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
Interdisciplinary Seminar: Kristen Olson, University of Nebraska-Lincoln
Recent Lessons on Mixing Mail and Web Data Collection Modes in Household Surveys Presented by Kristen Olson, University of Nebraska-Lincoln Friday, Dec 6th 11-12pm online Webex Meeting Link Meeting # 2863 522 0260 Password: RMMESTAT Abstract: Survey designs are increasingly incorporating self-administered modes – namely mail and web – to counter decreasing response rates and […]
[Read More]Dongyuan Song, Asst. Professor, Department of Genetics and Genome Sciences, University of Connecticut School of Medicine
Synthetic control removes spurious discoveries from double dipping in scRNA-seq post-clustering analyses Presented by Dongyuan Song, Asst. Professor, Department of Genetics and Genome Sciences, University of Connecticut School of Medicine Wednesday, December 4, 2024, 4:00 PM, AUST 202 Coffee will be served at 3:30 in the Noether Lounge (AUST 326) Webex Meeting Link Abstract: In […]
[Read More]Interdisciplinary Seminar: Dr.Pascal R. Deboeck, University of Utah
Effects across time to modeling states of a system: a dynamical systems perspective on modeling social science data Presented by Dr.Pascal R. Deboeck, University of Utah Friday, Nov.15, 2024, 11:00am, ET Join by WebEX: https://tinyurl.com/rmme-Deboeck Meeting # 2861 631 2684 Password: RMMESTAT Join by video system: Dial 28616312684@uconn-cmr.webex.com You can also dial 173.243.2.68 + enter […]
[Read More]Statistics Colloquium: Tumulesh Solanky, University of New Orleans, Distinguished Alumni Award
Recipient of the 2024 UConn Statistics Department Distinguished Alumnus Award Some issues related to implementation and generalization of the partition problem formulations for normal populations Presented by Tumulesh Solanky, Chair and Professor, Department of Mathematics, The University of Louisiana System Foundation and Michael and Judith Russel Professor in Data Science/Computational Sciences, University of New Orleans […]
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