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DTSTART;TZID=America/New_York:20260422T120000
DTEND;TZID=America/New_York:20260422T130000
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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
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20260226T170000
DTEND;TZID=America/New_York:20260226T180000
DTSTAMP:20260501T225904
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
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20260218T120000
DTEND;TZID=America/New_York:20260218T130000
DTSTAMP:20260501T225904
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:20260127T120000
DTEND;TZID=America/New_York:20260127T130000
DTSTAMP:20260501T225904
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:20251210T120000
DTEND;TZID=America/New_York:20251210T130000
DTSTAMP:20260501T225904
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:20251030T110000
DTEND;TZID=America/New_York:20251030T120000
DTSTAMP:20260501T225904
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:20251029T130000
DTEND;TZID=America/New_York:20251029T170000
DTSTAMP:20260501T225904
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:20251001T180000
DTEND;TZID=America/New_York:20251001T190000
DTSTAMP:20260501T225904
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:20250924T130000
DTEND;TZID=America/New_York:20250924T170000
DTSTAMP:20260501T225904
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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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20250611T120000
DTEND;TZID=America/New_York:20250611T133000
DTSTAMP:20260501T225904
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
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20250515T130000
DTEND;TZID=America/New_York:20250515T170000
DTSTAMP:20260501T225904
CREATED:20250411T033132Z
LAST-MODIFIED:20250423T185802Z
UID:10000091-1747314000-1747328400@datascienceconsortium.org
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
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20250129T120000
DTEND;TZID=America/New_York:20250129T130000
DTSTAMP:20260501T225904
CREATED:20241126T150504Z
LAST-MODIFIED:20241202T164029Z
UID:10000081-1738152000-1738155600@datascienceconsortium.org
SUMMARY:Careers in Data Science: Rock Your LinkedIn Profile with Becky Brown
DESCRIPTION:Your presence on LinkedIn and other social channels is the first impression you make on clients and your network. Creating the right presence is the key to having people “opt-in” to conversations with you. Join this session to learn how to articulate a clear and authentic personal brand\, how to define your LinkedIn strategy\, and how to build a LinkedIn profile that connects with your target audience so you can make more authentic connections. \nRegister for the Event \n \n  \nAbout the Speaker | Becky Brown\nBecky Brown brings almost four decades of experience into her work as a coach\, trainer\, and LinkedIn content creator. Her career spans a blend of sales and marketing roles in the technology field and she currently works to support her colleagues as senior sales enablement program manager at the largest privately-held software company in the role. She focuses on helping professionals find greater fulfillment in work and life by expanding their insights and perspectives through meaningful social connections. Becky earned a Business degree from Meredith College and holds certifications in LinkedIn coaching\, social selling\, career coaching and professional life coaching.
URL:https://datascienceconsortium.org/event/careers-in-data-science-jan-2025/
LOCATION:via Zoom
CATEGORIES:Careers in Data Science
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240430T153000
DTEND;TZID=America/New_York:20240430T161500
DTSTAMP:20260501T225904
CREATED:20240222T165513Z
LAST-MODIFIED:20240222T170615Z
UID:10000070-1714491000-1714493700@datascienceconsortium.org
SUMMARY:DataBytes: Supporting AI Risk Management in the Analytics Lifecycle
DESCRIPTION:The National Institute of Standards and Technology (NIST) released an AI Risk Management Framework for trustworthy and responsible use of AI and analytics. NIST offers a portfolio of measurements\, standards\, and legal metrology to provide recommendations that ensure traceability\, enable quality assurance\, and harmonize documentary standards and regulatory practices. Their framework is very detailed with recommendations across four functions: govern\, map\, measure\, and manage. In this session\, we’ll discuss incorporating these recommendations into the analytics lifecycle. Attendees to this session will gain a greater understanding of trustworthy AI best practices as well as user roles and expectations for building responsible analytics. \nJoin NCDS as Sophia Rowland\, a Senior Product Manager focusing on ModelOps and MLOps at SAS\, walks us through this important presentation. \nRegister for the Event \n\n 
URL:https://datascienceconsortium.org/event/databytes-supporting-ai-risk-management-in-the-analytics-lifecycle/
LOCATION:via Zoom
CATEGORIES:DataBytes,Professional Development,Upskilling
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240305T170000
DTEND;TZID=America/New_York:20240305T180000
DTSTAMP:20260501T225904
CREATED:20240215T164647Z
LAST-MODIFIED:20240221T160910Z
UID:10000069-1709658000-1709661600@datascienceconsortium.org
SUMMARY:2024 NCDS Spring Career Panel: Analyzing Data Science Careers
DESCRIPTION:2024 NCDS Spring Career Panel Analyzing Data Science Careers – Are you career ready?\nYou don’t want to miss these data science professionals who provide insight into what it takes to capture the attention of top recruiters in data science and data analytics. Our panelists represent a variety of career stages (a former high school teacher! a Practice Lead and Hollywood script consultant!) and they are ready to discuss what it takes to set yourself apart as you launch your career search. \nJoin us to learn more about: \n\n\n\nWhat programming languages are in demand now\nUnexpected ways to promote your experience\nWhat experiences you should gain early in your career\n\n\n\nModerator: Wing Chan\, Senior Vice President\, Global Risk Management\, Bank of America \nRegister for the Event \nPanelists include:\n\n Paige Spell  |  Data Scientist at Elder Research: Paige obtained a bachelor’s in Applied Mathematics at Appalachian State University along with minors in Biology\, Statistics\, and Computer Science. There\, she discovered a passion for working with data to make a difference. Paige developed many technical skills but realized she was only scratching the surface. She then went on to earn a master’s degree in Analytics at NC State University\, gaining practical experience in model explainability and using machine learning to analyze complex relational claims data. After graduation\, Paige worked as a Data Scientist at Red Hat\, Inc. forecasting company revenue and product consumption while engaging C-level executives\, impacting prompt hiring decisions and influencing business growth. Looking for more diverse problems and a strong technical team\, she decided to join Elder Research Inc almost two years ago.\n Melinda Thielbar  | Vice President of Data Science\, Practice Lead at Fidelity Investments: Thielbar is a researcher and statistical software developer with over twenty years of industry experience. Her career ranges from statistics education to developing algorithms for commercial software to Hollywood script consulting. She co-founded Research Triangle Analysts\, a 501(c)(3) not-for-profit focused on education and training for people working in the analytics field in the Raleigh-Durham area. Thielbar currently works as a Practice Lead in Fidelity Investments’ Workplace Investing.\n Rachini Moosavi  | Chief Analytics Officer at UNC Health: Rachini Moosavi\, MHA\, is the Vice President of Enterprise Analytics at UNC Health. She is passionate about empowering people\, delivering value\, and improving lives. Over her nearly twenty-year career in healthcare\, Rachini has served in analytics\, clinical\, operational\, process improvement\, and leadership roles. As a recent graduate of the Carnegie Mellon University CDataO Certificate program\, Rachini continues to champion and lead data and analytics enablement within her Enterprise Analytics & Data Sciences team and across The Analytics Community at UNC Health\, ensuring that healthcare transformation continues to be catalyzed by insights.\n Adam Cottrell  |  Analytical Consultant at SAS : With more than a decade of experience as a high-performance athletics coach and public educator\, Adam is eager to bring his passion for supporting others and a sharp understanding of team dynamics to the data science world. He is driven to understand all types of systems\, from the human and societal to the physical and philosophical. This curiosity led him to earning a BS in Physics as well as a Masters in Secondary Science Teaching. As a rowing coach\, he instructed athletes of all abilities\, aged 12 to 70+\, and oversaw the development of many nationally competitive collegiate crews. While coaching\, he also worked in the public-school system in several roles across the K-12 spectrum. He hopes to leverage his backgrounds in science\, education\, and coaching to help bring meaningful insight to a world quickly growing in its need for intelligent\, data-driven change.
URL:https://datascienceconsortium.org/event/2024-ncds-spring-career-panel/
LOCATION:via Zoom
CATEGORIES:Career Panel,Networking
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240222T120000
DTEND;TZID=America/New_York:20240222T130000
DTSTAMP:20260501T225904
CREATED:20240202T162917Z
LAST-MODIFIED:20240213T163833Z
UID:10000068-1708603200-1708606800@datascienceconsortium.org
SUMMARY:DataBytes: Becoming A Data Detective - Holding AI Accountable
DESCRIPTION:Bias and brittleness in artificial intelligence (Al) tools are a growing concern. Join Hilke Schellman\, Emmy-award winning investigative reporter\, Wall Street Journal and Guardian contributor and Journalism Professor at NYU\, as she shares key takeaways from her book\, The Algorithm: How Al Decides Who Gets Hired\, Monitored\, Promoted\, and Fired and Why We Need to Fight Back Now. \nAl is now being used to decide who has access to an education\, who gets hired\, who gets fired\, and who receives a promotion. Algorithms are on the brink of dominating our lives and threaten our human future-if we don’t fight back. During the webinar\, Schellmann will share takeaways about the rise of Al in the world of work and show how she tested many of the available tools herself without coding experience. \nDuring our time together\, Hilke will share a few key takeaways from the book and answer questions from the audience. You don’t want to miss this.\nRegister for the Event
URL:https://datascienceconsortium.org/event/databytes-feb-2024/
LOCATION:via Zoom
CATEGORIES:DataBytes,Professional Development,Upskilling
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230822T120000
DTEND;TZID=America/New_York:20230822T130000
DTSTAMP:20260501T225904
CREATED:20230619T140554Z
LAST-MODIFIED:20230816T162023Z
UID:10000061-1692705600-1692709200@datascienceconsortium.org
SUMMARY:DataBytes: AI in Target Identification and Drug Discovery: Transforming the Future of Medicine
DESCRIPTION:The National Consortium for Data Science looks forward to hosting Kimberly Robasky\, Associate Director of Machine Learning/AI at Arrakis Therapeutics\, on August 22 for our next DataBytes event as she discusses AI in Target Identification and Drug Discovery: Transforming the Future of Medicine. \nRegister Here \nArtificial intelligence (AI) is taking a transformative role in target identification and drug discovery. Today\, AI algorithms can analyze vast\, multi-modal datasets to identify drug targets\, accelerate lead compound discovery\, and optimize drug design. AI is being used by biotechnology companies around the world to compress timelines and improving clinical trial outcomes. Join us to uncover the data-driven revolution in personalized medicine enabled by AI-driven drug development.
URL:https://datascienceconsortium.org/event/databytes-aug-2023/
LOCATION:via Zoom
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END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20230807
DTEND;VALUE=DATE:20230812
DTSTAMP:20260501T225904
CREATED:20230420T140440Z
LAST-MODIFIED:20230531T154554Z
UID:10000057-1691366400-1691798399@datascienceconsortium.org
SUMMARY:Data Matters 2023
DESCRIPTION:Data Matters™ is a week-long series of one and two-day courses aimed at students and professionals in business\, research\, and government. The short course series is sponsored by the Odum Institute for Research in Social Science at UNC-Chapel Hill\, the National Consortium for Data Science\, and RENCI. \nRegistration is now open for the traditional Data Matters series which will be held August 7 – 11\, 2023. Register here. \nData Matters gives students the chance to learn about a wide range of topics in data science\, analytics\, visualization\, curation\, and more from expert instructors. Registration is now open; reserve your spot now!
URL:https://datascienceconsortium.org/event/data-matters-2023/
LOCATION:via Zoom
CATEGORIES:Data Matters
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END:VEVENT
END:VCALENDAR