Data Matters: Spring Ahead 2023
Registration is now open for our first-ever Data Matters spring event. Data Matters: Spring Ahead will take place online from March 13 – 16, 2023 and is aimed at students […]
Analyzing Data Science Careers | Spring Career Panel 2023
You 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 and they are ready to discuss what it takes to set yourself apart as you launch your career search.
DataBytes: Data Ethics
The National Consortium for Data Science looks forward to hosting Anisha Nadkarni, Data Ethics Officer and Lead Data Analyst at Randstad, on April 20 for our next DataBytes event as she walks us through the practical challenges she faces in work and how she addresses these issues.
DataBytes: AI Ethics Through the Lens of Causality: A Theory of Fairness
The National Consortium for Data Science looks forward to hosting Christopher Lim, CEO of Epistamai, on June 20 for our next DataBytes event as he discusses AI Ethics Through the Lens of Causality: A Theory of Fairness.
Data Matters 2023
via ZoomData 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 […]
DataBytes: AI in Target Identification and Drug Discovery: Transforming the Future of Medicine
via ZoomThe 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.
Scaling Up: Exploring Articulation Agreements Between Two-Year and Four-Year Institutions: Wake Tech and Shaw University
Articulation agreements between two year and four year institutions aren’t crafted overnight. Join this conversation between leaders at Shaw University and Wake Tech as they walk our audience through the […]
DataBytes: The Risks of Facial Recognition Technology: Dismantling the First Amendment Defense
In a lawsuit challenging its surveillance activities, Clearview AI used the First Amendment as a defense. The facial recognition technology company argued that the creation and use of its surveillance […]
2023 NCDS Fall Career Panel Analyzing Data Science Careers
2023 NCDS Fall Career Panel Analyzing Data Science Careers - Are you career ready? You don’t want to miss these data science professionals who provide insight into what it takes […]
DataBytes: Causal AI: The Key to High-Stakes Decision Making
The National Consortium for Data Science looks forward to welcoming back Christopher Lam, CEO of Epistamai on December 5th for our next DataBytes event as he discusses Causal AI: The […]
DataBytes: Becoming A Data Detective – Holding AI Accountable
via ZoomBias 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, […]
2024 NCDS Spring Career Panel: Analyzing Data Science Careers
via Zoom2024 NCDS Spring Career Panel Analyzing Data Science Careers – Are you career ready? You don’t want to miss these data science professionals who provide insight into what it takes […]
DataBytes: Supporting AI Risk Management in the Analytics Lifecycle
via ZoomThe 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, […]
Foundations of AI: Intro to AI with Amy Hemmeter
In this half-day 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, how to make the most of open-source and pre-trained models on the market, and how to stay ahead of the curve on technical improvements.