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:284@escience.washington.edu
DTSTART;TZID=America/Los_Angeles:20251014T163000
DTEND;TZID=America/Los_Angeles:20251014T172000
DTSTAMP:20251013T223628Z
URL:https://escience.washington.edu/events/uw-data-science-seminar-elle-ob
 rien/
SUMMARY:UW Data Science Seminar: Elle O'Brien
DESCRIPTION:Please join us for a UW Data Science Seminar featuring Universi
 ty of Michigan School of Information Lecturer and Research Investigator El
 le O'Brien on Tuesday\, October 14th from 4:30 to 5:20 p.m. PT. The semina
 r will be held in IEB G109.\n"The Future of Scientific Code in the Era of 
 Generative AI"\nAbstract: This talk will present findings from three empir
 ical studies involving interviews\, user log reviews and surveys that exam
 ine how scientists use generative AI coding tools. We find that scientists
  overwhelmingly use general-purpose chat tools like ChatGPT over dedicated
  developer tools\, which may have consequences for the cognitive load invo
 lved in reviewing generated code. We also find that most scientists work i
 n multiple programming languages\, and use generative AI tools to navigate
  less-familiar languages and libraries. Finally\, we observe that perceive
 d productivity gains with AI support are inversely related to both program
 ming experience and use of software development practices like testing and
  version control. Given that scientific code is already undertested and sc
 ientists are undertrained as developers\, increased reliance on AI-generat
 ed code may strain existing code quality control mechanisms in science. We
  will discuss implications of these findings for research integrity broadl
 y.\n Biography:  Elle O'Brien\, Ph.D. is lecturer and research investigato
 r at the University of Michigan School of Information\, where she teaches 
 graduate courses about statistics and data science. Her research program a
 sks how scientists who program use large language models as coding assista
 nts and how they validate generated code. Previously\, she studied auditor
 y neuroscience using mathematical models of sensory perception at the Univ
 ersity of Washington and worked as a developer advocate for open-source to
 ols like Data Version Control.\nThis seminar will also be available at thi
 s time on Zoom if you cannot attend in person.\nThe 2025-2026 seminars wil
 l be held in person\, and are free and open to the public.
ATTACH;FMTTYPE=image/jpeg:https://escience.washington.edu/wp-content/uploa
 ds/2025/10/ElleHeadshot.jpg
END:VEVENT
BEGIN:VTIMEZONE
TZID:America/Los_Angeles
X-LIC-LOCATION:America/Los_Angeles
BEGIN:DAYLIGHT
DTSTART:20250309T030000
TZOFFSETFROM:-0800
TZOFFSETTO:-0700
TZNAME:PDT
END:DAYLIGHT
END:VTIMEZONE
END:VCALENDAR