Description

Spatial Data Science plays a crucial role in addressing climate change and minimizing its impact on businesses through asset damage, supply chain and operations disruptions, as well as the financial risks associated with the transition to a low-carbon economy. In this webinar, we will harness spatial data coming from multiple sources to create composite scores that can describe the climate risk associated with different assets, from people to infrastructure. All of this will be done within the CARTO cloud native environment. 

In this live session and tutorial, you will learn how to: 

  • derive composite scores through simple SQL statements, from variable selection and preprocessing to choosing the appropriate way to scale and aggregate the data 
  • use a low-code workflow to leverage Large Language Models (LLMs) to summarize the information from these scores to inform decision makers 
  • create interactive maps to empower companies to manage climate risk efficiently


Local ODSC chapter in NYC, USA

Instructor's Bio

Lucía García-Duarte

Data Scientist at Carto

Lucía is part of the Data Science team at CARTO, where she develops spatial statistics and machine learning solutions that unveil the hidden potential of location-based data. Lucía holds a Bachelor's in Biomedical Engineering and a Master’s in Big Data Analytics from Universidad Carlos III, where she conducted machine learning research on various fields ranging from medical imaging to spatio-temporal climate forecast.

Webinar

  • 1

    ON-DEMAND WEBINAR: Spatial Data Science for Climate Risk Analytics

    • Ai+ Training

    • Webinar recording

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