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 BEGIN:DAYLIGHT TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:EDT DTSTART:20200308T070000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0400 TZOFFSETTO:-0500 TZNAME:EST DTSTART:20201101T060000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:EDT DTSTART:20210314T070000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0400 TZOFFSETTO:-0500 TZNAME:EST DTSTART:20211107T060000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:EDT DTSTART:20220313T070000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0400 TZOFFSETTO:-0500 TZNAME:EST DTSTART:20221106T060000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:EDT DTSTART:20230312T070000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0400 TZOFFSETTO:-0500 TZNAME:EST DTSTART:20231105T060000 END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTART;TZID=America/New_York:20220210T100000 DTEND;TZID=America/New_York:20220210T120000 DTSTAMP:20260420T223616 CREATED:20220125T205947Z LAST-MODIFIED:20220209T145341Z UID:6940-1644487200-1644494400@nycdh.org SUMMARY:Collecting Twitter Data for Research DESCRIPTION:This workshop presents a few of the best and most approachable tools for collecting Twitter data for research. We’ll also address the kinds of information we can glean from social media data as well as several important factors and limitations to consider when doing social media research. URL:https://nycdh.org/dhweek/event/collecting-twitter-data-for-research-2/ LOCATION:Online\, New York\, NY\, United States CATEGORIES:2022,Beginner,Social Media,Twitter,Workshop ORGANIZER;CN="Francesca Giannetti":MAILTO:francesca.giannetti@rutgers.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20210210T180000 DTEND;TZID=America/New_York:20210210T200000 DTSTAMP:20260420T223616 CREATED:20210122T050655Z LAST-MODIFIED:20210127T135723Z UID:5560-1612980000-1612987200@nycdh.org SUMMARY:Collecting Twitter Data for Research DESCRIPTION:Twitter data provide researchers with a real-time view into a wide variety of social and cultural topics. In this workshop\, we’ll explore beginning and intermediate tools for collecting social media data from Twitter. \nAttendees will need a Google/Gmail account\, a Twitter account\, and an Rstudio Cloud account (free) \nPrerequisites: A Google/Gmail account\, a Twitter account\, an Rstudio Cloud account (free) URL:https://nycdh.org/dhweek/event/collecting-twitter-data-for-research/ LOCATION:Virtual\, NY\, United States CATEGORIES:2021,Beginner,Social Media ORGANIZER;CN="Francesca Giannetti":MAILTO:francesca.giannetti@rutgers.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20200204T100000 DTEND;TZID=America/New_York:20200204T120000 DTSTAMP:20260420T223616 CREATED:20200127T082013Z LAST-MODIFIED:20200203T154200Z UID:4401-1580810400-1580817600@nycdh.org SUMMARY:Exploring Immersive & Spatial Technology for the Humanities DESCRIPTION:Join this session to explore new virtual and augmented reality tools and examples and hear from two practitioners and teachers at CUNY\, Dominika Ksel and Andrew Demirjian. We’ll look at everything from 3D model and video capture to augmented reality that works in a smartphone web browser. These tools can be applied to research\, public engagement and teaching.\nDominika Ksel is an interdisciplinary artist\, activist and teaches at Baruch and Hunter.\nAndrew Demirjian teaches theory and production courses in emerging media in the Film and Media Department and the Integrated Media Arts MFA program at Hunter College\, he is currently a Fellow at the MIT Open Documentary Lab.\nMatt MacVey is the Academic Program Specialist for the AR/VR Journalism Lab at the Newmark Graduate School of Journalism.\n\nEquipment requirements: Smartphone URL:https://nycdh.org/dhweek/event/exploring-immersive-spatial-technology-for-the-humanities/ LOCATION:Newmark Graduate School of Journalism\, Room 444\, 219 W 40th St\, Fl 3\, New York\, NY\, 10018 CATEGORIES:Augmented Reality,Beginner,Social Media,Virtual Reality ORGANIZER;CN="Matt MacVey":MAILTO:matthew.macvey@journalism.cuny.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20190208T120000 DTEND;TZID=America/New_York:20190208T140000 DTSTAMP:20260420T223616 CREATED:20190120T182320Z LAST-MODIFIED:20190124T172730Z UID:2606-1549627200-1549634400@nycdh.org SUMMARY:Social Media Scraping for Qualitative Research DESCRIPTION:Learn small-scale web scraping of social media for qualitative analysis by using Ncapture and NVivo \nRequirements: Attendees should have a Twitter account. URL:https://nycdh.org/dhweek/event/social-media-scraping-for-qualitative-research-4/ LOCATION:Bobst Library\, NYU\, Room 617\, 70 Washington Square South\, New York\, NY\, 10012\, United States CATEGORIES:Beginner,Social Media ORGANIZER;CN="Sarah DeMott":MAILTO:sarah.demott@nyu.edu GEO:40.7294345;-73.9972124 X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Bobst Library NYU Room 617 70 Washington Square South New York NY 10012 United States;X-APPLE-RADIUS=500;X-TITLE=70 Washington Square South:geo:-73.9972124,40.7294345 END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20190207T150000 DTEND;TZID=America/New_York:20190207T170000 DTSTAMP:20260420T223616 CREATED:20190120T184634Z LAST-MODIFIED:20190130T203809Z UID:2623-1549551600-1549558800@nycdh.org SUMMARY:Multimedia Scholarship: Project-oriented and Alternative Forms of Academic Writing DESCRIPTION: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 workshop can be customized as much as possible. \nRequirements: Attendees encouraged to bring their laptop and smartphone\, but it is not required. URL:https://nycdh.org/dhweek/event/multimedia-scholarship/ LOCATION:Tisch School of the Arts: Cinema Studies Department\, Room 670\, 721 Broadway\, New York\, NY\, 10003\, United States CATEGORIES:Beginner,Collaboration,Pedagogy,Social Media,Visualization ORGANIZER;CN="Marina Hassapopoulou":MAILTO:mh193@nyu.edu GEO:40.7295255;-73.9938442 X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Tisch School of the Arts: Cinema Studies Department Room 670 721 Broadway New York NY 10003 United States;X-APPLE-RADIUS=500;X-TITLE=721 Broadway:geo:-73.9938442,40.7295255 END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20190206T183000 DTEND;TZID=America/New_York:20190206T203000 DTSTAMP:20260420T223616 CREATED:20190120T191607Z LAST-MODIFIED:20190203T132947Z UID:2646-1549477800-1549485000@nycdh.org SUMMARY:Introduction to Network Analysis with Python DESCRIPTION:Networks are increasingly common aspects of contemporary life: social networks\, transportation networks\, information networks\, citation networks\, and more. Networks consist of nodes (individual people or things) and edges (links\, relationships\, or interactions) that connect them. Researchers increasingly use network analysis to investigate the structures and connective relationships of networks relevant to their discipline. In this workshop\, you will learn foundational concepts of network analysis\, be introduced to basic tools for conducting network analysis\, and practice producing a graph visualization using a real database. \nRequirements: Participants are encouraged to bring their own laptop but we will have laptops available to loan out. \n  URL:https://nycdh.org/dhweek/event/introduction-to-network-analysis/ LOCATION:CUNY Graduate Center\, Room C201\, 365 Fifth Avenue\, New York\, NY\, 10016\, United States CATEGORIES:Beginner,Networks,Social Media ORGANIZER;CN="Patrick Sweeney":MAILTO:gc.digitalfellows@gmail.com GEO:40.7486485;-73.984007 X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=CUNY Graduate Center Room C201 365 Fifth Avenue New York NY 10016 United States;X-APPLE-RADIUS=500;X-TITLE=365 Fifth Avenue:geo:-73.984007,40.7486485 END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20180207T160000 DTEND;TZID=America/New_York:20180207T180000 DTSTAMP:20260420T223616 CREATED:20180118T204622Z LAST-MODIFIED:20180207T172213Z UID:1627-1518019200-1518026400@nycdh.org SUMMARY:Social Media Scraping for Qualitative Research DESCRIPTION:Interested in incorporating social media content into your qualitative research project? This workshop will introduce the basics of using small-scale web scraping of social media for qualitative analysis. Using NCapture\, a web browser extension\, and NVivo\, a qualitative analysis software package\, this session will focus on methods to incorporate the context from web pages\, online PDFs\, and social media into your research design. Presenters will provide detailed examples for importing and coding Facebook and Twitter data using the NVivo software platform. In addition\, discussions may include topics such as collecting\, storing\, and reporting social media data as academic researchers. Brief overview of aims of Qualitative Research and NVivo Software will be provided. Please note that this workshop will not cover larger data sets and web scraping using tools like Python or R. Introductory level. \nLEVEL: Beginner\nNOTES: N/A URL:https://nycdh.org/dhweek/event/social-media-scraping-for-qualitative-research-3/ LOCATION:Bobst Library\, NYU\, Room 617\, 70 Washington Square South\, New York\, NY\, 10012\, United States CATEGORIES:Beginner,Social Media,Text Analysis ORGANIZER;CN="Sarah DeMott":MAILTO:sarah.demott@nyu.edu GEO:40.7294345;-73.9972124 X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Bobst Library NYU Room 617 70 Washington Square South New York NY 10012 United States;X-APPLE-RADIUS=500;X-TITLE=70 Washington Square South:geo:-73.9972124,40.7294345 END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20180207T150000 DTEND;TZID=America/New_York:20180207T170000 DTSTAMP:20260420T223616 CREATED:20180118T202251Z LAST-MODIFIED:20180207T172137Z UID:1599-1518015600-1518022800@nycdh.org SUMMARY:Analyzing Twitter Data for Beginners DESCRIPTION:Interested in analyzing conversations on Twitter but don’t know where to start? This workshop will demonstrate how to use TAGS \, an open source tool developed by Martin Hawksey to collect and visualize Twitter data as it happens. Aimed at novice users\, this session will experiment with small datasets generated from Twitter conversations under specific hashtags. All that is needed to participate is a Twitter account\, a Gmail account\, and a personal laptop. Resources regarding the restrictions and ethics of working with social media data will also be presented. \nLEVEL: Beginner\nNOTES: Bring your own laptop. Must have your own Twitter & Gmail accounts to participate. URL:https://nycdh.org/dhweek/event/analyzing-twitter-data-for-beginners/ LOCATION:Fordham Lincoln Center\, Quinn Library Room 234\, 113 W 60th Street\, New York\, NY\, 10023\, United States CATEGORIES:Beginner,Social Media,Text Analysis ORGANIZER;CN="Tierney Gleason":MAILTO:tgleason11@fordham.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20180206T090000 DTEND;TZID=America/New_York:20180206T110000 DTSTAMP:20260420T223616 CREATED:20180118T201816Z LAST-MODIFIED:20180123T052710Z UID:1596-1517907600-1517914800@nycdh.org SUMMARY:The Pedagogical Value of Social Annotation DESCRIPTION:Come and learn how Fordham University faculty are using social annotation (Lacuna Stories) to enhance student comprehension and engagement with course texts. Explore a reading using Lacuna Stories in this workshop\, and see how this tool from Stanford University can help faculty better prepare for class discussions\, and assess student engagement with course texts. \nLEVEL: Beginner\nNOTES: Personal laptop would be nice to bring URL:https://nycdh.org/dhweek/event/the-pedagogical-value-of-social-annotation/ LOCATION:Fordham Lincoln Center\, Lowenstein 309\, 113 W 60th Street\, New York\, NY\, 10023\, United States CATEGORIES:Beginner,Pedagogy,Social Media ORGANIZER;CN="Shawn Hill":MAILTO:shill18@fordham.edu GEO:40.7702955;-73.9846324 X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Fordham Lincoln Center Lowenstein 309 113 W 60th Street New York NY 10023 United States;X-APPLE-RADIUS=500;X-TITLE=113 W 60th Street:geo:-73.9846324,40.7702955 END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20170209T080000 DTEND;TZID=America/New_York:20170209T100000 DTSTAMP:20260420T223616 CREATED:20170112T000237Z LAST-MODIFIED:20170112T105827Z UID:370-1486627200-1486634400@nycdh.org SUMMARY:Social Media Scraping for Qualitative Research DESCRIPTION:Interested in incorporating social media content into your qualitative research project?  This workshop will introduce the basics of using small-scale web scraping of social media for qualitative analysis.   Using NCapture\, a web browser extension\, and NVivo\, a qualitative analysis software package\, this session will focus on methods to incorporate the context from web pages\, online PDFs\, and social media into your research design.   Presenters will provide detailed examples for importing and coding Facebook and Twitter data using the NVivo software platform.  In addition\, discussions may include topics such as collecting\, storing\, and reporting social media data as academic researchers. Brief overview of aims of Qualitative Research and NVivo Software will be provided.  Please note that this workshop will not cover larger data sets and web scraping using tools like Python or R.  Introductory level. \nSkill Level\nBeginner \nPrerequisites\nNone \nEquipment Requirements\nNone URL:https://nycdh.org/dhweek/event/social-media-scraping-for-qualitative-research-2/ LOCATION:Bobst Library\, NYU\, Room 617\, 70 Washington Square South\, New York\, NY\, 10012\, United States CATEGORIES:Beginner,Social Media ORGANIZER;CN="Sarah DeMott":MAILTO:sarah.demott@nyu.edu GEO:40.7294345;-73.9972124 X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Bobst Library NYU Room 617 70 Washington Square South New York NY 10012 United States;X-APPLE-RADIUS=500;X-TITLE=70 Washington Square South:geo:-73.9972124,40.7294345 END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20160210T090000 DTEND;TZID=America/New_York:20160210T110000 DTSTAMP:20260420T223616 CREATED:20151208T212805Z LAST-MODIFIED:20161122T220939Z UID:65-1455094800-1455102000@nycdh.org SUMMARY:Social Media Scraping with the Twitter API DESCRIPTION:This workshop will introduce the Twitter API\, a way of programmatically interacting with the Twitter platform\, and will place a particular emphasis on gathering data for textual\, sociological\, or linguistic analysis. Some knowledge of Python will be helpful\, but is not strictly necessary. This workshop will be led by GC Digital Fellows Patrick Smyth and Jennifer Tang. \n\n\n\n\nWednesday\, February 10\, 2016 from 2:00 PM to 4:00 PM (EST \nThe Graduate Center at CUNY – 365 5th Avenue. Room TBA. New York\, NY 10016 URL:https://nycdh.org/dhweek/event/introduction-to-web-scraping-social-media/ LOCATION:CUNY Graduate Center\, Room TBD\, 365 Fifth Avenue\, Room TBD\, New York\, NY\, 10016\, United States CATEGORIES:Programming Languages,Social Media ORGANIZER;CN="Lisa Rhody":MAILTO:lisarhody.gc@gmail.com GEO:40.7486485;-73.984007 X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=CUNY Graduate Center Room TBD 365 Fifth Avenue Room TBD New York NY 10016 United States;X-APPLE-RADIUS=500;X-TITLE=365 Fifth Avenue\, Room TBD:geo:-73.984007,40.7486485 END:VEVENT END:VCALENDAR