Love Data Week

Love Data Week Events at UNCW, February 12-16, 2024

Jump to What is Love Data Week?


Watch UNCW Chancellor's welcome to Love Data Week.



Activity: "My Kind of Data" share board


If you are a UNCW student, faculty, or staff, brag about your data work on the "My Kind of Data" share board! During Love Data Week, we'll be launching this 2024 project that will showcase a year of the many representations of amazingly insightful data work happening on campus for research and for class projects--to examine: What does research data mean at UNCW in 2024? With questions, contact Lynnee Argabright (



“DUA, HPC, and AWS, oh my!”: Research Infrastructure Support at UNCW

Date: Monday, February 12 from 1:00 - 2:00 pm
Speakers: Chris Jones, Parker Moran, and Zerek Olson
: Access the presenters' PowerPoint
If you watch any recording from 2024 Love Data week, please leave an evaluation:

Members of the UNCW ITS (Information Technology Services) will provide an update for the services and technology resources available to UNCW researchers and staff engaging in data projects. We will introduce UNCW’s data sensitivity levels and the process for requesting Data Use Agreements (DUA) or restricted access data. We will also describe how to get access to High Performance Computing (HPC) as well as other software and infrastructure and cloud resources. Finally, this forum provides space for any questions attendees have for us for your research needs.

About the Speakers:

  • Chris Jones--Research Computing Analyst in Information Technology Services (Campus ITS)
  • Parker Moran--Director of Networks, IT Operations, and Research in Information Technology Services (Campus ITS)
  • Zerek Olson--ITS Vendor Manager in Information Technology Services (Campus ITS)

Resources Shared:



Artificial Intelligence (AI) in Research: Data Considerations for Safe and Productive Research Projects

Date: Tuesday, February 13 from 12:30-1:30
Speakers: Sam Zelick (moderator), Lance Cummings, Gulustan Dogan, Kris Hohn, Lorraine Lee, and Yang Song
If you watch any recording from 2024 Love Data week, please leave an evaluation:

As a powerful research tool, AI can vastly increase a researchers’ efficiency by quickly accessing information, calculating results, and identifying trends. This panel will summarize applications for AI in research, break down methods (whether they are off-the-shelf or custom-built) for which researchers are engaging with AI, remind about the importance of human assessment in the accuracy and representation of AI-generated output, and discuss considerations for incorporating AI methods and tools into our research—such as asking what data sources are being accessed and where does uploaded data go. As panelists talk through tricky questions, attendees will come away with ideas (and maybe even collaborators!) for approaching or moving forward with this burgeoning method of doing research.

About the Speakers:

  • Sam Zelick (moderator)—Sciences Librarian, Randall Library
  • Dr. Lance Cummings—Associate Professor of English, College of Humanities, Social Sciences, & the Arts
  • Dr. Kris Hohn—Assistant Professor, School of Social Work
  • Dr. Lorraine Lee—Professor of Accounting, Cameron School of Business
  • Dr. Yang Song—Associate Professor of Computer Science, College of Science & Engineering

Resources Shared:



Responsible Participatory Qualitative Data Research: A Xicana's Methodological Journey in Decolonizing Gang Life Studies

Date: Thursday, February 15 from 1:00-2:00 pm
Speaker: Amy Martinez
No recording was made
If you watch any recording from 2024 Love Data week, please leave an evaluation:

Dr. Amy Andrea Martinez’s fourteen years of ethnographic experience with a local community have led her to develop strong ethical data practices. Reflecting on methods she has used in her ongoing work, “Santa Bruta--Home of El Indio Muerto: The Colonial-Carceral City’s Attempt to Eliminate the ‘Mexican’ Problem,” which investigates the intricate dynamics of settler colonialism and carcerality of Mexican/Chicano gang members in Santa Barbara, this presentation strategically broaches notions of researcher positioning and advocates for a cultural methodology rooted in compassion, love, and intimacy. Dr. Martinez will describe how she applies Linda Smith’s decolonizing methodologies that are based around principled rejection of “drive-by” and extractivist research. This approach not only enriches the researcher’s personal development but also contributes positively to the lives of those studied, fostering genuine connections and mutual understanding that to this day have stood the test of time. Martinez brings up additional important components of responsible qualitative data research, including acknowledging researcher identity to draw from personal experiences, and critical introspection that builds emotional investment and connection between researcher and community. Attendees are encouraged to come with questions about protecting subject privacy, representation, time commitment, and more. Please note: This presentation will not be recorded, though slides and suggested resources will be available afterwards.

About the Speaker:

Dr. Amy Andrea Martinez earned her doctoral degree in Criminal Justice from the Criminal Justice Studies Department at John Jay College of Criminal Justice at the City University of New York. Her research interests include Mexican/Chicano Gang Culture, Mass Incarceration, Third World and Indigenous Qualitative Research Methods, U.S. (Settler) Colonialism, Police Use of Lethal Force, and Prison/Police Abolition. As a first-generation, working-class, and system-impacted Xicana from Southern California, her experiences inform her commitment to decolonial gang research on Mexican/Chicano/a families and their associations and experiences with gang and street life. Currently, she serves as a Latino Social Sciences Pipeline Postdoctoral Fellow at UC Berkeley within the Latinx Research Center, contributing to the advancement of Latinx scholarship in her field. Simultaneously, Dr. Martinez holds the position of Assistant Professor in the Justice Studies Department at San Jose State University.

Resources Shared:



Quantitative Analysis: Methods of Teaching Across the Disciplines

Date: Friday, February 16 from 10:30-11:30 am
Speakers: Jim Blum (moderator), Yea-Jyh Chen, Derek Grimes, Michele Parker, Brock Ternes, and Yishi Wang
If you watch any recording from 2024 Love Data week, please leave an evaluation:

Quantitative methods for research analysis use statistical processes to describe, compare, and interpret numerical data. However, in different disciplines, the types and formats of numerical data is different, different analytical tests are utilized, and the outputs are produced for different practical or academic usage. In this session, panelists will provide multiple perspectives about how we teach and engage with quantitative data analysis for distinct fields of study, student level, and classroom format. Faculty and TAs assigned to teach quantitative research methods or statistical courses can pick up some ideas for ways to engage the classroom and discover what similar skills are used across campus, and students taking or about to take quantitative courses can build awareness about how the numeric skills they learn can be used for numerous interdisciplinary real-world applications.

About the Speakers:

  • Dr. Jim Blum (moderator)—Professor of Mathematics and Director of MS Data Science Program, College of Science & Engineering
  • Dr. Yea-Jyh Chen—Associate Professor of Nursing, College of Health & Human Services
  • Dr. Derek Grimes—Assistant Professor of Physics and Physical Oceanography, College of Science & Engineering
  • Dr. Michele Parker—Professor of Educational Leadership, Watson College of Education
  • Dr. Brock Ternes—Assistant Professor of Sociology, College of Humanities, Social Sciences, & the Arts
  • Dr. Yishi Wang—Professor of Mathematics and Statistics, College of Science & Engineering

Resources Shared:



Makerspace Poll Results

Over Fall 2023, the Digital Makerspace in the library hosted several polls asking for preferences to fun topics. Number of participants over the weeks ranged from 22 to 103 passersby. The polls brought in visits to the Makerspace and enabled folks to engage with everyday life data. The results will be posted in front of the Makerspace over the week--and you can also see them here!



"My Kind of Data" #LoveData24

For its third year, UNCW Randall Library and Research & Innovation will be co-presenting Love Data Week (February 12-16, 2024), an international celebration of data. A series of online workshops, panels, and spotlights about research data will be hosted throughout the week to build campus community and highlight various aspects of data. Recordings and recommended resources are available to access for UNCW’s Love Data Week 2023 and Love Data Week 2022.

This year’s theme, "My Kind of Data," highlights the various representations of “my data,” such as showcasing the work that goes into making data, recognizing data equity and inclusion factors for the people participating in or affected by data, and documenting the data standards from (inter)disciplinary communities. Data is personal. It can be created about anything, it can mean anything depending on the person, and it can be used for countless purposes depending on the individual need.

Join the Global Conversation

Various institutions besides UNCW are celebrating Love Data Week. Find out more about Love Data Week, and see - and attend! - other institutions’ events.

Feel free to tweet or post as we get closer to Love Data Week! Use the hashtag #LoveData24


If you require a reasonable accommodation to enjoy and participate in these events, or if you have questions or feedback, please direct your inquiries to Lynnee Argabright, Research Data Librarian at UNCW.

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