You are invited to the first lecture of the 2025 Spring Colloquium Series by the AI Research Institute.
The registration link : https://forms.gle/E42Y6HCXzA8WSUS39
(Offline participants will receive a Nine Ounce Burger coupon.)
The registration deadline: March 31 (Mon).
-Only selected participants will receive a notification email after the deadline, and only those who receive the email will be able to attend the offline lecture.
-If you have registered but are unable to attend for unavoidable reasons, please inform us in advance to allow others the opportunity to join.
- speaker: Professor Moon Ha-eun (School of Transdisciplinary Innovations/Department of Statistics, College of Natural Sciences).
- date and time: Thursday, April 3, 2025, at 4:00 PM.
- venue: the lecture room on the 1st Floor of Haedong Advanced Engineering Hall, Building 303.
- Online live streaming will be available on YouTube at https://www.youtube.com/@AI-xi1ci and on Zoom at https://us02web.zoom.us/j/85923628089?pwd=vi2qGZEWFgrDmiErimJm9GWRrOReVk.1 with Meeting ID 859 2362 8089 and Password 529164.
Lecture Title: "Measures of Relevance for Summarizing Big Data"
As data production has surged exponentially in recent years, not only have the types of data multiplied, but the internal relational structures have also grown more complex and diverse. These changes demand a flexible framework to understand and analyze data, with vast amounts of data serving as a foundation for enabling such methodological flexibility. Association measures are tools for quantitatively describing relationships between two variables in data, and they have continuously evolved over the past two decades alongside changes in data environments. In this lecture, we will explore the development of association measures and discuss their application across various types of data.
Professor Moon Ha-eun conducts diverse research in statistics, including independence measures, variable selection, multiple testing, and genomic data analysis.