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  Gradient Spaces is a research group in the Civil and Environmental Engineering Department, Stanford University, under the Schools of Engineering and Sustainability.
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  Our research and educational activities focus on developing quantitative and data-driven methods that learn from real-world visual data to design and construct data-driven sustainable and adaptive environments across the physical and digital space.
 
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  Gradient Spaces is a research group in the Civil and Environmental Engineering Department, Stanford University, under the Schools of Engineering and Sustainability.
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  Our research and educational activities focus on developing quantitative and data-driven methods that learn from real-world visual data to design and construct data-driven sustainable and adaptive environments across the physical and digital space.