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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220211T130000
DTEND;TZID=America/New_York:20220211T150000
DTSTAMP:20260531T161119
CREATED:20220125T210812Z
LAST-MODIFIED:20220210T144758Z
UID:6960-1644584400-1644591600@nycdh.org
SUMMARY:Python - A Gentle Introduction
DESCRIPTION:A very beginner friendly introduction to Python for the humanities. We will cover basic tools and installation methods\, as well as how Python can be used to sort through messy information and automate simple and repetitive tasks. Brief examples will be covered\, and we’ll talk about how to explore and learn in the future. There will be a lot of room for questions and discussion.
URL:https://nycdh.org/dhweek/event/python-a-gentle-introduction/
LOCATION:Online\, New York\, NY\, United States
CATEGORIES:2022,Beginner,Data Management,Programming Languages,Python,Workshop
ORGANIZER;CN="Katie Wolf":MAILTO:kwolf9@fordham.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220211T100000
DTEND;TZID=America/New_York:20220211T120000
DTSTAMP:20260531T161119
CREATED:20220125T210214Z
LAST-MODIFIED:20220127T185020Z
UID:6947-1644573600-1644580800@nycdh.org
SUMMARY:Pandas: The Bare Basics
DESCRIPTION: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 Jupyter Notebook environment. We’ll learn about the two main data structures in Pandas\, the series and the dataframe\, reading from and writing to file\, indexing data (including boolean indexing)\, and describing data. If we have time\, we may even make a chart! This workshop is not recommended for those already experienced with Pandas\, we’ll be staying firmly in a beginner-friendly zone.
URL:https://nycdh.org/dhweek/event/pandas-the-bare-basics/
LOCATION:Online\, New York\, NY\, United States
CATEGORIES:2022,Beginner,Data Management,Visualization,Workshop
ORGANIZER;CN="Patrick Smyth":MAILTO:patricksmyth01@gmail.com
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220210T110000
DTEND;TZID=America/New_York:20220210T130000
DTSTAMP:20260531T161119
CREATED:20220128T034149Z
LAST-MODIFIED:20220209T145456Z
UID:7120-1644490800-1644498000@nycdh.org
SUMMARY:Open Refine for Beginners
DESCRIPTION:Looking to organize and rearrange a large spreadsheet for a project? Join us for an interactive\, step-by-step introduction to OpenRefine\, an open source desktop application described as “a powerful tool for working with messy data.” This session will cover OpenRefine basics including editing and reconciling data\, transforming data into different formats\, and connecting to external data sources like Wikidata and Getty Vocabularies.
URL:https://nycdh.org/dhweek/event/open-refine-for-beginners/
LOCATION:Online\, New York\, NY\, United States
CATEGORIES:2022,Data Management,Workshop
ORGANIZER;CN="Tierney Gleason":MAILTO:tgleason11@fordham.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210211T100000
DTEND;TZID=America/New_York:20210211T120000
DTSTAMP:20260531T161119
CREATED:20210119T173109Z
LAST-MODIFIED:20210208T193853Z
UID:5415-1613037600-1613044800@nycdh.org
SUMMARY:Using Google Sheets to Create\, Organize and Explore Your Humanities Data
DESCRIPTION:Google Sheets is a web-based spreadsheet program\, equivalent in some ways to Microsoft Excel\, with a wide array of features and uses. For people who would like to embark on a digital humanities project\, it is one of many options for organizing data. \nThis workshop is aimed at total beginners and will introduce a few ways to facilitate automatic data entry\, organization\, and visualization on Google Sheets. The skills presented in this workshop are suitable for anyone working with spreadsheets\, and apply for any project in which there is repeated information (names\, places\, objects\, dates). We will learn to sort and filter data\, auto-populate cells\, and organize sheets visually. \nThe workshop is in three parts: first\, an overview of Google Sheets and potential use cases (e.g.\, art exhibitions over time\, books authored by a publishing house); second\, a detailed explanation of some of Google Sheets’ features (Code Tables\, Data Validation\, Conditional Formatting\, VLookup\, Column Stats and Filters\, and Pivot Tables); and third\, a walkthrough of these tools using a sample data set. Participants can follow along with the walkthrough by using their own data or the sample set provided. \nPrerequisites: Basic familiarity with Google Sheets or Excel.\nThe course will be carried out using Google Sheets. You will be added to a shared sheet using the email address that you provide for the registration\, so a Google account is required. Participants can also observe the process without using the Sheets and can use their own data set to practice the skills learned.
URL:https://nycdh.org/dhweek/event/using-google-sheets-to-create-organize-and-explore-your-humanities-data/
LOCATION:Virtual\, NY\, United States
CATEGORIES:2021,Beginner,Data Management,WIDH2021
ORGANIZER;CN="Nada Ammagui":MAILTO:nada.ammagui@nyu.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210210T130000
DTEND;TZID=America/New_York:20210210T150000
DTSTAMP:20260531T161119
CREATED:20210122T050657Z
LAST-MODIFIED:20210122T161958Z
UID:5565-1612962000-1612969200@nycdh.org
SUMMARY:OpenRefine for Beginners
DESCRIPTION:Looking to organize and rearrange a large spreadsheet for a project? Join us for an interactive\, step-by-step introduction to OpenRefine\, an open source desktop application described as “a powerful tool for working with messy data.” This session will cover OpenRefine basics including editing and reconciling data\, transforming data into different formats\, and connecting to external data sources like Wikidata. \nEquipment/Software Requirements: A computer (running Windows\, Mac\, or Linux operating systems) with OpenRefine 3.4.1 and Google Chrome installed. We can try to guide participants through installation at the beginning of the workshop if needed. A sample data set will be provided for exercises and experimentation.
URL:https://nycdh.org/dhweek/event/openrefine-for-beginners-2/
LOCATION:Virtual\, NY\, United States
CATEGORIES:2021,Beginner,Data Management
ORGANIZER;CN="Tierney Gleason":MAILTO:tgleason11@fordham.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20200207T130000
DTEND;TZID=America/New_York:20200207T150000
DTSTAMP:20260531T161119
CREATED:20200117T153300Z
LAST-MODIFIED:20200127T192621Z
UID:3995-1581080400-1581087600@nycdh.org
SUMMARY:OpenRefine for Beginners
DESCRIPTION:Looking to organize and rearrange a large spreadsheet for a project? Join us for an interactive\, step-by-step introduction to OpenRefine\, an open source desktop application described as “a powerful tool for working with messy data.” This session will cover OpenRefine basics including editing and reconciling data\, transforming data into different formats\, and connecting to external data sources like Wikidata. \nEquipment Requirements: Participants will need to bring a laptop with OpenRefine 3.3 and Google Chrome installed. We can guide participants through installation at the beginning of the workshop if needed. Sample data sets will be provided.
URL:https://nycdh.org/dhweek/event/openrefine-for-beginners/
LOCATION:Fordham Lincoln Center\, Quinn Library Room 234\, 113 W 60th Street\, New York\, NY\, 10023\, United States
CATEGORIES:Beginner,Data Management
ORGANIZER;CN="Tierney Gleason":MAILTO:tgleason11@fordham.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20200206T150000
DTEND;TZID=America/New_York:20200206T170000
DTSTAMP:20260531T161119
CREATED:20200121T164837Z
LAST-MODIFIED:20200121T164837Z
UID:4081-1581001200-1581008400@nycdh.org
SUMMARY:Translating Questions into Actionable Research
DESCRIPTION:Researchers are often driven by a hunch\, a practical problem or a gap in existing knowledge. However\, successfully translating research questions into data collection and analysis methods requires skills and experience. This workshop will review commonly used methods for collecting primary sources data (questionnaires\, interviews\, observations)\, as well as qualitative and quantitative approaches to data analysis. At the end of the workshop\, participants will have a better understanding of methodological options and issues that affect their research inquiries.
URL:https://nycdh.org/dhweek/event/translating-questions-into-actionable-research/
LOCATION:Pratt Manhattan Center\, Room 610\, 144 West 14th\, Room 610\, New York\, NY\, 10011\, United States
CATEGORIES:Beginner,Data Management,Research
ORGANIZER;CN="Irene Lopatovska":MAILTO:ilopatov@pratt.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20200206T150000
DTEND;TZID=America/New_York:20200206T170000
DTSTAMP:20260531T161119
CREATED:20200117T163449Z
LAST-MODIFIED:20200117T163449Z
UID:4022-1581001200-1581008400@nycdh.org
SUMMARY:Critical Data Methods: Theory & Praxis
DESCRIPTION:Whether in the classroom or archive\, humanities scholars and students often encounter data methods as means to an end. Processes like data modeling\, analysis\, and visualization — sometimes represented by particular applications or technologies — populate the proverbial DH toolbox\, equipping practitioners to pursue data-driven research and project-based learning curricula. But\, while these data-oriented skills and tools frequently facilitate incredible research and classroom practice\, they aren’t always accompanied by a robust critical framework that centers historical\, ethical\, and justice-oriented concerns. \nIn this workshop\, we will approach basic concepts in data (including data taxonomies and applications) from a critical data studies perspective. Rather than taking a tool- or software-oriented approach\, we will collaborate on ways to “do” and teach data that are informed by feminist\, critical race\, and indigenous theories of information. Keeping in mind this year’s theme — “Histories and Representations of Communities Across the Five Boroughs” — we will engage with local archival materials and other humanities content in order to develop data praxes that are situated and self-reflective. \nParticipants can expect to: \n\nbecome familiar with types of data\, including structured and unstructured data\nthink critically about ways to model their research or teaching data\nbegin to explore key theorists and concepts in critical data studies\, including data feminism\nparticipate in an exercise that enacts critical data pedagogy by bringing humanities methods to data modeling\nsituate their own use of data within historical and epistemological matrices\ncollaborate on a shared document featuring critical data resources\n\nThis workshop is designed for humanities scholars and students who are interested in pursuing data-driven work and who want to develop critical — rather than purely instrumental — data practices. Instructors and researchers who already work extensively with data are also welcome\, regardless of discipline! \nEquipment Requirements: Laptop recommended (Chromebooks OK) \n 
URL:https://nycdh.org/dhweek/event/critical-data-methods-theory-praxis/
LOCATION:NYU\, 244 Greene Street\, 1st Floor Event Space\, 244 Greene Street\, New York\, NY\, 10003\, United States
CATEGORIES:Beginner,Data Management
ORGANIZER;CN="Grace Afsari-Mamagani":MAILTO:gam351@nyu.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20200205T150000
DTEND;TZID=America/New_York:20200205T170000
DTSTAMP:20260531T161119
CREATED:20200117T161439Z
LAST-MODIFIED:20200127T153809Z
UID:4013-1580914800-1580922000@nycdh.org
SUMMARY:Introduction to OpenRefine
DESCRIPTION:OpenRefine is a popular open-source application for data analysis\, clean up\, and enrichment. It can help you prepare your digital humanities dataset for further analysis and visualization through: \n\ntext filters and facets\nbatch editing\nassisted clustering of terms\nsplitting and merging values\nadvanced transformations\, such as regular expressions\n\nIt also allows you to export your operation history\, which helps with research reproducibility. \nIn this beginner-level workshop\, we’ll cover the basic features and functionalities of OpenRefine\, with a taste of more advanced operations using GREL (General Refine Expression Language) and regular expressions. We’ll also have a discussion about how data cleaning fits into our digital humanities work\, inspired by Katie Rawson and Trevor Muñoz’s article “Against Cleaning” (http://curatingmenus.org/articles/against-cleaning/). \nEquipment Requirements: If possible\, please bring your own laptop. Some laptops will be available to borrow on site. If you will be using your own laptop\, please install the latest stable version of OpenRefine (available at http://openrefine.org/download.html) ahead of time. Workshop datasets will be made available for download closer to the date of the sessions.
URL:https://nycdh.org/dhweek/event/introduction-to-openrefine/
LOCATION:Bobst Library\, NYU\, Room 743\, 70 Washington Square South\, New York\, NY\, 10012\, United States
CATEGORIES:Data Management
ORGANIZER;CN="Alexandra Alisa Provo":MAILTO:alexandra.provo@nyu.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20200205T100000
DTEND;TZID=America/New_York:20200205T120000
DTSTAMP:20260531T161119
CREATED:20200123T185425Z
LAST-MODIFIED:20200128T184637Z
UID:4240-1580896800-1580904000@nycdh.org
SUMMARY:Text as Data in the Humanities
DESCRIPTION:An introduction to computational text analysis for literature with basic introduction to software packages. This workshop is a primer for working with text as data in the humanities. This workshop will cover: gathering text corpora\, data cleaning\, an introduction to some computational software tools\, reading the output and analysis of topic modeling and cluster analysis\, and a general overview of common questions asked in computational literary studies. \nTo register for this event please use the following link: https://nyu.libcal.com/event/6431701
URL:https://nycdh.org/dhweek/event/text-as-data-in-the-humanities-2/
LOCATION:Bobst Library\, NYU\, Room 617\, 70 Washington Square South\, New York\, NY\, 10012\, United States
CATEGORIES:Data Management,Text Analysis
ORGANIZER;CN="Casey Hampsey":MAILTO:ch3080@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:20200204T180000
DTEND;TZID=America/New_York:20200204T200000
DTSTAMP:20260531T161119
CREATED:20200117T185620Z
LAST-MODIFIED:20200204T194316Z
UID:4029-1580839200-1580846400@nycdh.org
SUMMARY:An Introduction to Wikidata
DESCRIPTION:This workshop has been cancelled due to unforeseen circumstances. Please accept our apologies for this late notice.\nIf Wikipedia aims to provide access to the sum of all human knowledge\, Wikidata aims to structure it. The newest project of the Wikimedia movement\, Wikidata is a collaboratively edited\, free repository of linked open data that connects knowledge across all 301 language editions of Wikipedia and its sister projects. This workshop will introduce attendees to Wikidata and its applications to the digital humanities\, with opportunities for hands-on editing. \nEquipment Requirements: laptop
URL:https://nycdh.org/dhweek/event/an-introduction-to-wikidata-2/
LOCATION:METRO\, 599 11th Avenue\, 8th floor\, New York\, NY\, 10036\, United States
CATEGORIES:Data Management,wikipedia
ORGANIZER;CN="Megan Wacha":MAILTO:megan@wikimedianyc.org
GEO:40.573477;-74.1187026
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=METRO 599 11th Avenue 8th floor New York NY 10036 United States;X-APPLE-RADIUS=500;X-TITLE=599 11th Avenue\, 8th floor:geo:-74.1187026,40.573477
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20190206T130000
DTEND;TZID=America/New_York:20190206T150000
DTSTAMP:20260531T161119
CREATED:20190120T190339Z
LAST-MODIFIED:20190124T035618Z
UID:2635-1549458000-1549465200@nycdh.org
SUMMARY:Using IMDb as a Dataset for Digital Humanities
DESCRIPTION: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 and gives media studies scholars a new way to use Digital Humanities. The organization makes it free to download a great deal of its very robust data. However much of IMDb’s data is inconsistent\, incomplete\, and often wrong or misleading. The downloadable information is also limited to certain categories. This presentation will also discuss the challenges of interdisciplinary work\, and how changes in IMDb’s process over several years\, and differing views available to scholars can also create issues as we have found in our project tracing connections using the show Seinfeld. \nRequirements: none.
URL:https://nycdh.org/dhweek/event/using-imdb-as-a-dataset-for-digital-humanities/
LOCATION:SUNY-Empire State College Manhattan\, 325 Hudson Street 3rd floor\, Room 320\, New York\, NY\,  10013
CATEGORIES:Advanced,Beginner,Data Management,Intermediate,Visualization
ORGANIZER;CN="Cindy Conaway":MAILTO:Cindy.Conaway@esc.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20170209T130000
DTEND;TZID=America/New_York:20170209T160000
DTSTAMP:20260531T161119
CREATED:20170115T085851Z
LAST-MODIFIED:20170115T085851Z
UID:635-1486645200-1486656000@nycdh.org
SUMMARY:Dealing with Messy Data using Open Refine and other tools
DESCRIPTION:The raw data received or compiled for an analysis project is often messy\, inconsistent\, or in the wrong format. Learn how to use Google Open Refine and Microsoft Excel to transform data into the structure you need to conduct analysis and successfully complete your project. \nSkill Level\nBeginner \nPrerequisites\nNone \nEquipment Requirements\nLaptop with Open Refine installed
URL:https://nycdh.org/dhweek/event/dealing-with-messy-data-using-open-refine-and-other-tools/
LOCATION:Pratt Manhattan Center\, Room 612\, 144 West 14th\, New York\, NY\, 10011\, United States
CATEGORIES:Beginner,Data Management,Editing
ORGANIZER;CN="Heather Seminelli":MAILTO:heather.seminelli@usma.edu
GEO:40.7380726;-73.9989803
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Pratt Manhattan Center Room 612 144 West 14th New York NY 10011 United States;X-APPLE-RADIUS=500;X-TITLE=144 West 14th:geo:-73.9989803,40.7380726
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20170208T080000
DTEND;TZID=America/New_York:20170208T100000
DTSTAMP:20260531T161119
CREATED:20170123T045842Z
LAST-MODIFIED:20170123T045922Z
UID:837-1486540800-1486548000@nycdh.org
SUMMARY:Sustaining and Growing your DH Projects
DESCRIPTION:What does it take for a DH project to go from concept to community treasure? While some DH projects are purely experimental\, many project leaders are eager to see their work grow and develop over time and become useful to a significant community of scholars and students. \nThis workshop will introduce digital project leaders to the basics of dynamic sustainability\, the notion that for a project to continue to grow and develop over time\, its leaders must create and encourage an ongoing cycle of support. Using examples of success stories from the field\, the session will offer an outline of some practical steps you can take to develop a reliable sustainability model\, exploring the role of audience\, the host institution\, and the potential for a range of revenue sources. Participants at all stages of work\, from developing proposals to running established projects\, are encouraged to attend. \nWorkshop leader Nancy Maron is author of Sustaining the Digital Humanities\, Guide to the Best Revenue Models and Funding Sources for your Digital Resources\, and several other reports and case studies concerning strategies for DH support. Prior to founding BlueSky to BluePrint\, she led the Sustainability and Scholarly Communications team at Ithaka S+R. She currently serves as President of the Board of the Yonkers Public Library. \nSkill Level\nBeginner \nPrerequisites\nNone \nEquipment Requirements\nNone \n 
URL:https://nycdh.org/dhweek/event/sustaining-and-growing-your-dh-projects/
LOCATION:NYU XE: Experimental Humanities and Social Enagement\, Conference Room\, 24 E 8th St.\, New York\, NY\, 10003\, United States
CATEGORIES:Beginner,Data Management
ORGANIZER;CN="Nancy Maron":MAILTO: nancy@blueskytoblueprint.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
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