This workshop will introduce you to the basics of LaTeX, a powerful typesetting system widely used for academic writing, research papers, and technical documents.
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This workshop will introduce you to the basics of LaTeX, a powerful typesetting system widely used for academic writing, research papers, and technical documents.
Free
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Are you interested in exploring ways to visualize data? In this intro-level workshop to mapping, you will take your first steps toward creating your own maps and visualizing spatial data. …
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There are facts to support AI anxiety: from the water-sucking data centers to the newfound limelight of the em dash. While we may not be able to keep ourselves safe …
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Join Lini Radhakrishnan and Cathleen Melamed, students in the M.A. program in Digital Humanities, to learn about their experience turning the coursework of “Digital Memories: Theory and Practice” into an … |
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Registration link: https://gc-cuny-edu.zoom.us/meeting/register/9kzpOW4AQ1y6g9bFoie5ag Please join us for a 1.5-hour Introduction to Manifold workshop. In the first part of the workshop, we will provide an overview of the Manifold digital publishing platform … |
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In this workshop, we will discuss how students and researchers can create an online presence about their work and interests using scholarly tools. Similar to CUNY Commons, Knowledge Commons advocates for open science, open libraries, and open-source movements and challenges the enclosure of intellectual property and ensure that knowledge is openly accessible for collective benefit.
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Free
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Do you have a question about using Manifold? Then join us for our October drop-in office hour! This is an informal way for you to meet with the CUNY Manifold … |
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Join us for our 11th annual Digital Humanities Initiative Lightning Talks! This event will be in-person in the Graduate Center Skylight Room and on Zoom. Register to present or attend … |
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This workshop introduces pandas, the powerful Python library for working with structured data. You’ll learn how to read, clean, transform, and analyze datasets using pandas’ intuitive data frames.
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