A programmer is working to make scientific data easier to picture, from creating images of spiral galaxies based on theoretical data to visualizing satellite imagery.
The predictive tool is a boon for researchers studying how cells control the activity of genes, helping explain how cells achieve their key functions and how they go haywire, as happens in diseases such as cancer.
Kevin Eliceiri says he has always believed that science is best done by building on the work of others and openly sharing what you have done.
In a meeting at the Weinert Center for Entrepreneurship at the Wisconsin School of Business, Hyunjun Park said the device will hold digital information in DNA – life’s evolution-perfected “data storage” molecule.
Data visualizations generated by a Reddit competition reveal a concerning trend that’s been known to scientists at UW–Madison and elsewhere for decades: ice is disappearing on Lake Mendota.
A new collaboration involving UW–Madison will develop novel data science tools to sniff out hidden weather patterns, improving weather forecasts and scientific understanding of global climate.
A new website makes it easier for professionals to tap into UW–Madison graduate programs that prepare them for careers in the burgeoning field of data science and analytics.
“The pace of change in the data science field is extremely rapid, and we think the data science initiative is one very good way to keep UW–Madison research on pace with those changes,” says Associate Vice Chancellor Steve Ackerman.
Ensodata, a UW–Madison spinoff that sifts through mountains of data from studies at sleep centers, received approval from the Food and Drug Administration on April 11 for its main product to be a medical device.
Why did easy-to-see and once-common structures called stromatolites essentially cease forming over the long arc of earth history?
A UW–Madison team is using a combination of outreach, sampling and detailed watershed modeling to remove obstacles that prevent more widespread use of green infrastructure, and, more importantly, evaluate which green infrastructure strategies are most effective in which areas.
Computer chips in development at the University of Wisconsin–Madison could make future computers more efficient and powerful by combining tasks usually kept separate by design.
University of Wisconsin–Madison engineers recently used powerful computers to quickly and accurately develop the world’s largest computed database of information about an important materials-mixing process called diffusion.