Outreach and Engagement
The Department of Statistics is an active community that engages students and lifetime learners at UConn and beyond.
We contribute to the field of statistics by hosting events and participating in professional organizations. We also share our know-how with UConn researchers in other fields – and enhance the University’s research profile in the process.
Current Initiatives
Education and Training
We offer general education and research courses that serve students in virtually all majors at UConn. Members of the Department also participate in UConn programs that benefit Connecticut students and educators.
- Our UConn Pre-College Summer course on data science exposes incoming first-year students to the essential components and computing skills needed for data science.
- We train UConn Early College Experience instructors, holding certification workshops for participating high school teachers each summer.
Consulting
We provide services to researchers and employees at UConn to help them better understand statistical concepts and apply them to their work. For example, our faculty and graduate students contribute to:
- Statistical Consulting Services, which advises researchers from other disciplines about the collection and analysis of data.
- EnergyStats, a collaboration with UConn's Utility Operations & Energy Management. Using statistical modeling and visualization of UConn's energy consumption data (either real-time high-frequency or monthly), EnergyStats can detect anomalous consumption behavior and to predict future usage.
Community Engagement
We maintain relationships with professional organizations and area companies and institutions. These connections open doors for our students and help us contribute to our field. Examples include:
- We are an active member of the American Statistical Association (ASA) Connecticut chapter and a founding member of the New England Statistical Society’s annual symposium.
- We host the Pfizer Colloquium each year in partnership with the ASA and Pfizer Inc.
Events
The Department of Statistics regularly sponsors and hosts conferences, colloquia, lectures, and seminar series where scholars of all levels can learn and collaborate. Many of these events are local, affordable, and accessible, allowing students to participate and in some cases present their own research. Examples include:
Recent Events
Statistics Colloquium: Hajime Uno, Associate Professor, Harvard University, Survival Data Analysis Using Average Hazard with Survival Weight
Statistics Colloquium: Survival Data Analysis Using Average Hazard with Survival Weight Presented by: Hajime Uno, Associate Professor, Department of Biostatistics, Harvard T.H. Chan School of Public Health Date: Wednesday, September 17, 2025, 4:00 PM, AUST 434 Meeting Link: Link Coffee will be served at 3:30 in the Noether Lounge (AUST 326) Abstract: Hazard ratios from […]
[Read More]Statistics Colloquium: Zhe Zhu, Associate Professor, UConn, Connecting the dots: a statistical framework for land change science using dense satellite time series
Statistics Colloquium: Connecting the dots: a statistical framework for land change science using dense satellite time series Presented by: Zhe Zhu, Associate Professor of Remote Sensing, Department of Natural Resources & the Environment, University of Connecticut Date: Friday, September 5, 2025, 10:00 AM, AUST 247 Meeting Link: Link Coffee will be available at 9:30 in […]
[Read More]DahShu 2025 will be held in UConn during October 16-18, 2025
DahShu 2025 will be held in UConn during October 16-18, 2025! The 2025 DahShu Data Science Symposium at the University of Connecticut promises to be an exceptional event for anyone interested in the forefront of AI, data science, and their applications in biomedical research and healthcare. This two-day symposium on October 16-17, 2025—with short courses […]
[Read More]Professor Xingche Guo awarded FY25 Research Excellence Program Award from UConn for his proposal entitled ‘Robust Causal Inference for Functional Responses via Double Machine Learning’
Professor Xingche Guo awarded FY25 Research Excellence Program Award from UConn for his proposal entitled ‘Robust Causal Inference for Functional Responses via Double Machine Learning’
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