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: Himchan Jeong, Simon Fraser University

Integration of Traditional and Telematics Data for Efficient Insurance Claims Prediction Presented by Himchan Jeong, Simon Fraser University Thursday, February 21 2024 4:00 PM-5:00 PM ET AUST 163 Webex Meeting Link Coffee will be served at 3:30 pm in the Noether Lounge (AUST 326) While driver telematics has gained attention for risk classification in auto […]

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Statistics Colloquium: Qing Guo, Virginia Tech

Variational Mutual Information Estimation: from Data Collection to Large Vision-Language Models Presented by Qing Guo, Virginia Tech Tuesday, January 30 2024 3:30 PM-4:30 PM ET AUST 105 Webex Meeting Link Coffee will be served at 3:00 pm in the Noether Lounge (AUST 326) In today’s digital landscape, the deluge of data across various domains can […]

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Statistics Colloquium: Wenrui Li, University of Pennsylvania

Robust Statistical Methods for Noisy Complex Network Data Presented by Wenrui Li, University of Pennsylvania Thursday, February 1 2024 3:30 PM-4:30 PM ET AUST 105 Webex Meeting Link Coffee will be served at 3:00 pm in the Noether Lounge (AUST 326) In recent years there has been an explosion of network data from seemingly all […]

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