BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//The National Consortium for Data Science - ECPv6.5.0.1//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-ORIGINAL-URL:https://datascienceconsortium.org
X-WR-CALDESC:Events for The National Consortium for Data Science
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:America/New_York
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20260308T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20261101T060000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20260623T120000
DTEND;TZID=America/New_York:20260623T130000
DTSTAMP:20260617T105154
CREATED:20260617T142841Z
LAST-MODIFIED:20260617T144517Z
UID:10000107-1782216000-1782219600@datascienceconsortium.org
SUMMARY:DataBytes: AI-Powered Development for Research Cyberinfrastructure
DESCRIPTION:AI coding assistants are reshaping how research software is built and maintained\, but most guidance targets industry\, not research cyberinfrastructure (CI).  \nDuring this webinar\, Komal Thareja\, a Senior Research Software Engineer at RENCI at the University of North Carolina at Chapel Hill\, will fill that gap with hands-on demonstrations tailored to CI roles\, using real examples from NSF Major Facility projects. Topics include scaffolding scientific workflows\, generating APIs from OpenAPI specs\, building publication dashboards\, and creating presentation materials. Designed for PIs/managers\, developers\, and students\, the session highlights workflows you can adopt immediately\, common AI failure modes\, prompt techniques that improve results\, and security considerations for using AI with research code. No prior AI experience required. \nKey Takeaways for attendees: \n\nRole-specific AI workflows for research CI\, drawn from real NSF Major Facility projects\nPractical guidance for PIs/managers\, developers\, and students\nWhat AI gets wrong in research software—and how to recover\nPrompt engineering techniques that improve scientific software outcomes\nSecurity best practices for using AI with research code and infrastructure\n\n  \nRegister for the Event
URL:https://datascienceconsortium.org/event/databytes-june-2026/
LOCATION:via Zoom
CATEGORIES:DataBytes
ATTACH;FMTTYPE=image/png:https://datascienceconsortium.org/wp-content/uploads/DataBytes-June-2026.png
END:VEVENT
END:VCALENDAR