Bridging the Data Analytics Divide for Climate Disaster Preparation and Action

Date: October 4, 2023 Location: Online only

In any major climate-linked crisis, access to geo-spatial-temporal datasets, mapping, modeling, and analytical tools are critical to aid recovery efforts and protect communities. Many expert researchers, especially scientists and institutions in low-income countries, lack the tools to access and analyze relevant data, to inform local decision makers on how to act rapidly and effectively.

Currently, there is no mechanism to harmonize global access to urgently needed datasets and high-performance computing tools. This discussion, which originally aired on Wednesday, October 4 at 11:55AM ET at the Predictive Analytics World Climate Conference (PAW), was led by the International Science Reserve. It brought together climate tech and corporate leaders to discuss how to bridge the data analytics divide.

Panelists included:

• Mila Rosenthal, Executive Director, International Science Reserve (Moderator)
• Matthew McKenzie, Consultant and Developer, Kenz, LLC
• Daniel San Martin, PhD Student, Universidad Técnica Federico Santa María
• Campbell D. Watson, Senior Research Scientist and Global Lead, Accelerated Discovery-Climate, IBM Research