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:
Researchers Look to Control Organ Function Through New Computational Model
A cross-institutional team including WID's John Yin is creating a computational model to guide the development of bladder therapeutics.
Continue Reading Data Science Research Bazaar Seeks Proposals
The Bazaar, happening throughout February, 2021, has the theme Data Science for the Social Good.
Continue Reading 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 Our Grand Challenges
Keep the human brain healthy
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