Mission

As data continues to accumulate at an ever increasing rate, so does the need for powerful and novel methods to extract information from data, in a form that is useful to individuals, society, researchers, and commerce. Research into the fundamentals of data science brings people with expertise in mathematics, statistics, and theoretical computer science together in a concerted transdisciplinary effort to explore new approaches to the formulation and solution of problems in data analysis. A previous generation of researchers at UW-Madison made foundational contributions to data science, in such areas as kernel learning, splines, and experimental design. The current generation of faculty is carrying forward this tradition. During the past decade, researchers across campus have done important work in diverse aspects of fundamental data science, as well as in applications to numerous areas of domain science, engineering, and medicine. This group forms the core of the Institute for Foundations of Data Science (IFDS) at UW-Madison. Building on previous work, and pursuing new goals sparked at the interfaces of mathematics, statistics, and theoretical computer science, IFDS aims to produce excellent research and to epitomize the possibilities of collaborative approach to investigating fundamental issues in data science.

The IFDS is supported by a $1.5 million grant from the National Science Foundation’s Transdisciplinary Research in Principles of Data Science (TRIPODS) initiative.

News

MADLab/AFRL Meeting
MADLab/AFRL Meeting
MADLab/AFRl meeting co-sponsored by IFDS.
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Third Round of Cluster Hires Announced
Third Round of Cluster Hires Announced
The new cluster will expand on existing strengths of the university in this critical area, contribute to the growth of new programs and institutes on...
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Papailiopoulos receives Sony Faculty Innovation Award
Papailiopoulos receives Sony Faculty Innovation Award
Sony Faculty Innovation Award provides up to $100K in funds to conduct pioneering research.
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IFDS Supporting Five Research Assistants in Spring 2019
IFDS Supporting Five Research Assistants in Spring 2019
Using funds from the National Science Foundation grant (under NSF’s TRIPODS and Convergence Programs), IFDS is funding five Research Assistants this semester to collaborate across...
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IFDS Supporting Five Research Assistants in Fall 2018
IFDS Supporting Five Research Assistants in Fall 2018
Each are advised by two IFDS faculty and collaborate across departments.
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Improved methods for studying hard-to-reach populations published in PNAS
Improved methods for studying hard-to-reach populations published in PNAS
Respondent-driven sampling is a popular network-based approach to sample hard-to-reach populations, where participants refer contacts into the sample through a coupon system. It has been...
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