There is an urgent need to develop models that can inform policy makers, as well as the general public, in responding to the COVID-19 pandemic. An interdisciplinary coalition hosted by the American Family Insurance Data Science Institute is rapidly curating information.
Are you looking for campus data and computing resources to support your research? Interested in starting new collaborations with data scientists and other researchers on campus? Looking for training in data and computing skills? The Data Science Hub's team of expert facilitators provides consultations and training.
UW-Madison offers a BA/BS in Data Science in the College of Letters and Science. Additionally, many Master's and Ph.D. programs on campus involve data science. This website is your starting point to explore majors and courses in data science at UW-Madison.
Faces of Data Science
“Understanding when and whether algorithms are unbiased or ‘fair’ is one of many issues data science will need to wrestle with. This will require interdisciplinary work including expertise in data science, philosophy and ethics, as well as business and economics.”
Professor, Risk and Insurance, Wisconsin School of Business
Hickman-Larson Chair in Actuarial Science
Faculty Director, M.S. in Business Analytics
Daniel Bauer says he has the best job in the world. His appointment in the Wisconsin School of Business combines the excitement of entrepreneurship with the challenge of building academic programs on the cutting edge of quantitative research. Daniel uses machine learning and natural language processing to parse complex contracts for variable annuities, and to build models for understanding if they can present beneficial choices for retirement savings. His work informs policy decisions, such as decisions about tax incentives for this retirement product. His research also supports retirement planners and the insurance industry.
Bias and fairness in artificial intelligence are another avenue of inquiry for Daniel. While the benefits of data science are plentiful, he believes the biggest challenge over the next fifty years will be keeping its minuses in check.
Data science is an emerging field that is roughly defined as the study, development, and application of methods that reveal new insights from data, which include numbers, text, images, graphs, sounds, code, and metadata. This website provides an inclusive data science portal to guide people to relevant resources and activities at UW-Madison.
As data reshapes our world, UW–Madison brings the power of data science to every field of study. The future path of data science will be shaped by insights from all disciplines.