Join us in Science & Engineering Hall, 2600 for the latest installment of the GW Coders' Lunch and Learn series. Get an overview of LAISER, a research and data science project that aims to leverage AI to better translate across the "languages" used to describe skills by labor market stakeholders, such as colleges and universities (transcripts, syllabi, and course descriptions), individuals (resumes), and employers (job descriptions and hiring ads).

All sessions are free to GW students, faculty, staff, and alumni. GW has an institutional commitment to ensuring that all of our programs and events are accessible for all individuals. If you require any accommodations to participate in this event, please contact libraryevents@gwu.edu at least 72 business hours (3 business days) prior to the event.

In-person attendance of this workshop is open to anyone whose GWorld allows them to tap into buildings on GW's campus. If you do not have access, please attend online.