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X-WR-CALNAME:The National Consortium for Data Science
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X-WR-CALDESC:Events for The National Consortium for Data Science
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DTSTART;TZID=America/New_York:20260623T120000
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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. \n  \nKey Takeaways: \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\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
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DTSTART;TZID=America/New_York:20260819T120000
DTEND;TZID=America/New_York:20260819T130000
DTSTAMP:20260815T193020
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LAST-MODIFIED:20260814T155113Z
UID:10000108-1787140800-1787144400@datascienceconsortium.org
SUMMARY:DataBytes: From Body Signals to Smart Environments - Embedded AI and Sensing for Wellness and Health
DESCRIPTION:Wearable technology\, AI\, and smart devices are rapidly reshaping healthcare\, wellness\, and fitness. Join Dr. Jingping Nie\, Assistant Professor at the University of North Carolina at Chapel Hill and Director of the NIcE X Lab\, as she explores how accessible wearable sensors\, AI-powered analytics\, and everyday smart devices are enabling more personalized\, preventive\, and proactive care. \nDrawing on her award-winning research\, Dr. Nie will discuss next-generation wearable sensing platforms\, advances in biosignal and emotion analysis\, and how smart homes\, mobile devices\, and wearables can be repurposed to monitor well-being\, assess mental health\, and support AI-enabled healthcare. \nKey Takeaways \n\nEmerging wearable technologies for continuous\, privacy-aware health monitoring\nAI-driven analysis of physiological and speech signals for health and emotion insights\nNew applications of smart homes\, wearables\, and mobile devices in healthcare\nOpportunities to advance personalized\, preventive\, and clinician-supported care through AI systems\n\nRegister for the Event
URL:https://datascienceconsortium.org/event/databytes-aug-2026/
LOCATION:via Zoom
CATEGORIES:DataBytes
ATTACH;FMTTYPE=image/png:https://datascienceconsortium.org/wp-content/uploads/DataBytes_NCDS_Aug_2026.png
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