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  • Seminar Series: Dr. Scott Powers

    Scott Powers is an assistant professor of sport analytics and statistics at Rice University, where he has served since 2023. He earned his PhD in statistics in 2017 before working […]

  • Purposeful Personalized Learning with Generative AI

    Organized By the Center for Teaching Excellence. This hands-on workshop guides instructors through the principles of personalized learning, emphasizing intentional design and learner agency. Participants will explore strategies for engaging […]

  • Seminar Series: Dr. Wei Peng

    Wei Peng (Ph.D. in Communication, University of Southern California, 2006) is a Professor in the Department of Media and Information, Michigan State University. Her recent projects focus on using conversational […]

  • Digital Twin Lab Seminar: UAV Threat Detection

    This talk will delve into the use case of synthetic data for a developing need in the defense sector: detection of drones, also known as Unmanned Aerial Vehicles (UAVs). 

  • Foundations & Text Reprocessing Workshop

    Participants will understand what text mining is and why it’s valuable for social science research. They’ll learn how to prepare text data for analysis and perform basic text cleaning, learning […]

  • GSPDT – Concept to Conversation Session: AI

    Organized by the Center for Teaching Excellence. This conversation-focused session invites participants to explore their experiences and questions about using AI in teaching and learning. After a brief overview of […]

  • Exploratory Analysis & Visualization Workshop

    Participants will learn techniques for exploring and describing textual datasets, identifying patterns, and communicating findings through visualization. It will be one hour of theory and explanation of the concepts, and […]

  • Texas NLP Symposium

    Texas NLP Symposium is a one-day workshop featuring invited talks, oral presentations, and poster sessions. Our goal is to bring together NLP researchers across Texas to share and discuss ongoing […]

  • Supervised Text Classification Workshop

    Participants will learn how to train models to categorize texts based on labeled examples and understand evaluation metrics. It will be one hour of theory and explanation of the concepts, […]

  • Topic Modeling & Discovery Workshop

    Participants will learn how to identify latent themes in large text collections using unsupervised machine learning and how to interpret and validate these findings. It will be one hour of […]