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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.
“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!