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.

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:

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: Lin Wang, Assistant Professor, Purdue University, Influence-Guided Subsampling under Measurement Constraints

Title: Influence-Guided Subsampling under Measurement Constraints Presented by Lin Wang, Assistant Professor, Department of Statistics, Purdue University DATE:  Wednesday, October 15, 2025, 3:30 PM, AUST 434 Webex link: Link  Coffee will be available at 3:00 in the Noether Lounge (AUST 326) Abstract: Collecting labels for every point in a large dataset is often impractical due […]

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Statistical Colloquium: Spencer Wadsworth, Postdoctoral Scholar, University of Connecticut, Constructing a Disease Outbreak Forecast Ensemble via Bayesian Gibbs Posterior Stacking

Title: Constructing a Disease Outbreak Forecast Ensemble via Bayesian Gibbs Posterior Stacking Presented by Spencer Wadsworth, Postdoctoral Scholar, University of Connecticut DATE:  Wednesday, October 8, 2025, 3:30 PM, AUST 434 Webex link: Link  Coffee will be available at 3:00 in the Noether Lounge (AUST 326) Abstract: In collaborative forecast projects, the combining of multiple probabilistic […]

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Statistics Colloquim: Jamie Bowater, Research Fellow, University of Exeter, Analogy-based inference: a universal school of statistical inference

Statistics Colloquium: Analogy-based inference: a universal school of statistical inference Presented by Jamie Bowater, Research Fellow, Department of Public Health and Sports Sciences, University of Exeter, England DATE:  Friday, October 3, 2025, 10:00 AM.  Virtual Presentation Webex Link: Link Abstract: Standard statistical theory has arguably proved to be unsuitable as a basis for constructing a […]

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