The Data Shows Government Website Accessibility and Usability Go Hand-in-Hand
The National Consortium for Data Science (NCDS), in partnership with Interpersonal Frequency, will host a free webinar, “The Data Shows Government Website Accessibility and Usability Go Hand-in-Hand,” on Wednesday, February 8 at 12 PM ET. Register Here Digital accessibility—whether it’s billed as “Section 508 compliance,” “ADA compliance,” or “WCAG compliance”—is top-of-mind for government organizations, and rightly […]
DataBytes: Five ways that data visualizations can mislead (and how to fix them)
Visualizations allow people to readily analyze and communicate data. However, many common visualization designs lead to engaging imagery but false conclusions. By understanding what people see when they look at a visualization, we can design visualizations that support more accurate data analysis and avoid unnecessary biases. Join UNC Computer Science Assistant Professor Danielle Szafir on […]
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 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, […]
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 Institute for Research in Social Science at UNC-Chapel Hill, the National Consortium for Data Science, and RENCI. Registration is now open for the traditional Data […]
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 essential components of an articulation agreement between a two year institution and a four year institution. Topics that they will address include but are not […]
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 […]