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X-ORIGINAL-URL:https://datascienceconsortium.org
X-WR-CALDESC:Events for The National Consortium for Data Science
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DTSTART:20260308T070000
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DTSTART:20261101T060000
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20260226T170000
DTEND;TZID=America/New_York:20260226T180000
DTSTAMP:20260619T153050
CREATED:20260212T231934Z
LAST-MODIFIED:20260213T160742Z
UID:10000102-1772125200-1772128800@datascienceconsortium.org
SUMMARY:Spring 2026 NCDS Virtual Career Panel
DESCRIPTION:Join panelists working in sports analytics\, growth equity\, and data and AI security as we explore the paths that lead to a career in data science. The journey looks different for everyone\, but a dream job is the destination. We’ll discuss a few examples of what it takes to get there. We’ll also dive into the hard and soft skills that turn a top candidate into the perfect candidate for a role in this competitive field. \nPanelists: \n\nLeena Dave – Truist | Senior Vice President\, Data Governance Metrics and Reporting\nPeter Engler – Seattle Seahawks | Seattle Seahawks Football Research Assistant\nNamrata Jumani – Radian Capital | Associate\nZixin Nie – RTI International | Data Privacy Specialist\n\nRegister for the Event
URL:https://datascienceconsortium.org/event/career-spring-2026/
LOCATION:via Zoom
CATEGORIES:Career Panel,Careers in Data Science,Networking,Professional Development,Upskilling
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20260422T120000
DTEND;TZID=America/New_York:20260422T130000
DTSTAMP:20260619T153050
CREATED:20260409T142900Z
LAST-MODIFIED:20260409T144112Z
UID:10000103-1776859200-1776862800@datascienceconsortium.org
SUMMARY:DataBytes: An Agentic Operating System for Toxicology
DESCRIPTION:Chemical safety assessment today is slow\, costly\, and fragmented—held back by siloed data streams and workflows that haven’t kept pace with scientific complexity. While many in the field focus on automating report generation\, this webinar introduces a different paradigm: an agentic operating system where AI agents collaborate with toxicologists rather than replace them. \nWhat does “agentic” truly mean beyond the buzz? Through live demonstrations\, Thomas Luechtefeld\, PhD\, CEO and Founder of Insilica\, will show how autonomous systems can reason across heterogeneous scientific evidence\, surface insights before they’re requested\, and accumulate institutional knowledge over time. He’ll explore the architectural and epistemic shift from treating AI as a prediction tool to designing AI as infrastructure—an approach that becomes essential in domains where accuracy directly impacts regulatory decisions and public health. \nAttendees will learn: \n\nWhy autonomous agents require fundamentally different architecture than traditional machine‑learning pipelines\nHow AI systems can retain and build on organizational knowledge instead of starting from scratch\nWhat “production‑ready” looks like when outputs must withstand scientific and regulatory scrutiny\nA live demonstration of an AI agent reasoning through a toxicology question in real time\nThe real limitations of current agent architectures—and where the technology still falls short\n\nRegister for the Event
URL:https://datascienceconsortium.org/event/databytes-apr-2026/
LOCATION:via Zoom
CATEGORIES:DataBytes
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20260514T150000
DTEND;TZID=America/New_York:20260514T170000
DTSTAMP:20260619T153050
CREATED:20260410T171429Z
LAST-MODIFIED:20260410T175456Z
UID:10000104-1778770800-1778778000@datascienceconsortium.org
SUMMARY:Foundations of AI: Intro to Generative AI for Coders - Accelerated
DESCRIPTION:This will be an accelerated version of our popular “Intro to Generative AI” course\, intended to give an overview of what Generative AI is\, how it works from a high level\, and how to use basic technical tools to leverage Generative AI. \nThose who take this course will have the basic knowledge needed to use LLMs to create useful tools\, and will have the understanding behind the technology to improve their prompt engineering skills as well. \nThis course is ideal for people who are interested in the Advanced Generative AI for Coders and Deep Dive into Retrieval Augmented Generation courses but have not taken classes in the technical basics of generative AI. \nPrerequisites: Intermediate Python\, some familiarity with AI/Machine Learning is helpful but not required. \nRegister for the Event \nScholarship Information\nNCDS is pleased to offer a limited number of full scholarships to faculty\, staff\, and students affiliated with nonprofit higher education institutions. \n\nTo apply for a full scholarship\, complete this Google form. \nDO NOT complete the UNC Event Registration form unless you are asked to complete it.\nScholarship Recipients will be notified no later than Friday\, May 1\, 2026.
URL:https://datascienceconsortium.org/event/foundations-of-ai-may14-2026/
LOCATION:via Zoom
CATEGORIES:Professional Development,Upskilling
ATTACH;FMTTYPE=image/png:https://datascienceconsortium.org/wp-content/uploads/NCDS-Foundations-of-AI-03.png
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20260521T130000
DTEND;TZID=America/New_York:20260521T170000
DTSTAMP:20260619T153050
CREATED:20260410T174322Z
LAST-MODIFIED:20260410T175521Z
UID:10000105-1779368400-1779382800@datascienceconsortium.org
SUMMARY:Foundations of AI: Advanced Generative AI for Coders
DESCRIPTION:This new course will introduce more advanced topics in Generative AI\, including a deeper look at some of the tools we touch on in the intro course as well as introducing new topics like agentic AI and the broader aspects of a modern AI workflow. We’ll go over deterministic workflows versus autonomous agents\, advanced prompting\, schema-constrained outputs\, and more to take your generative AI knowledge to the next level and help you get the most out of the power of Generative AI as a coder. After taking this course\, you should be able to use and understand Generative AI beyond its use in chatbots. It is strongly recommended to have some knowledge of generative AI\, NLP\, and Python before taking this course. \nPrerequisites: Intermediate Python skills and a basic understanding of generative AI – if you do not have any background in generative AI\, you are encouraged to register for the accelerated Intro to Generative AI class offered before this course to get up to speed on the basics. \nRegister for the Event \nScholarship Information\nNCDS is pleased to offer a limited number of full scholarships to faculty\, staff\, and students affiliated with nonprofit higher education institutions. \n\nTo apply for a full scholarship\, complete this Google form.\nDO NOT complete the UNC Event Registration form unless our staff asks you to complete it.\nScholarship Recipients will be notified no later than Friday\, May 1\, 2026.
URL:https://datascienceconsortium.org/event/foundations-of-ai-may212026/
LOCATION:via Zoom
CATEGORIES:Professional Development,Upskilling
ATTACH;FMTTYPE=image/png:https://datascienceconsortium.org/wp-content/uploads/NCDS-Foundations-of-AI-03.png
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20260528T150000
DTEND;TZID=America/New_York:20260528T170000
DTSTAMP:20260619T153050
CREATED:20260410T175136Z
LAST-MODIFIED:20260410T175430Z
UID:10000106-1779980400-1779987600@datascienceconsortium.org
SUMMARY:Foundations of AI: Deep Dive into Retrieval Augmented Generation (RAG)
DESCRIPTION:This brief course will take what we’ve learned in the Intro to Generative AI (or Accelerated GenAI) course and go deeper in the world of Retrieval Augmented Generation (RAG) systems. You’ll learn to upgrade your RAG with query rewriting\, reranking\, citation generation\, and more sophisticated evaluation tools. We’ll also touch on agentic RAG. You should come out of this class with the tools to make a more sophisticated RAG system. It is strongly suggested to have knowledge of Generative AI and Python coding\, NLP is useful but not required. \nPrerequisites: Intermediate Python skills\, knowledge of generative AI may be useful but is not required. \nRegister for the Event \nScholarship Information\nNCDS is pleased to offer a limited number of full scholarships to faculty\, staff\, and students affiliated with nonprofit higher education institutions. \n\nTo apply for a full scholarship\, complete this Google form.\nDO NOT complete the UNC Event Registration form unless our staff asks you to complete it.\nScholarship Recipients will be notified no later than Friday\, May 1\, 2026.
URL:https://datascienceconsortium.org/event/foundations-of-ai-may28206/
LOCATION:via Zoom
CATEGORIES:Professional Development,Upskilling
ATTACH;FMTTYPE=image/png:https://datascienceconsortium.org/wp-content/uploads/NCDS-Foundations-of-AI-03.png
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20260623T120000
DTEND;TZID=America/New_York:20260623T130000
DTSTAMP:20260619T153050
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
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