Generative AI tools are a game-changer for complex data science projects. They can accelerate a project from 0 to 80% complete in a remarkably short amount of time, but the final 20% still demands the skills of a human data scientist to create a robust, nuanced, and context-specific solution. In this talk, I will walk through several projects I have completed with the help of large language models. With each project, I will show you how to construct tasks for AI and which components require human expertise. My goal is to help you think through the role of the human in data science work and the AI skills you should be developing while you are here at Bucknell and how these skills will prepare you to adapt and stay ahead in the rapidly evolving world after you leave Bucknell.

Music Student and Faculty Recital

Gina Siepel: To Understand a Tree encapsulates 6 years in communion with a single tree. Bridging art, ecology, and queer experience, the project approaches wood as a living being and explores interconnection, habitat, and environmental responsibility. Organized by the Museum for Art in Wood and curated by Jennifer-Navva Milliken.

Artist Marie Cochran reimagines the novel "Those We Thought We Knew," by David Joy that explores themes of generational trauma, and betrayal through the story of a young Black artist who returns to her ancestral home. This exhibition is presented in collaboration with Bucknell's Critical Black Studies program.