BEGIN:VCALENDAR VERSION:2.0 PRODID:-//wp-events-plugin.com//7.2.3.1//EN TZID:America/Los_Angeles X-WR-TIMEZONE:America/Los_Angeles BEGIN:VEVENT UID:304@escience.washington.edu DTSTART;TZID=America/Los_Angeles:20260205T163000 DTEND;TZID=America/Los_Angeles:20260205T172000 DTSTAMP:20260127T220655Z URL:https://escience.washington.edu/events/uw-data-science-seminar-teanna- barrett/ SUMMARY:UW Data Science Seminar: Teanna Barrett DESCRIPTION:Please join us for a UW Data Science Seminar featuring UW Compu ter Science PhD student Teanna Barrett on Thursday\, February 5th  from 4 :30 to 5:20 p.m. PT. The seminar will be held in IEB G109.\n\n \;\n"Mo ral Missions: Surfacing and Developing the Moral Decision-Making Processes of Responsible Data Scientists"\nAbstract:\n\nData ethics and fairness re search has generated a plethora of theories\, techniques\, and tools to he lp professional data scientists operationalize responsible data science. Y et\, professional data scientists still report difficulty with operational izing data ethics in their workflow. Through a review of my previous work on responsible data science intervention tools and African data ethics\, I identify the missing piece to operationalizing data ethics: centering pra ctitioners’ moral missions. I conceptualize moral missions as the journe ys responsible data scientists take to pragmatically transform their perso nal values into technical actions. In sharing my theoretical grounding and initial interview study insights\, I surface decision-making processes pr actitioners use to define\, actualize\, and refine their moral missions. I propose that centering the varied lived experiences of responsible data s cientists will inform pragmatic and subsequently more effective responsibl e data science tools and systems.\n\n \;\n\nSpeaker Bio: Teanna Barret t (she/her) is a second year PhD student at the Paul G. Allen School of Co mputer Science &\; Engineering at the University of Washington. She ear ned her B.S. in Computer Science with a minor in Philosophy at Howard Univ ersity. She is a 2025-2026 Herbold Fellow\, 2024 - 2027 ARCS Fellow\, and 2024-2025 College of Engineering Dean's Fellow. She is co-advised by Amy Z hang and Leilani Battle. Her current research characterizes and design too ls to develop data science praxis. In other words\, she aims to understand how data scientists form social analyses to motivate their work and trans late these motivations into technical practices (and vice versa). Towards this inquiry\, Barrett engages with Black thought\, data ethics\, and huma n-centered design theories and techniques.\n\n \;\n\n\nThe 2025-2026 s eminars will be held in person\, and are free and open to the public.\n\n ATTACH;FMTTYPE=image/jpeg:https://escience.washington.edu/wp-content/uploa ds/2026/01/Professional_Headshot-scaled.png END:VEVENT BEGIN:VTIMEZONE TZID:America/Los_Angeles X-LIC-LOCATION:America/Los_Angeles BEGIN:STANDARD DTSTART:20251102T010000 TZOFFSETFROM:-0700 TZOFFSETTO:-0800 TZNAME:PST END:STANDARD END:VTIMEZONE END:VCALENDAR