Tag: software
Software tools are a critical component or product of many WID projects and initiatives, especially within WID’s Data Science Hub.
Reed Nelson
A self-sustaining database of Latinx in Statistics and Data Science for the ASA
Jifan Zhang
Efficient and robust active learning that reduces data labelling costs at scale
Sam Ozminkowski
Bayesian regression for inference of relationships between microbiome and variables of interest
Data Scientists Unite Research and Policy in New Project
A new data science project, “WEREWOLF”, puts powerful modeling tools into the hands of Wisconsin policymakers to create the energy systems of tomorrow.
Jon Eckhardt
Associate Professor
Entrepreneurship, including firm formation, venture finance, and university driven entrepreneurship
Bryce Sprecher
Acquire, process, interpret, and display spatial data for education, insight, and experience.
WID Researchers Showcase “Virtual Dairy Farm Brain” at American Dairy Science Association Meeting
By combining information from many farms, predictive models and analytic tools can be developed to help producers and consultants navigate, visualize. and analyze the data they are getting from an increasing number of sources to support better management decisions.
Sarah Stevens
Data Science Hub Facilitator
Facilitating connections and training researchers in data science.
Brian Yandell
Professor
Co-lead of Data Science Hub (hub.datascience.wisc.edu). Research on systems genetics.
WID Researchers Looking to the Future with UW2020 Awards
Investigators from WID are among the recipients of the latest round of UW2020 awards.
Building Better Tools for the Big Data Boom
WID researchers are engaging in fundamental mathematical and statistical research to support the development, testing, and fine-tuning of tools for the future, finding new ways to make sense of the mountains of data that are available in the 21st century and bringing into view important applications on the horizon.
App Helps Farmers Make the Most of their Corn Harvest
A new tool developed at UW-Madison could save farmers time and money during the fall feed-corn harvest and make for more content, productive cows year-round.
Nowak Research Group
The NRG focuses on signal processing, machine learning, optimization, and statistics. Areas of focus include sparsity and active learning, learning graphs and networks, and interactive machine learning with humans.
Adam Christensen
Assistant Scientist
Building optimization models that help untangle issues of environmental sustainability.
Lauren Michael
Research Computing Facilitator, Center for High Throughput Computing
Facilitating compute-driven transformations to research projects via personalized consulting.
Christina Koch
Research Computing Facilitator
Facilitating transformative science through computing.
