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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:20250515T130000
DTEND;TZID=America/New_York:20250515T170000
DTSTAMP:20260403T132914
CREATED:20250411T033132Z
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SUMMARY:Foundations of AI: The Basics of Natural Language Processing
DESCRIPTION:In this workshop you’ll learn the basics of Natural Language Processing (NLP): the subfield of AI and data science dedicated to human language. \nYou’ll also learn: \n\nHow to do basic analyses with unstructured text data\nHow to use deep learning to create NLP models from scratch and finally how\nHow large language models (LLMs) and Generative AI work and connect to other NLP skills.\n\nWe’ll touch on some aspects of deep learning that are specific to NLP\, some more basic analyses of unstructured data and how to deal with lots of unlabeled text (e.g. clustering) and basically go deeper on things that are really NLP-related as opposed to AI more generally. \nPre-requisites\nBasic Python knowledge required\, machine learning knowledge helpful but not required\, very basic data science knowledge (i.e. linear regression) is recommended. \nRegister for the Event \nScholarship Information\nNCDS is pleased to offer a limited number of full scholarships for faculty\, staff and students at two-year and four-year institutions to attend the Foundations of AI: The Basics of Natural Language Processing course on Thursday\, May 15\, 2025 from 1:00 p.m. – 5:00 p.m. ET. \n\nTo apply for a full scholarship\, submit your application via this form. \nDO NOT USE THE MAIN REGISTRATION FORM TO APPLY FOR THE SCHOLARSHIP.
URL:https://datascienceconsortium.org/event/foundations-of-ai-may-2025/
LOCATION:via Zoom
CATEGORIES:Professional Development,Upskilling
ATTACH;FMTTYPE=image/png:https://datascienceconsortium.org/wp-content/uploads/NCDS_Flyer_2025_05_Foundations-02.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20250611T120000
DTEND;TZID=America/New_York:20250611T133000
DTSTAMP:20260403T132914
CREATED:20250421T210148Z
LAST-MODIFIED:20250527T173317Z
UID:10000092-1749643200-1749648600@datascienceconsortium.org
SUMMARY:DataBytes: The AI Security Gap: How Close Are We to Achieving Trustworthy AI?
DESCRIPTION:Key Findings from the NIST AI 100-2 Report\nIn this webinar\, Apostol Vassilev will examine the recently published 2025 edition of the NIST Al 100-2 report\, a crucial resource for organizations seeking to ensure the security of Al systems. The talk will focus on the security of generative Al models\, tailored to address the needs of Al practitioners and stakeholders in the audience. The report provides a comprehensive taxonomy of concepts and terminology in the field of adversarial machine learning (AML)\, organizing key Al technologies\, attack life cycle stages\, and attacker goals\, objectives\, capabilities\, and knowledge into a conceptual hierarchy. By identifying current security challenges in the Al system life cycle and describing methods for mitigation and management\, the report aims to establish a common language for the rapidly evolving AML landscape. This webinar will provide attendees with a deeper understanding of the development and deployment of more trustworthy and responsible Al systems.\nRegister Here
URL:https://datascienceconsortium.org/event/databytes-june-2025/
LOCATION:via Zoom
CATEGORIES:Professional Development,Upskilling
ATTACH;FMTTYPE=image/png:https://datascienceconsortium.org/wp-content/uploads/NCDS_Flyer_2025_06_DataBytes_Small-Flyer-1.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20250827T120000
DTEND;TZID=America/New_York:20250827T130000
DTSTAMP:20260403T132914
CREATED:20250811T202251Z
LAST-MODIFIED:20250827T145749Z
UID:10000093-1756296000-1756299600@datascienceconsortium.org
SUMMARY:DataBytes: Introducing the NCATS Biomedical Data Translator: A new tool for Biomedical Data Integration and Inference
DESCRIPTION:Speaker: Chris Bizon\, Director of Analytics and Data Science\, RENCI\nHost: Becky Boyles\, Deputy Director\, RENCI \nThe growing availability of biomedical data offers vast potential to improve human health\, but the complexity and lack of integration of these datasets often limit their utility. To address this\, the Biomedical Data Translator Consortium has developed an open-source knowledge graph–based system—Translator—designed to integrate\, harmonize\, and make inferences over diverse biomedical data sources. To demonstrate Translator’s application and impact\, we highlight features of the user interface in the context of three real-world use cases: suggesting potential therapeutics for patients with rare disease; explaining the mechanism of action of a pipeline drug; and screening and validating drug candidates in a model organism. \nKey takeaways include the following: \n\nBased on rich concept modeling and deep provenance tracking\, we’ll provide an overview of how Translator works.\nOpportunities to engage with Translator at http://ui.transltr.io and through our Ambassadors and Champions program.\n\nRegister for the Event \nChris Bizon | bizon@renci.org\nChris Bizon is the director of Analytics and Data Science. He leads a team that applies a range of analytical methods including knowledge graphs\, machine learning\, visual analytics\, semantic web-based reasoning\, and textual annotation across many domains. He joined RENCI in 2008 as a member of the informatics group\, where he worked in the areas of high-throughput sequencing\, genomic analysis\, and clinical genomics. Prior to joining RENCI\, he spent a decade in the private sector working as both a developer and a researcher in the areas of fluid dynamics simulations and the application of machine learning to drug discovery. He holds a BS in Physics from the University of North Carolina at Chapel Hill and a PhD in Physics from the University of Texas at Austin\, where he developed numerical models of nonlinear phenomena including pattern formation in oscillated granular media.
URL:https://datascienceconsortium.org/event/databytes-aug-2025/
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20250924T130000
DTEND;TZID=America/New_York:20250924T170000
DTSTAMP:20260403T132914
CREATED:20250814T165335Z
LAST-MODIFIED:20250814T171711Z
UID:10000094-1758718800-1758733200@datascienceconsortium.org
SUMMARY:Foundations of AI: Intro to Generative AI for Non-Coders
DESCRIPTION:This four-hour workshop is designed to provide non-technical audiences an understanding of AI\, its fundamental concepts\, and its practical applications. The course clarifies technical jargon and reveals how everyday people rely on AI in their personal and professional lives. \n\nAttendees will receive big picture explanations of how AI works and will learn about opportunities and risks in the field.\nThey will leave the course with deeper awareness of AI use in their work environment and a greater technical understanding of how AI drives innovation across sectors.\nAttendees will also learn the basics of prompt engineering\, with examples on how to get the best outputs from generative AI tools by learning best practices in prompt engineering.\n\nPrerequisites: None! This course is open and encouraged for anyone and everyone. \nRegister for the Event \nNCDS is pleased to offer a limited number of full scholarships for faculty\, staff and students at two-year and four-year institutions to attend the Foundations of AI: Intro to Generative AI for Non-Coders on Wednesday\, Sept. 24 from 1 p.m. – 5 p.m. ET. \nTo apply for a full scholarship\, submit your application via this form. DO NOT USE THE MAIN REGISTRATION FORM TO APPLY FOR THE SCHOLARSHIP.
URL:https://datascienceconsortium.org/event/foundations-of-ai-sept-2025/
LOCATION:via Zoom
CATEGORIES:Professional Development,Upskilling
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20251001T180000
DTEND;TZID=America/New_York:20251001T190000
DTSTAMP:20260403T132914
CREATED:20250814T173742Z
LAST-MODIFIED:20250925T203047Z
UID:10000095-1759341600-1759345200@datascienceconsortium.org
SUMMARY:2025 NCDS Fall Career Panel: Analyzing Data Science Careers
DESCRIPTION:Join panelists working in a variety of fields\, leveraging their knowledge and experience in data science to forge distinct careers 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 make a top candidate the only candidate for a role in this competitive field. Get ready to dive into the following topics: \n\nDo I need a graduate degree to be competitive?\nWhat are three things I should do as an undergrad to make my resume stand out?\nHELP! I don’t have a degree in data science!\n\nModerator: Sarah Egan Warren\, Teaching Assistant Professor\, Institute for Advanced Analytics and Lead Facilitator\, UNC System’s Faculty Learning Community for AI in Teaching & Learning\, North Carolina State University \nPanelists: \n\nLaura Faircloth\, Arabic NLP Scientist\, MetaMetrics\nEmily Hadley\, Security Researcher\, Microsoft AI Red Team\nBen Heller\, GenAI Transformation Lead\, Google Cloud\nVrushali Sawant\, Data Scientist\, Data Ethics Practice\, SAS\n\nRegister for the Event
URL:https://datascienceconsortium.org/event/fall-career-panel-2025/
LOCATION:via Zoom
CATEGORIES:Career Panel,Careers in Data Science,Networking,Professional Development
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20251029T130000
DTEND;TZID=America/New_York:20251029T170000
DTSTAMP:20260403T132914
CREATED:20251015T163838Z
LAST-MODIFIED:20251015T164356Z
UID:10000098-1761742800-1761757200@datascienceconsortium.org
SUMMARY:Foundations of AI: Introduction to Deep Learning
DESCRIPTION:In this course you’ll learn about Artificial Intelligence (AI)\, starting with foundational concepts in machine learning and deep learning\, then moving to the basics of Natural Language Processing and Computer Vision that got us to our current boom in Generative AI as demonstrated by GPT-3\, DALL-E and other well-known tools. Learn how to train your own AI models\, and how to make the most of open-source and pre-trained models on the market. \n— How machine learning works\n— Basics of deep learning\n— Basics of Natural Language Processing\n— How to do deep learning with language data \nPrereqs: Familiarity with Python is strongly encouraged. Some knowledge of data science and machine learning is useful but not required. \nRegister for the Event \nNCDS is pleased to offer a limited number of full scholarships for faculty\, staff and students at two-year and four-year institutions to attend the Foundations of AI: Introduction to Deep Learning course on Wednesday\, Oct. 29 \, 2025 from 1 p.m. – 5 p.m. ET. \nTo apply for a full scholarship\, submit your application via this form. DO NOT USE THE MAIN REGISTRATION FORM TO APPLY FOR THE SCHOLARSHIP.
URL:https://datascienceconsortium.org/event/foundations-of-ai-oct-2025/
LOCATION:via Zoom
CATEGORIES:Professional Development,Upskilling
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20251030T110000
DTEND;TZID=America/New_York:20251030T120000
DTSTAMP:20260403T132914
CREATED:20251015T155907Z
LAST-MODIFIED:20251015T170701Z
UID:10000097-1761822000-1761825600@datascienceconsortium.org
SUMMARY:DataBytes: Real-World AI Evaluation: Overcoming the AI Assurance Bottleneck
DESCRIPTION:Current AI evaluation methods focus solely on the underlying technology and lack the necessary detail for real-world deployment decisions. Civitaas aims to bridge this gap and accelerate AI market readiness by evaluating the quality\, safety\, and utility of AI technologies in the real world. We achieve this through real-time user feedback as they interact with AI systems\, leading to more meaningful outcomes that enable businesses to leverage AI effectively and responsibly. \nRegister for the Event
URL:https://datascienceconsortium.org/event/databytes-oct-2025/
LOCATION:via Zoom
CATEGORIES:DataBytes,Professional Development,Upskilling
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20251210T120000
DTEND;TZID=America/New_York:20251210T130000
DTSTAMP:20260403T132914
CREATED:20251015T165314Z
LAST-MODIFIED:20251203T162836Z
UID:10000100-1765368000-1765371600@datascienceconsortium.org
SUMMARY:DataBytes: Calling all Data Scientists...Introducing ROBOKOP
DESCRIPTION:ROBOKOP (Reasoning Over Biomedical Objects linked in Knowledge Oriented Pathways) is a knowledge graph system that aims to accelerate and advance scientific discovery by enabling users to simultaneously explore dozens of integrated and harmonized sources of biomedical knowledge. ROBOKOP has been applied to suggest mechanistic insights into biomedical questions and hypotheses for subsequent testing across multiple domains\, including hepatotoxicity\, environmental determinants of disease\, drug repurposing and mechanism of action\, and others. \nDuring this NCDS webinar\, Dr. Karamarie Fecho will provide a short presentation and live demonstration of ROBOKOP\, followed by an opportunity for attendees to pose questions to ROBOKOP and explore answers. \nAfter this webinar\, attendees will:\n● Gain a general understanding of knowledge graphs\n● Be aware of the ROBOKOP knowledge graph system and know how to access it\n● Have a basic understanding of how to query ROBOKOP and interpret results \nFunding\nROBOKOP is funded by NIEHS with joint support from the NIH Office of Data Science (#U24ES035214). Drs. Alexander Tropsha and Chris Bizon\, of the University of North Carolina at Chapel Hill\, serve as Principal Investigators. \nAbout Dr. Karamarie Fecho\nDr. Fecho holds a PhD degree in Neurobiology from UNC’s School of Medicine. Her scientific background is broad and spans the clinical and translational spectrum\, from basic science to clinical research to healthcare quality assurance/improvement and data science. \nKara currently serves as Founder and CEO of Copperline Professional Solutions\, which is a small biomedical consulting company that she founded in 2010. Through Copperline\, Kara has engaged with numerous academic organizations\, pharmaceutical companies\, tech start-ups\, and non-profits\, providing a wide array of services\, products\, and expertise. \nKara also is a Research Affiliate at RENCI\, where in recent years she has been focused on the development and application of biomedical knowledge graphs. This webinar will focus on her work on the ROBOKOP (Reasoning Over Biomedical Objects linked in Knowledge Oriented Pathways) knowledge graph system. \nREGISTER HERE
URL:https://datascienceconsortium.org/event/databytes-dec-2025/
LOCATION:via Zoom
CATEGORIES:DataBytes,Professional Development,Upskilling
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20260127T120000
DTEND;TZID=America/New_York:20260127T130000
DTSTAMP:20260403T132914
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
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20260218T120000
DTEND;TZID=America/New_York:20260218T130000
DTSTAMP:20260403T132914
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
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20260226T170000
DTEND;TZID=America/New_York:20260226T180000
DTSTAMP:20260403T132914
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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