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UID:2678-1549378800-1549386000@nycdh.org
SUMMARY:Developing a Digital Mapping Assignment for Your Course
DESCRIPTION: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 the workshop. \nRequirements: attendees should bring their own laptop.
URL:https://nycdh.org/dhweek/event/developing-a-digital-mapping-assignment-for-your-course/
LOCATION:Babble Lab @ Pace University\, Room 1105\, 163 William St.\, New York\, NY\, 10038\, United States
CATEGORIES:Beginner,GIS,Mapping,Pedagogy
ORGANIZER;CN="Kelley Kreitz":MAILTO:kkreitz@pace.edu
GEO:40.710219;-74.00619
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20180209T130000
DTEND;TZID=America/New_York:20180209T150000
DTSTAMP:20260520T055428
CREATED:20180118T195134Z
LAST-MODIFIED:20180207T171940Z
UID:1582-1518181200-1518188400@nycdh.org
SUMMARY:Teaching with/on Scalar
DESCRIPTION: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. \nLEVEL: Beginner\nNOTES: Bring personal laptop. Also\, you must create an account in advance at: http://scalar.usc.edu/works/ and obtain a registration key by emailing the Alliance for Networking Visual Culture here: https://scalar.me/anvc/contact/
URL:https://nycdh.org/dhweek/event/teaching-with-on-scalar/
LOCATION:Babble Lab @ Pace University\, Room 1105\, 163 William St.\, New York\, NY\, 10038\, United States
CATEGORIES:Beginner,Pedagogy,Scalar
ORGANIZER;CN="Andrea Silva":MAILTO:ASilva@york.cuny.edu
GEO:40.710219;-74.00619
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20180209T100000
DTEND;TZID=America/New_York:20180209T120000
DTSTAMP:20260520T055428
CREATED:20180118T210420Z
LAST-MODIFIED:20180207T172013Z
UID:1650-1518170400-1518177600@nycdh.org
SUMMARY:Digital and Spatial Study of Mosques: Xinjiang and Ningxia of China as Case Studies
DESCRIPTION: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 government data. Following the discussion of the methodologies and data\, the workshop focuses on the density of the Muslim population in the selected cities by calculating the average number of Muslims attending one mosque. In addition\, this workshop applies a spatial method\, the Location Analysis Method\, to scrutinize the availability of Islamic mosques by measuring the average distance between Chinese Muslim residential areas and their nearest mosque. Furthermore\, this workshop employs two different spatial methods\, the Two Step Floating Catchment Area and the Network Analysis Method\, to investigate the accessibility of mosques by means of estimating the average driving time required for Muslims to reach the nearest mosque. After comparing the average rankings of density\, availability and accessibility of mosques in the eight cities and prefectures\, this workshop proposes three criteria for determining the accessibility of mosques in Xinjiang and Ningxia\, two areas with heavy concentration of Muslim population in China. \nLEVEL: Beginner\nNOTES: N/A
URL:https://nycdh.org/dhweek/event/digital-and-spatial-study-of-mosques-xinjiang-and-ningxia-of-china-as-case-studies/
LOCATION:Babble Lab @ Pace University\, Room 1105\, 163 William St.\, New York\, NY\, 10038\, United States
CATEGORIES:Art History,Beginner,Mapping,Networks
ORGANIZER;CN="George Hong":MAILTO:zhong4@fordham.edu
GEO:40.710219;-74.00619
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DTSTART;TZID=America/New_York:20180207T100000
DTEND;TZID=America/New_York:20180207T120000
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CREATED:20180122T194248Z
LAST-MODIFIED:20180123T184557Z
UID:1695-1517997600-1518004800@nycdh.org
SUMMARY:Thinking Through Word Embeddings
DESCRIPTION: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 at issues more specific to the humanities and social sciences\, including how to compare models trained on different sets of texts to each other\, when to use word2vec vs topic models\, and strategies for visualizing models. Finally\, we’ll talk about the social biases embodied in the space of language models\, both as a technical problem with solutions and as an opportunity for algorithmic criticism. \nHands-on analysis and visualization will be done editing pre-written scripts in the R statistical environment; no prior programming experience is necessary. We’ll distribute several pre-trained models at the workshop\, but you can try to train one on your own texts ahead of time as well. \nLEVEL: Beginner\nNOTES: Laptop with R and Rstudio programs installed required. Instructions available.
URL:https://nycdh.org/dhweek/event/thinking-through-word-embeddings/
LOCATION:Babble Lab @ Pace University\, Room 1105\, 163 William St.\, New York\, NY\, 10038\, United States
CATEGORIES:Beginner,R,Statistics,Text Analysis,Visualization
ORGANIZER;CN="Ben Schmidt":MAILTO:bmschmidt@gmail.com
GEO:40.710219;-74.00619
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