News
CS&E Data Scientists Create First-of-its-kind Lakes and Reservoirs Dataset
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CS&E data scientists led an interdisciplinary research team to publish a comprehensive global dataset of lakes and reservoirs, tracking changes over the last 30+ years.
CS&E makes big showing at IEEE BigData 2021
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Seven papers from faculty, students, and alumni were accepted to the top tier research conference in Big Data.
Kumar's climate work featured on Minnesota Public Radio
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MPR interviewed Vipin Kumar about how the new NSF-funded climate modeling center will help improve future models.
U of M is part of $25M AI-based climate modeling center
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The NSF-funded center will leverage big data and machine learning to improve climate projections.
Chatterjee article published in Nature Communications
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The project is one of 50 recently published papers to make the "Editors' Highlights" page of Nature Communications.
New machine learning methods could improve environmental predictions
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Vipin Kumar and team studied predicting flow and temperature in river networks.
Collaboration with Cisco explores frontier of data technologies
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The research will seek to advance cutting-edge technologies that transform the way people access, manage, and protect data.
Keefe's visualization work featured in American Scientist
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Data scientist Dan Keefe is working to create visualization tools by blending the languages of science and art.
Collaborative UMN research team awarded $1.13 million from NSF
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Data science graduate faculty member Stefano Martiniani will be working on the development of ColabFit project.
Kumar collaborates to study carbon credits for farmers
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He will be bringing data mining expertise to the project team, which received a $4.5 million award from ARPA-E.