• TIDAL 2026 Hackathon

    The Tethered Informatics and Data Analytics Lab (TIDAL) is hosting their annual hackathon! TIDAL a student organization dedicated to advancing AI and machine learning education through hands-on experiences, collaborative projects, and community engagement.

  • Seminar Series: Dr. Thomas Tucker

    Thomas Tucker is an artist, researcher, and Associate Professor of Creative Technologies in the School of Visual Arts at Virginia Tech, where he also serves as a Senior Fellow at the Institute for Creativity, Arts, and Technology. His work explores immersive XR environments, animatronics, and multisensory systems that merge real-time computation with physical and performative experience. Through […]

  • R Workshop for Data Analysis

    Master the statistical tools researchers actually use! This two-day workshop will start with the fundamentals of R and move on to advanced analytics and modeling. Both graduate and undergraduate students are welcome to attend, and NO experience is needed for day one! Free food will be provided, and students are encouraged to bring their laptops. […]

  • Leveraging Generative AI and MATLAB in Engineering Education

    GenAI Literacy Seminar: Presented by Armando Garcia, Senior Academic Engineer at MathWorks This session provides an overview of best practices and key use cases for applying Generative AI in engineering education. We will address academic integrity considerations and demonstrate practical examples of how these technologies can enhance teaching and learning. The session will explore the […]

  • Navigating Creative Commons Licensing in the Age of AI

    Organized by the Center for Teaching Excellence. This workshop introduces instructors to open licensing through Creative Commons and details the six licenses and their permissions that allow use, reuse, and revision without violating copyright laws. Participants will also see how these licenses allow material with Creative Commons licenses to be ingested into AI tools to […]

  • 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 in professional baseball for six years—five with the Los Angeles Dodgers, where he was analytics director during their 2020 World Series championship season, and one […]

  • 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 students as co-designers in their learning journeys and discover how generative AI tools, especially those available through Texas A&M University can support differentiated instruction and […]

  • 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 agents or chatbots, digital games, and mobile apps for health promotion, health education, and social change. Location: Blocker 220 and Zoom Zoom ID: 97496884861Passcode: 923446 […]

  • 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 about topics such as: Text mining applications in social sciences, text mining vs. traditional qualitative methods, the text mining pipeline, corpus, document, token, document-term matrix, […]

  • 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 emerging practices and campus considerations, participants will engage in open discussion to share examples, concerns, and creative approaches to integrating AI tools in thoughtful, ethical […]