Announcements

1. The Extra Credit Post has been corrected with the right ESRI Map link.
2. Spring 2019 Research Assistant Posting:  The Artist Archive Initiative at NYU seeks a graduate student Research Assistant for the Spring of 2019. The student will perform research on the artist Joan Jonas to develop information regarding curating and conserving her work. We are looking for a motivated graduate student who is interested in questions surrounding the disposition of contemporary art in museum collections. Experience with archival research, museum work, and the work of artist Joan Jonas is preferred. The student will work independently and hold weekly meetings with project advisors. Terms: late January – May, 85 Hours @ $20/ Hr (schedule to be arranged with successful applicant). Applicants must be enrolled in a humanities graduate program at New York University. Please send brief statement of research interests, curriculum vitae and a writing sample along with any questions to Glenn Wharton <glenn.wharton@nyu.edu> by December 18, 2018.

Agenda

• Course Evaluation Time: Search for “DIGITAL MEDIA SPECIAL TOPICS – DATA VISUALIZATION FOR THE COM” in your email to find the URL.
• Brief Check-in
• Planning for next week:
  • Any food allergies? I will bring dumplings and other food.
  • Please remind your community partner; I will also send them a calendar invite that includes a hangout link.
  • CSforAll will go first, due to community partner requests.
• Work Time & 1-on-1s with Prof A
• Schedule for Next Week:
  • 3:30 – 3:40 Introductions and Dumplings
    3:40 – 4:05: CSforAll, Group 1
    4:05 – 4:30: CSforAll, Group 2
    4:30 – 4:55: MIT CREATE
    4:55 – 5:20: Multimer / Associated Press
    5:20 – 5:45: BrainPOP
    5:45 – 6:00 Extra Credit Projects: NYU Activism 2017; Boston Housing Authority
    6:00 – 6:20: Final Remarks and More Dumplings
• Some Thoughts to Consider as You Wrap Up

Next Week’s Assignments

1. Be prepared to give a 10-17 minute final presentation next week in which you summarize and/or show
   • the community partner and your interest in the work
   • research questions that the data is meant to answer
   • iterations of your visualization(s), leading to a demonstration of the final visualization(s)
   • challenges you encountered
   • conclusions and answers to research questions
   • next steps (if this visualization development was to continue)
2. Finish Project 3, revise the Phase 2 paper, and link to these on your blog. The Project 3 sample grade sheet is here. Note: I will check that these links are online next Thursday during class, but you have until December 17 to continue revising your project. Grades will be submitted on December 18.
3. To ensure a strong grade, also consider:
   • Checking that you have at least 9 weekly posts for the class (not including your Phase 1, 2, and 3 project posts). To ensure that I count each post properly, considering labeling and numbering the weekly posts very clearly, e.g. “Weekly Post #8: My Interesting Thoughts.”
   • Creating a polished web page for your Phase 3 project–something your community partner could use for their evaluation and presentation of your data visualization. (In the case of CSforALL, 1 page for both projects would probably make more sense.)
   • Consider the Extra Credit Assignments. Please let me know if you do this so I can make sure you’re not doing work that overlaps with the work of other students.

Two Extra Credit Opportunities

(will give you up to 5 extra points on your final grade)

Successful completion of each opportunity will give you 2.5 extra credit points on your final grade–so completing both will give you almost half a letter grade! Please email me if you start working on either of these.

1. Create a CARTO Map of 1 or more year(s) of Boston Housing Authority data. (Here’s an example I set up using August 2007 data, but you can certainly do better!)
   • The data is located in the XLSX file in this directory (2007-2018). You’ll have to pull 1 year out of this data.
   • So that everyone works on a different year, here are the years divvied up per person:
     • 2008: Evelyn
     • 2009: Evelyn
     • 2010: Steven
     • 2011: Zhenwen
     • 2012: Simin
     • 2013: Simin
     • 2014: Yan
     • 2015: Richelle
     • 2016: Emilie
     • 2017: Simin
     • 2018: Simin
2. Contribute at least 5 photos or 2 videos to the Story Map of Marina Hasspopoulou’s data.
   • Use the coordinates listed in this spreadsheet. Please type your name in the “Student Column” to claim a photo/video/audio once you have added it to the map. If the media is not listed in this spreadsheet, PLEASE ADD IT.
   • Photos are here
   • Videos are here (may require an upload to Youtube or Vimeo before it can be included in the Story Map).
   • Contribute to the map called “2017 Activism – FINAL (add your data to this map!)”

Announcements

• If you haven’t already, please accept the invitation called “An invitation to join an ArcGIS Online organization, New York University – Data Services” in your mailbox. This will allow you to work in our class’s collaborative StoryMap today.
• Internship opportunity: The Metropolitan New York Library Council (METRO) is currently accepting project proposals for its internship program. METRO will fund interns ($15/hr for 120 hours) for the Spring 2019 semester to work with libraries, archives, museums, or similar organizations or groups on projects that utilize the METRO Studio. We are looking for a range of proposals, such as projects that digitize collections on legacy media, engage and document local communities, or examine new approaches to description and data. For more information: https://metro.org/studio-internship
• Opportunity for Women in STEM:

  Perricone MD and The Scientista Foundation have partnered to give away four $20,000 fellowships to four amazing women in STEM. The application consists of recording a 3-5 minute video explaining how they embody the qualities of a born seeker -- drive, curiosity, and perseverance regarding their scientific and personal life.  Everyone has a unique story to tell, and we would encourage all female STEM students to apply.  The application can be found at www.bornseekersfellowship.com
  

Agenda

• Guest speaker: Nick Bartzokas, American Museum of Natural History
  • https://www.pbs.org/wgbh/nova/article/nova-evolution-lab-tree-of-life/
  • http://phylogeny.io
  • https://www.onezoom.org
  • http://www.openvisconf.com
• Collaborative StoryMap: Locative Media as Participatory Archives of Civic Engagement
  • Data
  • Story Map templates
  • Our story map: https://www.arcgis.com/apps/Shortlist/index.html?appid=10638aeb94034a31897e2a47e8d7b689&edit
  • https://arcg.is/1OrnzO

Next Week’s Assignments

• Progress Post: Please write a short post on any relevant project updates, including new visualizations, discussions in your group, discussions with your community partner, etc.
• Toolkit Post: Please write a short post about the potential uses for the following tools, which we may use in the next class:
  • CARTO: How is CARTO different from other mapping tools?
  • Google Colaboratory: What could Colaboratory be useful for? (And if you have time, try the Intro to Panda on the Google Colaboratory welcome site.)
• Please sign up for a CARTO NYU account:
  https://nyu.carto.com/signup
• NO CLASS NEXT WEEK (Thanksgiving). See you in two weeks!

Announcements

• If you haven’t already, please accept the invitation called “An invitation to join an ArcGIS Online organization, New York University – Data Services” in your mailbox. This will allow you to work in our class’s collaborative StoryMap next week.
• Please take a look at your classmates‘ Phase 2 project posts and have some questions/comments ready for each classmate.

Agenda

• Phase 2 Presentations

Next Week’s Assignments

• BLOG POST: Start working on your final visualization and discuss any visualization-related issues that are coming up. In the next weeks, you will have time in class to work through these issues with your collaborators, instructors, and community partner.

Announcements

• Please start browsing the data in this folder, we will work on it in class in the coming weeks.
• ESRI Storymap: Famous Ballpark Foods

Agenda

• Book Day!
• Check-ins
• Exercise: data cleaning/assembling

Next Week’s Assignments

• Your Phase 2 paper and presentations are due next week! You must prepare the paper alone (as an individual), even if you are working in a group for Phase 3. Please be prepared to talk the class through a 5-7 minute discussion of your paper, followed by 5-7 minutes of Q&A. Please remember to link to all materials from your blog.

Announcements

• UPDATED: Community Partners
• Data Vis 2018 Phase 2 Requirements
• New class licenses (see your email for the keys)
  • Tableau Class Site
  • Unity Class License
• Upcoming talk on Oct 30: Turning Big Data into Real Understanding
• NYU Libraries: Upcoming tutorial classes

Agenda

• Check-Ins
• Data Pitch: Accountability Project
• Data Pitch: CSforAll
• Data Pitch and Data Science: BrainPOP

Next Week’s Assignments

• Blog Post: Next week’s class (11/1) will focus on workshopping your Phase 2 work (due 11/8), so please contact your chosen community partner and start preparing your Phase 2 paper–then post as much as you can!

Phase 2 Paper. Full draft due November 8. (Final paper due in Phase 3)

Please write a 1250+ word research article, creative nonfiction, or ethnography (series of interviews) that critically examines issues faced by your community partner in the process of data visualization. If you need a community partner, consider the list of confirmed community partners for the class.

1. What are the questions they are researching or investigating with data?
2. What are their issues in collecting the data?
3. What are their issues in cleaning the data?
4. What are their issues in understanding the data?
5. Are there historical precedents for this kind of work with data? For this, please explore and cite at least one of the books from the “Historical/Foundational” section of the course-reserved books (see syllabus).
6. What kinds of data visualizations can help them? What kinds of visualizations can’t help them? For this, it may help to explore the books in the “Technique/Science” section of the course reserves (see syllabus).
7. Please provide possible vis sketches and/or notes from your exchanges with your community partner. Keep in mind that some community partners may have limited time to work with you. Plan accordingly!
8. If applicable, please integrate your thoughts on speakers and/or site visits so far.
9. Please draft an MLA-formatted bibliography for the books, articles, web sites, site visits, speakers, and other sources that you cite. Please use at least three sources, including one of the course reserves.

Announcements

While you’re waiting for class to begin, please take a look at the links to prepare for class today.

• New Announcements:
  • New class licenses (see your email for the keys)
    • New Tableau Class site Download Tableau Desktop and Tableau Prep here
    • We now also have a class license for Unity.
  • Data Vis 2018 Phase 2 Requirements is now published to the class menu.
  • Upcoming event on Oct 24: Digital Humanities + Data Day at NYU Bobst, with a Map Visualization competition
    Upcoming talk on Oct 30: Turning Big Data into Real Understanding
• Ongoing announcements:
  • NYU Libraries: Upcoming tutorial classes on data visualization, analysis, and management software
  • NEW: 3D Visualization Resources
  • UPDATED: Community Partners

Agenda

• ProPublica (155 6th Avenue)
• NYU Data Services (Bobst Room 743)

Next Week’s Assignments

• • Please write as 1 or 2 blog posts:
    
    • Reflection on ProPublica visit. ProPublica, as a non-profit journalism organization, does a lot of work in the community interest. As you start to work with you community partner and think about your Phase 2 paper, what are some lessons learned from the ProPublica visit that might help you going forward?
    • Reflection on NYU Data Services visit. Now that you’ve completed your Phase 1 project and received feedback, please reflect on the services and information shared at the NYU Data Services visit today. What aspects of this visit might help you as you start to think about your final visualization?
  • Please download R Studio for next week’s class.