GC Digital Initiatives is excited to welcome Dr. Joshua Miele to The Graduate Center, CUNY, to speak on the topic of digital accessibility and maker culture. Dr. Miele is the …
#cunydhi Join us for our second annual CUNY DHI lightning talks, which bring together digital humanities projects from across the CUNY campuses. More information on submitting lightning talk proposals will be forthcoming. Sponsored by CUNY DHI and GC Digital Initiatives.
Doc-a-thon March 6th, 5:00-10:00 PM Room 3317 The Digital Fellows, part of the Graduate Center Digital Initiatives at The Graduate Center, CUNY, will be hosting a Doc-a-thon to generate better …
Data cleaning is an important step in any data-driven research project. Often data is harvested from diverse sources such as the web, databases, spreadsheets, text files, and countless other places. …
Interactive web based visualizations are becoming ever more integral to sharing research to the world at large and they are largely created using the D3.js library. In this workshop, we …
What might an ethics beyond compliance look like? Perhaps even an activist ethics? This workshop will review the basics of ethical concerns unique to digital research and projects, focusing on …
This workshop will introduce participants to the basics of analyzing text using easy-to-use tools that do not require any programming knowledge. We will cover how to begin exploratory analyses of your text corpus using tools such as the web-based Voyant, the iPhone app Textal, and the ProtAnt program. Participants will be able to find word and phrase frequencies, see keywords in context, and examine the prototypicality of their text.
Earth Day is celebrated on April 22nd and people from all over the world are launching campaigns and promoting awareness about critical environmental issues. The GC Digital Initiatives is hosting a Wikipedia Edit-a-thon to celebrate Earth Day and to improve the quality of open access, free resources about environmental sciences and humanities. As the largest and most popular general reference work on Internet, Wikipedia provides many people with their first contact with scientific information.
During the Edit-a-thon, you will learn how to set up a Wikipedia account to edit content, learn how to create citations, and either begin connecting existing content to reliable sources or adding new content supported by citations. No previous experience is required!
R has become an indispensable tool for academics in a range of disciplines for analyzing data. Many users come to it though with limited programming experience which can often lead to many more headaches than anyone should reasonably suffer. This workshop attempts to make R a bit less painful. Fortunately the past few years have seen a flowering of open source packages that have tried to do just that. We will learn about some of these packages and how they can be incorporated into our projects.
This workshop will introduce participants to the core concepts of machine learning. We will first outline the differences between the major tasks in supervised and unsupervised machine learning (classification, regression, and clustering). We will then try a hands-on example of text classification to discussion topics such as data preprocessing, feature representation, and dimensionality reduction. For this session, we will be using the scikit-learn machine learning library. A working knowledge of Python is required for this workshop.
