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21-23 April | Florence, Italy
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Schedule is subject to change.
Tuesday April 21, 2026 11:15 - 11:25 CEST
This presentation will outline how the Global Earthquake Model (GEM) Foundation is currently using Overture data to assess risk due to earthquakes and other natural hazards around the world, the limitations of currently available data, and potential opportunities for future improvements.

We will also present the outcomes of a workshop hosted by GEM earlier this year, bringing together organizations actively collecting and disseminating datasets regarding the built-up environment.

GEM has a number of open software tools, datasets and standards that can be used freely for risk analysis and we believe that there are a number of other organizations that might also be prepared to contribute their own tools, data and expertise.

We would like to use this presentation to invite other parties interested in working in Disaster Risk Reduction/Climate Adaption/Humanitarian Response and related fields to join us to explore ways in which we can collectively improve the Overture data ecosystem to reduce the barriers to risk analysis and risk reduction.
Speakers
avatar for Paul Henshaw

Paul Henshaw

Director of Technology and Development, GEM Foundation
A software engineer by training, Paul leads the GEM Foundation Software Development and IT team and is the contact point for contracts and licensing. Paul is enthusiastic about open-source software, open data, open standards and international, cross-disciplinary collaboration, particularly... Read More →
avatar for Marco Baiguera

Marco Baiguera

Exposure Analyst, Global Earthquake Model Foundation
Marco is an Exposure Analyst at the Global Earthquake Model (GEM) Foundation in Pavia, Italy. At GEM, Marco focuses on improving the spatial resolution of exposure models, collecting data on residential, commercial, and industrial buildings, and enhancing exposure models for multi-hazard... Read More →
Tuesday April 21, 2026 11:15 - 11:25 CEST
Michelangelo
  General Sessions, Use Cases
  • Content Experience Level Any

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