BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//NYCDH Week - ECPv6.15.17//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-ORIGINAL-URL:https://nycdh.org/dhweek
X-WR-CALDESC:Events for NYCDH Week
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:America/New_York
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20150308T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20151101T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20160313T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20161106T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20170312T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20171105T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20180311T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20181104T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20190310T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20191103T060000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20180208T100000
DTEND;TZID=America/New_York:20180208T120000
DTSTAMP:20260421T111158
CREATED:20180118T204107Z
LAST-MODIFIED:20180207T172109Z
UID:1621-1518084000-1518091200@nycdh.org
SUMMARY:R for Text Analysis
DESCRIPTION:In this workshop\, we will use R for text analysis\, with a focus on the Tidy Text approach within the Tidytext framework. Your insights will be visualized and can also be turned into an interactive without any web coding skills\, using Shiny R. The workshop is open to anyone with an interest in this topic. No prior experience in R is needed. \nLEVEL: Beginner\nNOTES: Laptop computer with WIFI; paper and pen for sketching and note taking. You don’t need R and R Studio installed prior to the workshop\, but it would help to do so. The workshop will be an online interactive.
URL:https://nycdh.org/dhweek/event/r-for-text-analysis/
LOCATION:Studio@Butler\, 535 W. 114th St.\, New York\, NY\, 10027\, United States
CATEGORIES:Beginner,Statistics,Text Analysis
ORGANIZER;CN="Joshua Korenblat":MAILTO:korenblj@newpaltz.edu
GEO:40.8064029;-73.9632198
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Studio@Butler 535 W. 114th St. New York NY 10027 United States;X-APPLE-RADIUS=500;X-TITLE=535 W. 114th St.:geo:-73.9632198,40.8064029
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20180207T100000
DTEND;TZID=America/New_York:20180207T120000
DTSTAMP:20260421T111158
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
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Babble Lab @ Pace University Room 1105 163 William St. New York NY 10038 United States;X-APPLE-RADIUS=500;X-TITLE=163 William St.:geo:-74.00619,40.710219
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20180206T180000
DTEND;TZID=America/New_York:20180206T200000
DTSTAMP:20260421T111158
CREATED:20180118T194721Z
LAST-MODIFIED:20180125T183811Z
UID:1578-1517940000-1517947200@nycdh.org
SUMMARY:Introduction to R and Emacs
DESCRIPTION:Almost everyone is going to have to load data and make graphs. You want to do this in a stat system that is free and open source. Also\, it is a waste of time to reinvent the wheel every time you change languages. We will use simple crime and poverty data but generate a wide variety of plots including maps. \nLEVEL: Intermediate\nNOTES: Personal laptop in which software can be downloaded (Chromebooks are discouraged)
URL:https://nycdh.org/dhweek/event/intro-to-r-and-emacs/
LOCATION:John Jay College\, 6th Floor\, Math Conference Room\, 524 West 59th. Street\, New York\, NY\, 10019\, United States
CATEGORIES:Intermediate,Mapping,R,Statistics
ORGANIZER;CN="Evan Misshula":MAILTO:EvanMisshula@gmail.com
GEO:40.7707237;-73.9892342
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=John Jay College 6th Floor Math Conference Room 524 West 59th. Street New York NY 10019 United States;X-APPLE-RADIUS=500;X-TITLE=524 West 59th. Street:geo:-73.9892342,40.7707237
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20170207T080000
DTEND;TZID=America/New_York:20170207T100000
DTSTAMP:20260421T111158
CREATED:20170111T235016Z
LAST-MODIFIED:20170112T011953Z
UID:358-1486454400-1486461600@nycdh.org
SUMMARY:Sampling for the Digital Humanities
DESCRIPTION: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 to test if your sample is big enough to generalize! \nSkill Level\nIntermediate \nPrerequisites\nNone \nEquipment Requirements\nNone\, laptop and data if available
URL:https://nycdh.org/dhweek/event/sampling-for-the-digital-humanities/
LOCATION:NYU XE: Experimental Humanities and Social Enagement\, Conference Room\, 24 E 8th St.\, New York\, NY\, 10003\, United States
CATEGORIES:Intermediate,Statistics,Visualization
ORGANIZER;CN="Angus Grieve-Smith":MAILTO:angus@grieve-smith.com
GEO:40.73169;-73.995173
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=NYU XE: Experimental Humanities and Social Enagement Conference Room 24 E 8th St. New York NY 10003 United States;X-APPLE-RADIUS=500;X-TITLE=24 E 8th St.:geo:-73.995173,40.73169
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20160211T130000
DTEND;TZID=America/New_York:20160211T153000
DTSTAMP:20260421T111158
CREATED:20151208T213552Z
LAST-MODIFIED:20161122T220728Z
UID:74-1455195600-1455204600@nycdh.org
SUMMARY:Understanding Numbers: Basics of Statistical Literacy
DESCRIPTION:Math and statistics bring about fear and apprehension in many humanities and social science students\, yet these skills are often required for research and effective evidence-based practice. This workshop aims to introduce humanities students to basic statistical concepts\, various types of qualitative data\, and methods of data analysis. The workshop will be taught by a humanities major turned social scientist and will employ statistical methods while using illustrations and exercises from the humanities.
URL:https://nycdh.org/dhweek/event/understanding-numbers-basics-of-statistical-literacy/
LOCATION:School of Information\, Pratt Institute\, Room 609\, Pratt Institute\, School of Information\, 144 W 14th Street\, New York\, NY 10011\, Room 609
CATEGORIES:Advanced,Beginner,Digital Humanities,Intermediate,Statistics
ORGANIZER;CN="Irene Lopatovska":MAILTO:ilopatov@pratt.edu
END:VEVENT
END:VCALENDAR