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Note to all attendees: Session leaders will contact you with additional information, including a meeting link, for each individual workshop, event, or demonstration. 

Babble Lab @ Pace University, Room 1105

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163 William St.
New York, NY 10038 United States Get Directions
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Developing a Digital Mapping Assignment for Your Course

Babble Lab @ Pace University, Room 1105 163 William St., New York, NY, United States

For instructors interested in developing a digital mapping assignment, this workshop will provide an overview of some of the most accessible options (Google Earth, StoryMap JS, ArcGIS) and provide examples of mapping assignments. Participants will be asked to submit an idea in advance (it can be very preliminary), which we will develop as part of […]

Free

Teaching with/on Scalar

Babble Lab @ Pace University, Room 1105 163 William St., New York, NY, United States

A hands-on overview of Scalar, a free, online platform designed for creating digital editions. This workshop will showcase and discuss examples of textbooks created on Scalar, offer a quick tutorial on the basics of using Scalar (pages, paths, adding users, tagging, adding images) and offer suggestions for how to incorporate this tool in the classroom. […]

RSVP Now Free 15 spots left

Digital and Spatial Study of Mosques: Xinjiang and Ningxia of China as Case Studies

Babble Lab @ Pace University, Room 1105 163 William St., New York, NY, United States

Different from conventional research methods, spatial study is designed to apply GIS to study space, time and mapping, all of which are valuable in analyzing religious institutions, sites and locations. Supported by multiple spatial, digital and statistical methods, this workshop selects eight cities and prefectures in China to examine the Islamic mosques based on accessible […]

RSVP Now Free 15 spots left

Thinking Through Word Embeddings

Babble Lab @ Pace University, Room 1105 163 William St., New York, NY, United States

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 […]

RSVP Now Free 15 spots left
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