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AI Climate.
A program of the Institute for International Urban Development
for climate resilience
a decision-making tool
With support of the Patrick J. McGovern Foundation Accelerator Grant we are working to advance the AI Climate Algorithms
Courtesy Wix.com
Courtesy Wix.com
AI tool
machine learning
detects, monitors, predicts
AI Climate is a decision making/mapping tool for climate-resilience planning geared to secondary and tertiary cities and their regions which lack data at the local level and have limited technical capacity and resources. It uses machine learning (ML) technology that processes geospatial imagery and geo-referenced datasets, deriving data in the form of analytics-ready-layers such as impacts of flooding, landslides, land degradation, and others specific to the region.
with and for
people
in the global south
vulnerable communities
With these layers, AI Climate maps, monitors, and assesses climate change-related impacts in fast urbanizing cities while identifying and focusing on the poorer, most vulnerable communities within them.
The AI Climate platform is easy and ready to use, faster, and cheaper to update compared to traditional methods. Thus freeing funds to build resilience in cities and communities in an easier scalable way. AIClimate has a strong community data validation and participation component.
Credit I2UD Dr. Mona Serageldin Arusha - Ward Meetings 2016
Courtesy Google Earth - 3D used as base to compose this graphic
technology
and beyond
The final output is an up-to-date flood-risk heat map applicable to the city and its region, featuring the footprints of socially vulnerable areas. It also includes landslides and land value grid map. Since both flooding and informal settlements are moving targets, it is imperative that we understand the proximate future in fast urbanizing cities.
Most importantly, this tool is complemented by a user-centered community process for co-creation of local flooding maps, a scenario-planning and co-design of equitable interventions to mitigate their exposure to climate change hazards.
For more information contact: Alejandra Mortarini or Carlos Rufin
at innovations4change@gmail.com
deep neural networks
2022
advancing
developing
Patrick J. McGovern Foundation Accelerator Program
The Patrick J. McGovern Foundation has named 10 climate action organizations around the world to the 2022 Accelerator Grant Program to advance their
use of data and AI for impact. We are proud and honored to be one of these 10 organizations.
:
2020-21
testing
Institute for International Urban Development
Our initial investment allowed us to proceed with a proof of concept (PoC) focused on river/rain flooding in two cities in Honduras, which we completed in 2021 together with our technology and scientist collaborators in Honduras. The PoC showed that ML algorithms can identify river/rain flooding risks and socially vulnerable communities.
OUR TEAM:
PARTNER ORGANIZATIONS
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