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to advance AI-driven urban climate action and data accessibility through the CityCatalyst platform.

to pilot AI use cases to generate insights from human trafficking data and implement survivor-centered data governance

to use machine learning to enhance human rights data management and advocacy

to advance tools for small-scale farmers to share and access data to improve climate resilience

to support low-income communities and advocates to influence decisions about AI use in high-impact areas

for fenceline communities to manage and share data on local pollution and associated health impacts

to improve the ability of automatic speech recognition models to recognize stuttered speech

to complete a proof of concept using machine learning to predict the likelihood of intimate partner violence

to develop methods and tools to test for and mitigate racial bias at the intersection of AI and access to housing

to expand WRI’s Data Lab for climate-focused AI innovation and global data accessibility.

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