An estimated 2.5 quintillion bytes of data are generated every day. Within this torrential flow lies tremendous value for scientific discovery, business decisions, and public policy, but managing and processing this data in order to extract these insights is a colossal challenge. New systems and methods for storing, combining, analyzing, and visualizing data are desperately needed to take full advantage of this valuable resource.
Data and database researchers at UChicago CS bring a holistic and interdisciplinary approach to these challenges, extending the theory and foundations of data management and data science. They develop resource-efficient data processing systems, platforms for large-scale video analysis, and systems that utilize and accelerate machine learning for deeper data discovery. They also work with colleagues from across the UChicago landscape to explore the application of data science to fields such as medicine, economics, astronomy, and climatology.
Labs & Groups
Center for Translational Data Science
ChiDATA
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News & Events
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What’s Real and What’s Not? Watermarking to Identify AI-Generated Text
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Enhancing Multitasking Efficiency: The Role of Muscle Stimulation in Reducing Mental Workload
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Unlocking the Future of AI: How CacheGen is Revolutionizing Large Language Models
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UChicago Partners With UMass On NSF Expedition To Elevate Computational Decarbonization As A New Field In Computing
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Assistant Professor Raul Castro Fernandez Awarded NSF CAREER Grant to investigate Data-sharing Markets
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Empowering Middle School Girls in Tech: compileHER’s <prompt/HER> Capstone Event
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Haifeng Xu Wins Best Paper Award at Leading AI Conference for Pioneering Research on Mechanism Design for LLMs
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