Note to all attendees: Session leaders will contact you with additional information, including a meeting link, for each individual workshop, event, or demonstration.
Participants will be exposed to an array of digital projects, technologies, and methods, and will learn some simple principles for figuring out the sources and technologies that constitute a “project.” The workshop will also address how to find and structure data, including the kinds of data scholars in the humanities tend to be interested in, [...]
This presentation will introduce attendees to the fundamentals of Nvivo queries and analyses. Participants will be shown to easy-to-follow demonstrations of NVivo functions that allow users to visualize information from data sources such as surveys, literature reviews, and interview transcripts. The workshop is geared toward beginners who have had little previous exposure to NVivo. Attendees [...]
Do you have a huge archive to analyze? Do you want to find trends in a large data set? Are your methods time-consuming and difficult to automate? Sampling may be the answer! Learn how sampling can save you time and energy, why representative sampling matters, how to pick random subsets of your data, and how [...]
This workshop will show participants how to use the Python and the Natural Language Toolkit to load a plaintext document, split it into paragraphs/sentences/words, and retrieve dictionary headwords and part-of-speech information for the words in the document. We will then create charts and visualizations for the feature counts. LEVEL: Beginner/Intermediate NOTES: Bring personal laptop; required [...]
This workshop will introduce participants to designing a network study, including data collection, analysis, and visualization. After an overview of network studies in the humanities, students will get hands on experience using Gephi, a free and open source software for network analysis and visualization. LEVEL: Beginner NOTES: Laptop with Gephi installed
Word embeddings are a family of algorithms that can be remarkably effective at representing the meanings of words, and their relationships to each other. We'll cover the basics of word embeddings: what they do, how to train a model using word2vec, and how to use them to search for synonyms and analogies. And we'll look [...]
Working with Dr. Claudio Silva and Dr. Lhaylla Crissaff at New York University's Tandon School of Engineering, we have designed a prototype for a system we have dubbed ARIES for ARt Image Exploration Space. Aries is an interactive image manipulation system that allows for the exploration and organization of fine art images (of paintings, drawings, [...]
Cindy Conaway, an associate professor in Media Studies and Communication and Diane Shichtman an associate professor in Information Systems at SUNY Empire State College will discuss using the Internet Movie Database (IMDb) and its advantages and challenges as a dataset for Digital Humanities. In many ways IMDb is an excellent source for Digital Humanities projects [...]
With almost 40% of the entire world carrying a GPS device around with them in their bag or pocket, digital mapping has exploded in both popularity and accessibility. Carto offers a powerful platform to creatively design maps to explore spatial relationships embedded in any topic or subject you are passionate about. Join us for Intro [...]
This workshop will introduce participants to designing a network study, including data collection, analysis, and visualization. After an overview of network studies in the humanities, students will get hands on experience using Gephi, a free and open source software for network analysis and visualization. Requirements: Attendees should bring a laptop with Gephi installed.
Know the basics of Carto and what to learn more? Join us for Intermediate Carto, which will cover advanced techniques for using Carto, such as implementing widgets to filter and manipulate your data and transforming your maps with built-in analysis features. Participants from Introduction to Carto as well as others who have a general knowledge [...]
This workshop will consist of: a) a showcase of a range of multimedia scholarship and classroom projects, from digital and interactive to analog, and b) an introduction to some DIY and easily accessible tools for digital modes of writing. RSVPs are encouraged to mention what types of projects/scholarship they are interested in so that the [...]
Explore examples of data visualization in the Library's historic collections. The New York Public Library's Center for Research in the Humanities (2nd Floor Stephen A. Schwarzman Building) invites teaching faculty, students, information professionals and others to a reception and open house focusing on both historic and current data visualization projects and collections items. The event [...]
With almost 40% of the entire world carrying a GPS device around with them in their bag or pocket, digital mapping has exploded in both popularity and accessibility. Carto offers a powerful platform to creatively design maps to explore spatial relationships embedded in any topic or subject you are passionate about. Join us for Intro [...]
This workshop will introduce participants to designing a network study, including data collection, analysis, and visualization. After an overview of network studies in the humanities, students will get hands on experience using Gephi, a free and open source software for network analysis and visualization. Attendees can bring their own data, or sample data will be [...]
This workshop looks at Tome as a tool for publishing media rich, accessible, peer reviewed and preservable publications. Tome is now being developed for use in the classroom as a collaborative, academic writing tool and media archive for faculty and students. Equipment Requirements: Laptop with Wifi capabilities
The world is full of networks and different topics of study in the humanities can make up networks: people, texts, ideas, etc. This workshop will introduce basics of network analysis for the humanist. We will learn how to design a network in order to answer research questions in the humanities, how to create and visualize [...]
This course will focus on using the programming language R as a way of visualizing spatial data. It will use four humanities datasets (pre-modern and modern, from Europe and the Middle East) and the code required to carry out the visualization. We will discuss how participants might match different kinds of spatial datasets for different [...]
This digital archive has collected stories and experiences from the Brooklyn College community related to the Covid-19 pandemic. The archive resides within the larger, omnibus archive, A Journal of the Plague Year. This demonstration will review the principles that guided the project, the submission process and explore possible digital humanities projects based upon the archive [...]
This session will focus on hybrid teaching methods adaptable to various subjects and fields. Participants will be introduced to new (and DIY) tools and practices for collaborative learning, mind-mapping, visualizations, and other low/no-budget platforms. The demonstration and talk will be followed by a showcase of student projects and other virtual classroom activities.
“Introduction to IIIF (International Image Interoperability Framework)” shows the main uses and applications of interoperable digital images. Through image viewers, we can work with interoperable content to display, edit, annotate, and share images and cultural heritage collections on the web.
This free online NYC Digital Humanities session organized by Cinema Studies professor Marina Hassapopoulou will focus on hybrid teaching methods adaptable to various subjects and fields in the Humanities. Participants will be introduced to new (and DIY) tools and practices for collaborative learning, mind-mapping, visualizations, and other low/no-budget platforms. The demonstration and talk will be [...]
For most of the last decade digital humanists doing data analysis have chosen between R and Python. But in the past few years, the Javascript ecosystem has blossomed in a way that makes it a viable--and dare I say, fun--way to collaboratively share, explore, and analyze data. Students don't need to install anything to start [...]
Pandas is a Python data science library that allows for the manipulation and transformation of data, and in particular numeric and time series data. In this workshop for people completely new to Pandas, and possibly also to data science and/or programming, we'll take a relatively leisurely look at the Pandas library in conjunction with the [...]
