We invite anyone in the Duke research community to submit data visualizations that interpret or touch on the theme of Through Time. Whether you are studying human history, molecular evolution, or the flow of water through a tributary, we invite you to share your data storytelling skills.
Prepare your visualization
Create or repurpose a data visualization that tells a compelling story about any topic of your choice that evolves over time. You can use any data source or dataset that is relevant to your discipline or narrative.
Submit your work
Using instructions below, submit your visualization and description by January 8th, 2024. The event team will print and hang your visualization.
Attend the event!
Join us at Trent Semans Great Hall on February 1, 2024 from 12-2pm for the Open House display. Event organizers will print and display the visuals; winners will be announced at the time of the event.
What do I submit?: Data visualizations that interpret or touch on the theme of "Through Time." Think outside the box!
Key dates: Submission deadline: January 8th at 5pm; Open house event and award display: February 1st, 12-2pm
What are the judging criteria?: a) Clarity and interpretability of your visual; b) Visual design and aesthetics; c) Insights and impact; d) Creativity and innovation
Monetary prizes: Awarded in each of three categories (faculty/staff/postdoc; grad students/trainees; undergraduate students)
Submission Form: Enter your description and visualization in this form.
Questions: Email firstname.lastname@example.org
- Faculty/Postdoc/Staff: Open to Duke university faculty, postdocs, and staff members.
- Graduate Students/Trainees: For graduate students and trainees pursuing advanced degrees.
- Undergraduate Students: Exclusively for undergraduate students.
- First Prize (in each category): $500
- Second Prize (in each category): $250
- Third Prize (in each category): $100
- Prepare Your Visualization: Create or repurpose a data visualization that tells a compelling story about any topic of your choice that evolves over time. You can use any data source or dataset that is relevant to your discipline or narrative. It could be anything from a single data visualization/diagram/infographic, to a multi-panel figure that all works together to tell a particular story. Be creative and insightful!
- Write a Description: Along with your visualization, provide a brief description (maximum 300 words) explaining your visualization's context, significance, and any interesting insights or trends you've uncovered. Clearly state your category (faculty/staff, graduate students/trainees, or undergraduate students) in your description.
- Submit your work*:
- Prepare your visualization entry as a digital file (PDF, PNG, or JPEG). A vector PDF is preferred, but if you are submitting an image format or a PDF with embedded images, the images need to have a resolution of 300 pixels per inch when the visualization is printed at the final size of 24 inches x 36 inches (either portrait or landscape orientation).
- Label this file yourlastname_dept_vis.format (e.g., Smith.Chemistry_vis.PDF)
- Save your description yourlastname_dept_desc.format (e.g., Smith.Chemistry_desc.PDF)
- Submit your entry by January 8th, 2024.
- Attend the event!
- The open house event will be held on February 1, 2024 from 12-2pm in Trent Semans Great Hall. Come by for as long as you would like. There is no formal program; a light lunch will be available as supplies last.
- Event organizers will print and display your visualization in the Great Hall.
- All submitters are invited to see a showcase of their work, amongst that of other researchers at Duke. This event is open to anyone in the research community.
- Winners will be announced at the time of the event.
Judging will occur prior to the event, by experts in Data Visualization and the academic community. Submissions will be judged on:
- Clarity and Interpretability
- Visual Design and Aesthetics
- Insights and Impact
- Creativity and Innovation
* In instances where you are submitting a visual from a previously-published work, please review the terms of the agreement with your publisher and request permission if needed. If you are depicting licensed or sensitive data, please consider terms of reuse and/or privacy/disclosure issues.
Submission Deadline: January 8th 5pm