

Data Mining the City: Agent Based Simulation for Spatial Behavior Prediction

Violet Whitney

Data Mining the City: Agent Based Simulation for Spatial Behavior Prediction

Using Whitespace Analysis for PE Investment Decision Making

Tim Kiely

Using Whitespace Analysis for PE Investment Decision Making

Satellite Image Analysis at Scale

Danil Kirsanov

Satellite Image Analysis at Scale

Location Intelligence and Optimization for the Enterprise

Chris Groer

Location Intelligence and Optimization for the Enterprise

People travelled
from far and wide
to #SDSC19

Thanks
to our sponsors

Thanks to our sponsors

Interested to sponsor #SDSC20?

Download the brochure!

Previous editions

Take a look back at Spatial Data Science Conference highlights from 2018 and 2017