Geospatial Data and Machine Learning for Risk Prevention and Management

 

Address:

Digital Catapult
101 Euston Rd
London NW1 2RA

Start:

25/11/2016 - 10:00 am

End:

25/11/2016 - 3:00 pm

In this workshop we will explore the current challenges faced by companies involved in the different phases of a social / humanitarian crisis. The goal is to identify how innovation in the Geospatial arena and advancement in Machine Learning can help these companies reduce costs and unlock new applications.

This workshop follows on from our Geospatial 2.0 workshop in July 2016.

The workshop will bring together academic and industry experts as well as users who focus on:

  • Disaster prevention, management and response
  • Natural and man-made disasters (e.g. earthquakes, flooding, oil spills, migration…)
  • Insurance and risk management

The attendees will be invited to identify specific opportunities where the application of new techniques can overcome the end user challenges.

Delegate List

Click here to view the delegate list 

Agenda

Click here to view the workshop

Presentations

Welcome and Introduction
Adrien Muller – Satellite Applications Catapult – Geoinformation, Machine Learning and Risk Management

Showcase of companies’ capabilities
Luca Perletta – DigitalGlobe – Support from Space
Paula Martí – Deimos Space UK Ltd – Computer Vision for Satellite Data Applications
Chris Ewing – Aon Benfield – Catastrophe Model Development
Gill Dickson – Airbus DS – Actionable Intelligence for the Challenges of tomorrow
Anu Chandra – Ryelore – Info available via email

End-user challenges – pitch sessions
Jonathon Gascoigne – Willis Tower Watson – Property Exposure
Gavin Lewis & Chris Elliot – ImageCat / Charles Taylor – Port Accumulations
John Bevington – JBA / ImageCat – flood Foresight
Tom Hughes – MapAction – Paraguay Floods

 

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