Please join us for a UW Data Science Seminar on Thursday, February 29th from 4:30 to 5:20 p.m. PST. The seminar will feature Julia Ferraioli, an AI/ML Open Source Strategist with Amazon Web Services (AWS).
The seminar will be held in the Electrical & Computer Engineering Building (ECE), Room 105
“Data-driven open source projects: preventing random acts of metrics”
Abstract: People often approach gaining adoption of their open source projects as more of an art than science. When maintainers attempt to use a data-driven approach, they find the insights yielded by their analyses insufficient to make informed decisions. We will look at common missteps in using data in open source and examine how we can use and contextualize data appropriately to bring in and sustain contributors.
Bio: Julia Ferraioli is an open source engineer, scientist, and analyst with a decade of experience in launching, managing, and optimizing open source projects at scale. She currently works at AWS as the AI/ML Open Source Strategist, providing guidance and expertise in the open source machine learning field. Additionally, Julia is a co-founder of Open Source Stories, contributor to LeadDev, and open source sustainability researcher. Her background includes research in machine learning, robotics, HCI, and accessibility. Julia finds energy in developing creative demos, creating beautiful documents, and rainbow sprinkles. She’s also a fierce supporter of LaTeX, the Oxford comma, and small pull requests.
The 2023-2024 seminars will be held in person, and are free and open to the public.