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 product was First Amendment protected speech. Join Talya Whyte, third-year law student at New York University, as she presents a case study on the parties’ […]
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 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 […]
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 Key to High-Stakes Decision Making. There has been tremendous attention to the generative AI wave and its enormous potential to transform industries. But there is […]
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, 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 […]
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 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 […]
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, 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 […]
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.
DataBytes: Using GenAI to win STTR and SBIR Government Grants
Through a competitive awards-based program, STTR and SBIR federal grants enable small businesses to explore their technological potential and open new opportunities to profit from its commercialization. However, it can be difficult for first-time applicants to get their foot in the door, between sorting through guidelines, requirements, and deadlines, and trying to locate successful examples. […]
Data Matters 2024
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. Data Matters gives students the chance to learn about a wide range of topics in data science, analytics, visualization, curation, and more from expert instructors.
DataBytes: Data Viz, Chemistry, Art, and Public Health: Making Sense of Street Drugs
At the Street Drug Analysis Lab, researchers analyze street drug samples from around the country and have detected about 300 unique chemical substances. But making sense of chemicals is a notorious challenge, with long names, esoteric molecules, and overlapping pharmacological properties. Therefore, the team created a flexible ontology that can adapt over time, and developed […]
Careers in Data Science: Measuring Social Impact at the Kennedy Center
From liberal arts major to major impact: What do Musical Theater, Psychology, History, and Business Administration all have in common? These fields can all provide you with successful tools and experiences that can lead to valuable careers incorporating data science. In this session, Trés McMichael, Senior Program Manager for Social Impact Civic Alliances at the Kennedy Center in Washington, D.C., will discuss his pathways from a liberal arts education to a non-profit professional who has incorporated research, evaluation, and data visualization as a tool to support arts, culture, and community change.
Scaling Up: Developing a Coordinating Hub for Data Competency
In this session, Dr. Crista Arangala will introduce Elon University’s Data Nexus. The Data Nexus initiative was created as part of a five-year Quality Enhancement Plan developed during its most recent accreditation process and serves as a coordinating hub for data competency initiatives at the university throughout the plan and beyond. In its first year, […]
Foundations of AI: AI for Non-Coders
Ever say to yourself: what even is an LLM? How do I get from chatting with ChatGPT to talking about larger AI products? How do I answer these nonstop questions from colleagues, customers, leadership and more in this new landscape?
Do you find yourself needing expertise on AI that, quite frankly, you didn’t sign up for?
This course is designed to meet the needs of people who are not necessarily well versed in math and science but who know that they need to know the basics about AI in this changing landscape.