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Bobst Library, 5th floor
Mondays: 12pm - 5pm
Tuesdays: 12pm - 5pm
Wednesdays: 12pm - 5pm
Thursdays: 12pm - 5pm
Fridays: 12pm - 5pm
This year, Love Data Week runs from February 13 to 17. The goal is to celebrate data, foster data driven community by raising global awareness about all things data; and promote the importance of data driven research, decision making and data management.
You are invited to our month-long series of events, data-related classes, viz competition, data-career panel, lightning talks and more...a collective celebration of Love Data Week 2023.
See the full schedule below and explore this site for more details as well as for information on our past events.
Every year, the week around Valentine’s Day is celebrated as the International Love Data Week 2023 and is hosted by ICPSR. Organizations involved in the stewardship, use, and reuse of data collectively spotlight the importance of caring for the data used in our research, policy planning, and scholarly pursuit.
The theme of this year is "Data: Agent of Change."
Content related to Love Data Week can be found on various social media platforms at the hashtag #LoveData23.
Love Data Week 2023 is about inspiring our community to use data to bring about changes that matter. Policy change, environmental change, social change... we can move mountains with the right data guiding our decisions. This year we're focused on helping new and seasoned data users find data training and other resources that can help move the needle on the issues they care about.
At Data Services, we will be offering a full slate of our instructional sessions designed to train all researchers, whether beginner, intermediate, or advanced learners in the tools they need to conduct their work. We will also be offering an alumni career panel, research presentations, and other events aimed at sharing the work we do with data.
We are running several tutorials this week in addition to the special events listed below: https://nyu.libcal.com/calendar/classes?cid=1564&t=d&d=0000-00-00&cal=1564&ct=4295,47942&inc=0.
Looking for more class options? Register for one of a series of Love Data Week offerings at NYU Abu Dhabi (some onsite, some online), all open to the general NYU community. A list of workshops is available, or check out the month-long Introduction to the Statistical Software R and RStudio course that runs throughout the month!
“This visualization was created as part of our evaluation of the NYC CS4All initiative, and shows how schools that offer CS instruction to all of their students enroll fewer Black and Latinx students.”
Do Black and Latinx students in NYC have equal access to computer science instruction? has five horizontal rows each representing progress towards achieving CS4All: Not offering (N=140), beginning (N=695), progressing (N=374), approaching (N=98), achieving (N=192). Each dot on the graph represents the percentage of Black or Latinx students enrolled at a single school. Each row highlights the average percentage of students that are Black or Latinx at that level: from not offering to achieving – 74.3%, 65.2%, 60.0%, 59.9%, 45.6%.
“WikiGraph is a graph-based approach to exploring the depths of Wikipedia! It provides a non-linear tool for traversing crowd-sourced semantic links between Wikipedia articles.”
Long Description of WikiGraph
Screenshot of WikiGraph which has a center and spokes emanating from it. Each node represents a Wikipedia article in the dataset and each spoke or edge represents a clickstream link between the source and target articles. Targets have arrows pointing to them, and edges are thicker when there are more clicks. The size of a node (represented by a dot) depends on the number of clicks into that article. The graphic is white on a black background.
The winner in each category will receive 2nd Generation Apple Airpods with Case. Please email data.services@nyu.edu to arrange a time to claim your prize. In addition, winning entries will be featured on the Data Services webpage and/or 5th floor of Bobst Library.
Congratulations!
We are holding an NYU-wide competition for the best data visualization - any map, plot, chart, graph, dashboard or other data-based visual. This competition is a great opportunity to learn about the outstanding and varied research and data analysis being conducted across the NYU community, and we welcome all submissions. Please note, however, that you must submit your visualization into ONLY ONE of the categories (Static/Printable Visualization or Interactive/Dynamic Visualization).
There are two competition categories: a. Static/Printable Visualization and b. Interactive/Dynamic Visualization. Each person can submit to ONLY ONE of these categories.
All current NYU student, faculty, and staff are eligible to enter the competition.
All submissions must be original creations. You are welcome to submit projects generated for a class, but please do not submit maps or visualizations that have been generated for a homework assignment. If you have questions about this distinction, let us know (data.services@nyu.edu).
Submit your entry via LDW 2023 Viz Competition Submission Form (link removed post-competition).
The deadline for all submissions is Monday, February 13, 2023, 11:59 pm.
Voting will open next day after the deadline. The winner for each category will be determined by weighing the votes submitted online by NYU community and the votes of the Love Data Week speakers. Winner will be announced on Friday, February 17.
TBA (gift cards, etc.) In addition, winning entries will be featured on the Data Services webpage and/or 5th floor of Bobst Library.
If you have any questions, need help with finalizing your data visualization or converting your data visualization document to pdf, please contact us via email (data.services@nyu.edu).