News

The ReaLSAT dataset is a comprehensive global dataset of lakes and reservoirs, tracking changes over the last 30+ years
Research

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.

Headshots of Vipin Kumar and George Karypus
Research

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.

Code sample
Research

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.

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Research

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.

Ansu Chatterjee headshot
Research

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.

Bridge over the Delaware River
Research

New machine learning methods could improve environmental predictions

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Vipin Kumar and team studied predicting flow and temperature in river networks.

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Research

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.

Visualization of art and science
Research

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.

Stefano Martiniani
Research

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.

SYMFONI graphs
Research

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.