Ensure equity in the impact of data science
Modern society is challenged by balancing the power of big data and its analysis with issues of privacy, equity, and safety. Safe use of data science includes making sure black-box solutions and machine learning methods also come with some certifiable guarantees that they will be unbiased, robust to uncertainties, and immune to deliberate attempts to compromise these properties. As data collection accelerates and use of data becomes increasingly tied to power and financial gain, WID data scientists are studying ways to ensure ethical and safe use of data that protect privacy and prevent bias.
A new era of data requires a fresh look at equity.
Much of WID's research contributes to the Data Equity Grand Challenge.
Explore WID news and discoveries:
UW–Madison to Continue Fundamental Data Science Research with Phase II Award from NSF
The Wisconsin Institute for Discovery is home to the Institute for the Foundations of Data Science, which has received Phase II funding from the National Science Foundation.
Continue Reading Solís-Lemus Awarded Grant to Develop Statistical Theory for Soil Data
Assistant professor of plant pathology Claudia Solís-Lemus is a recipient of funding from the Department of Energy to develop statistical theory and tools for computational biology.
Continue Reading WID Researchers Among Data Science Institute Mini Grant Recipients
Jon Eckhardt, Robert Nowak, and Kevin Ponto were among the recipients of nine mini grants from the American Family Insurance Data Science Institute to advance data science.
Continue Reading Researchers at UW–Madison Lead Data Science Coalition to Aid with COVID-19
WID's Data Science Hub is part of the COVID-19 Data Science Research Group that is interpreting data, using that data to create models, and sharing information and findings.
Continue Reading WPR: An Exciting Development, CRISPR Lets UW-Madison Researchers Edit Genes
WID's Kris Saha spoke to Wisconsin Public Radio to answer questions about gene editing technology CRISPR in response to a question received by WHYsconsin.
Continue Reading How a UW-Madison Engineer Could Help Beat a Virus at its Own Game
WID's John Yin, who uses experimental and computational methods to understand how viruses spread, is working on several projects that could have a direct bearing on COVID-19.
Continue Reading Our Grand Challenges
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