About the Data Haiku Contest Write a haiku about data! Your haiku must be related to data in some way (e.g., data management, processing, sharing, preservation, reuse, etc.). The contest is open to current Notre Dame students and employees. One submission per person. Submissions are due by noon on Friday, February 14. What is a Haiku? Haikus have a rigid structure of 17 syllables divided across three lines. The first line should have five syllables, the second line should have seven syllables, and the third line should have five syllables. Haikus do not need to rhyme. Haiku Example Title: PreprocessingCleaning, reducingand ignoring outliers.Only one case left. Author: Arnon Hershkovitz Prizes Three winners will receive an "I Love Data" coffee mug. Winning haikus will be selected by a panel of judges. Authors of winning and honorable mention entries will be notified via email on February 17 and will be posted on the Data Haiku event page. See the 2024 Love Data Haiku contest winners. About Love Data Week Love Data Week is dedicated to spreading awareness of the importance of data management, sharing, preservation, and reuse. If you care about research, professional, community, and personal data, please join us! View all events in this series.

Throughout Love Data Week, stop in front of the Data Viz Lab (249 Hesburgh Library) for Valentine snacks and add your data point to an ongoing LEGO participatory data visualization. Add your block to the scatterplot(s): How long does it take you to get from your home to the library? How often do you visit the library in a semester? This activity is based on Elsie Lee-Robbins’ work on participatory LEGO visualizations. Watch Lee-Robbins talk about LEGOs and data. About Love Data Week Love Data Week is dedicated to spreading awareness of the importance of data management, sharing, preservation, and reuse. If you care about research, professional, community, and personal data, please join us! View all events in this series.

The AAHD Gallery is excited to present Second Chances, an exhibition showcasing new works by second-year MFA students in Studio Art and Design. Featured artists include Lily Dorian (sculpture), Heidi Dargle (visual communication design), Franceska Alvarado (painting and drawing), Lucy Schultz (industrial design), and Olivia Koziel (photography). The exhibition runs weekdays from January 30 to February 13, 2025, with a special opening reception Thursday, January 30 from 5 to 7 p.m. Join us to celebrate these talented, emerging artists and their inspiring creations. Originally published at artdept.nd.edu.

A gentle introduction to Python and the NLTK; learn how to compute against your readings. Python is a popular programming language for doing text mining and natural language processing. The Natural Language Toolkit (NLTK) is a very popular suite of Python modules, making the process of text mining easier. This workshop is a gentle introduction to Python and the NLTK. It will demonstrate some of the Toolkit's functionality. By the end of the workshop, you will have dipped your toe into the waters of Python and been exposed to the inner workings of the NLTK. About Love Data Week Love Data Week is dedicated to spreading awareness of the importance of data management, sharing, preservation, and reuse. If you care about research, professional, community, and personal data, please join us! View all events in this series.

Learn how to use Zotero — an open-source research tool for creating bibliographies. The open-source Zotero research tool allows scholars to create bibliographies easily, but its capabilities also extend to broader areas of research management, note-taking, and sharing research. Participants will learn how to directly import catalog and journal records into Zotero, attach PDFs and other files, create notes, organize projects, and back up research online. Please bring your own laptop or borrow one from the 1st Floor Circulation Desk. About Love Data Week Love Data Week is dedicated to spreading awareness of the importance of data management, sharing, preservation, and reuse. If you care about research, professional, community, and personal data, please join us! View all events in this series.

Work-in-Progress Seminars are designed to generate in-depth discussion of new scholarly work. For the pre-circulated paper and to attend, please register with the link below. Room location information will be shared with preparation materials following your registration.   During his Kellogg visiting fellowship, Fernando Ojesto Martínez Manzur will work on his project, “How to (Un)Build a Democracy: The Mexican Case,” which explores the challenges of building a democratic system and the ease with which it can be dismantled. Democracy worldwide, particularly in Latin America, is under attack. The Mexican experience will be the basis of this research, especially because it is a great example of how an electoral democracy was built; but unfortunately, it also serves as an ongoing example of how democracy can be “unbuilt” or dismantled. The project is divided into two main sections. The first section will analyze how a democracy is built, focusing on the democratic transition that Mexico underwent from 1977 to 2018. This section will outline the necessary and foundational requirements for building a democracy. The second part of the research will examine the current state of democracy in Mexico and how a 40-year democratic process has been disrupted in the past six years. Since 2018, democracy and its institutions have faced a constant threat, orchestrated by the government and its ruling party. This threat, rooted in the concept of political majorities, has escalated into a reality following the 2024 election, where the governing party secured almost complete control, including a supermajority in Congress, granting them the power to amend the Constitution. This part of the research will aim to understand the dismantling process Mexican democracy is undergoing. Register Here