The Data Science Institute recently welcomed 13 new DSI Affiliates who are actively engaged in foundational or use-inspired research, aligned with the DSI mission and vision, that is relevant to data science.
Explore Potential and Limits of AI and ML at the Research Bazaar
Calling all data enthusiasts! Get ready to dive into the world of AI and machine learning at the 6th annual Data Science Research Bazaar, hosted by the Data Science Hub on March 19-20.
Submit a Nomination for the Inaugural UW-Madison Open Awards
The UW–Madison Open Awards recognize and celebrate those using open practices in their work and who are inspiring others to do the same.
DSI Affiliate Ilias Diakonikolas Awarded WARF Romnes Fellowship
Diakonikolas studies the algorithmic foundations of massive data sets and works on designing efficient algorithms for fundamental problems in machine learning.
DSI-Plant Pathology Partnership Blooms With New Publication
DSI’s Arjun Iyer and Iain McConnell worked with Kim Cowles and Jeri Barak, Plant Pathology, to create a Streamlit app for leaf area and lesion analysis.
The Ethics of Conservation Genetics
A team of researchers at UW–Madison is exploring intersections between conservation, genetics, ethics, and data science. The big picture is to lay the groundwork for technically and ethically sound research for all future conservation genetics work — and learn which conditions can make that work possible.
Jelena Diakonikolas Receives NSF CAREER Award
DSI Affiliate Jelena Diakonikolas recently received a NSF CAREER Award for a proposal inspired by a DSI event on climate-smart agriculture and forestry.
RABBIT a Leap Forward for Campus Collaboration and Industry Engagement
The Office of Business Engagement (OBE) and Data Science Institute (DSI) have launched a new tool that helps university faculty and staff discover relevant research, shared interests and potential collaborators across campus.
Chen Receives Vilas Award
DSI Affiliate Kaiping Chen was honored with a UW–Madison Vilas Faculty Investigator Award. Her work focuses on computational social science.
Machine Learning Models Identify Promising Polymers for Tech Innovation
DSI Affiliate Ying Li led a UW-Madison research team that trained machine-learning models to identify high-performing polymers for film capacitors.