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UID:74@escience.washington.edu
DTSTART;TZID=America/Los_Angeles:20240229T163000
DTEND;TZID=America/Los_Angeles:20240229T172000
DTSTAMP:20240207T172224Z
URL:https://escience.washington.edu/events/uwdss-ferraioli-2/
SUMMARY:UW Data Science Seminar: Julia Ferraioli
DESCRIPTION:\n\nPlease 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 F
 erraioli\, an AI/ML Open Source Strategist with Amazon Web Services (AWS).
 \n\nThe seminar will be held in the Electrical &amp\; Computer Engineering
  Building (ECE)\, Room 105\n\n\n&nbsp\;\n"Data-driven open source projects
 : preventing random acts of metrics"\nAbstract: People often approach gain
 ing 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 in
 sights yielded by their analyses insufficient to make informed decisions. 
 We will look at common missteps in using data in open source and examine h
 ow we can use and contextualize data appropriately to bring in and sustain
  contributors.\nBio: Julia Ferraioli is an open source engineer\, scientis
 t\, and analyst with a decade of experience in launching\, managing\, and 
 optimizing open source projects at scale. She currently works at AWS as th
 e AI/ML Open Source Strategist\, providing guidance and expertise in the o
 pen source machine learning field. Additionally\, Julia is a co-founder of
  Open Source Stories\, contributor to LeadDev\, and open source sustainabi
 lity researcher. Her background includes research in machine learning\, ro
 botics\, HCI\, and accessibility. Julia finds energy in developing creativ
 e demos\, creating beautiful documents\, and rainbow sprinkles. She’s al
 so a fierce supporter of LaTeX\, the Oxford comma\, and small pull request
 s.\n\n\n\nThe UW Data Science Seminar is an annual lecture series at the 
 University of Washington that hosts scholars working across applied areas 
 of data science\, such as the sciences\, engineering\, humanities and arts
  along with methodological areas in data science\, such as computer scienc
 e\, applied math and statistics. Our presenters come from all domain field
 s and include occasional external speakers from regional partners\, govern
 mental agencies and industry.\nThe 2023-2024 seminars will be held in pers
 on\, and are free and open to the public.
LOCATION:Electrical and Computer Engineering Building\, Room 105\, 185 W St
 evens Way NE\, Seattle\, WA\, 98195\, United States
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=185 W Stevens Way NE\, Seat
 tle\, WA\, 98195\, United States;X-APPLE-RADIUS=100;X-TITLE=Electrical and
  Computer Engineering Building\, Room 105:geo:0,0
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