Showcasing Innovative Computing Research

Our KSU Supercomputing Spotlight Series helps showcase groundbreaking research and its applications in our communities. We have looked into Bayesian Statistics, a powerful framework for statistical inference that integrates prior knowledge into the analysis and agendamelding and its impact during the COVID-19 pandemic. Stay up to date and find out how to get involved with upcoming Spotlight Series!

  • Applications of Genomic Data to Study the Ecology and Evolution of Amphibians: Research and Impact.  11AM - 12PM, Monday, March 24, 2025

    Appalachia is the global center of biodiversity for salamanders. However, these amphibians are notoriously difficult to identify with morphological characters and have gigantic genomes—two large challenges to biologists tasked with identifying and classifying their diversity. This presentation is designed for a non-technical audience and includes a series of case studies demonstrating how the Pierson Lab @ KSU uses genomic data to better study the ecology, evolution, and conservation of these amphibians.

    to attend.

    Applications of Genomic Data to Study the Ecology and Evolution of Amphibians: Implementation and Demonstration.  11AM - 12PM, Monday, March 31, 2025


    This presentation is designed for a more technical audience and offers a glimpse into some of the approaches that the Pierson Lab uses to analyze genomic data on the KSU HPC. These methods include brief introductions to the handling, processing, and assembly of large genomic datasets and methods for phylogenomic and population genomic inference.

    to attend.

     

  • Bayesian Statistics is a useful framework for statistical inference that has found widespread application in various fields, including social science and business research. Unlike traditional frequentist statistics, Bayesian statistics incorporates prior knowledge or beliefs into the analysis, allowing for more flexible and nuanced modeling. This presentation introduces Bayesian Statistics and its application in social science and business research to a non-technical audience. 

    Bayesian Statistics is a useful framework for statistical inference that has found widespread application in various fields, including social science and business research. Unlike traditional frequentist statistics, Bayesian statistics incorporates prior knowledge or beliefs into the analysis, allowing for more flexible and nuanced modeling. This presentation introduces Bayesian Statistics and its application in social science and business research.

  • March 17, 12 PM - 1 PM on Teams.  This presentation provides a brief history of the agenda-setting agendamelding lines of research and explores the relationship between the individual, social media, and traditional media agendas during the COVID-19 pandemic.

    March 24 link, 12 PM - 1 PM on Teams. This presentation recaps the steps that the authors took to collect 224 million tweets about the pandemic and how the HPC was utilized to parse the data, analyze and classify the text of the tweets, and performs analyses and time series to test their hypothesis.