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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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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20260127T120000
DTEND;TZID=America/New_York:20260127T130000
DTSTAMP:20260420T062738
CREATED:20251015T165222Z
LAST-MODIFIED:20251112T022059Z
UID:10000099-1769515200-1769518800@datascienceconsortium.org
SUMMARY:LinkedIn Like a Data Scientist: Strategic Networking for the Digital Age
DESCRIPTION:We’re delighted to host Becky Brown once again for an updated session exploring LinkedIn best practices. Becky has held multiple positions at SAS during her decades-long career at the software giant. These days\, Brown helps sales leaders leverage digital platforms to build stronger connections and more opportunities. Learn her favorite techniques and tricks of the trade. \nAbout Becky Brown\nBecky is a trainer and coach for sales teams wanting to leverage digital platforms like LinkedIn and Sales Navigator to build relationships\, uncover opportunities\, and create fuller pipelines. She manages a Social Selling certification program and runs global communications for the team. \nBecky brings a broad set of experiences from 37 years in sales\, marketing and enablement in the technology industry. You can find Becky on LinkedIn and volunteering for the sea turtle patrol in her beloved Emerald Isle\, NC. \n \nRegister for the Event
URL:https://datascienceconsortium.org/event/linkedin-like-a-data-scientist-strategic-networking-for-the-digital-age/
LOCATION:via Zoom
CATEGORIES:Careers in Data Science,Networking,Professional Development,Upskilling
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20260218T120000
DTEND;TZID=America/New_York:20260218T130000
DTSTAMP:20260420T062738
CREATED:20260212T211246Z
LAST-MODIFIED:20260213T170102Z
UID:10000101-1771416000-1771419600@datascienceconsortium.org
SUMMARY:DataBytes: Breaking the Georeferencing Bottleneck - How AI is Transforming Natural History Collections
DESCRIPTION:Large language models (LLMs) offer a transformative solution to one of the most persistent challenges facing natural history collections: converting textual locality data from specimen labels into precise geographical coordinates. Traditional georeferencing methods require substantial expertise\, time\, and financial resources\, constraints that have left millions of specimens in museums and herbaria without spatial data. Our standardized testing demonstrates that contemporary LLMs can achieve near-human accuracy in georeferencing tasks while dramatically reducing both processing time and costs. By integrating LLMs into existing digitization workflows\, institutions can accelerate the spatial enablement of their collections\, unlocking new research opportunities in biodiversity science\, climate change studies\, and conservation planning. This approach has immediate practical applications for collection managers while advancing the broader goal of making natural history data more accessible and analytically powerful for the research community. \n  \nWhat to expect: \n\nPerformance benchmarks and validation: Understand how LLM accuracy compares to traditional georeferencing methods across different specimen types\, locality descriptions\, and geographic regions\, with concrete metrics from standardized testing.\nScalability and resource optimization: Discover how LLMs can dramatically reduce georeferencing bottlenecks\, enabling collections to process thousands of specimens at a fraction of the traditional cost and time investment.\nUnlocking collection value: See how accelerated georeferencing opens new avenues for research applications\, data mobilization initiatives\, and cross-institutional data sharing that were previously limited by spatial data gaps.\n\nRegister for the Event
URL:https://datascienceconsortium.org/event/databytes-feb-2026/
LOCATION:via Zoom
CATEGORIES:DataBytes
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20260226T170000
DTEND;TZID=America/New_York:20260226T180000
DTSTAMP:20260420T062738
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:20260420T062738
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:20260420T062738
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:20260420T062738
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:20260420T062738
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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