How are Large Language Models revolutionizing transportation research methodologies? From accelerating literature reviews to processing massive unstructured datasets, AI is becoming an indispensable research assistant for transportation professionals.

In this engaging discussion, Dr. Lev Khazanovich will explore how LLMs are transforming the research landscape - from enhancing data analysis workflows to uncovering patterns in complex transportation data that traditional methods might miss. Learn about practical applications, including how AI assists with methodology development, hypothesis testing, and the synthesis of qualitative data like public feedback and policy documents.

Dr. Khazanovich shares insights on the practical learning curve for researchers adopting these tools, where LLMs excel as research assistants, and where human expertise remains irreplaceable. He'll also address key challenges including data quality, validation methods, and the skills needed for the next generation of AI-enabled transportation researchers.

Perfect for transportation researchers, graduate students, data scientists, and anyone interested in how AI is augmenting research capacity and transforming scholarly workflows in transportation studies.

50-minute session including moderated interview and live Q&A

This event is free and open to the public. Register now to receive the Zoom link and calendar invitation.

Register: https://morganstate.zoom.us/webinar/register/WN_TSbpcP9sQl6jsP3tQDBeUQ