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
Sudipto Banerjee, UCLA, Recipient of the 2024 UConn Statistics Department Distinguished Alumnus Award
Presented by Sudipto Banerjee, Senior Associate Dean for Academic Programs, UCLA Fielding School of Public Health, University of California, Los Angeles Recipient of the 2024 UConn Statistics Department Distinguished Alumnus Award Assessing Spatial Disparities in Disease Maps Wednesday, April 23, 2025, 4:00 PM, AUST 202 Webex Meeting Link Coffee will be served at 3:30 in […]
[Read More]Makuch Distinguished Lecture: Hongtu Zhu, UNC, Computation and Resource Efficient Genome-Wide Association Analysis for Large-Scale Imaging Studies
Presented by Hongtu Zhu, Kenan Distinguished Professor of Biostatistics, Statistics, Radiology, Computer Science & Genetics, Department of Biostatistics, University of North Carolina, Gillings School of Global Public Health AUST 202, Wednesday, April 9, 2025, 4:00 PM-5:00 PM Webex Meeting Link Abstract: Imaging genetics links genetic variations to brain structures and functions, but the computational challenges […]
[Read More]Statistical Colloquium: A systematic design construction and analysis for cost-efficient order-of-addition experiment, Frederick Kin Hing Phoa, Institute of Statistical Science, Taiwan
Presented by Frederick Kin Hing Phoa, Research Fellow, Institute of Statistical Science, Academia Sinica, Taipei, Taiwan Joint work with Jing-Wen Huang, Institute of Statistics, National Tsing Hua University, Hsinchu, Taiwan Friday, April 11, 2025, 10:00 AM, AUST 340 Coffee will be served at 9:30 in the Noether Lounge (AUST 326) Webex Meeting Link Abstract: In […]
[Read More]Statistics Colloquium: Nonparametric Neighborhood Selection in Graphical Models, Yuedong Wang, Professor, University of California, Santa Barbara
Presented by Yuedong Wang, Professor, Department of Statistics & Applied Probability, University of California, Santa Barbara Wednesday, April 2, 2025, 4:00 PM, AUST 202 Coffee will be served at 3:30 in the Noether Lounge (AUST 326) Webex Meeting Link Abstract: The neighborhood selection method directly explores the conditional dependence structure and has been widely used […]
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