Minyoung Joo





Data Visualization,  UX Methodologies Jun. - Aug. 2024

Visualization of the Carbon Cycle: Dividing over 100 variables into two main groups—one that permeates the soil to promote life activation, and the other focusing on decomposition.
CLiMA Model Performance Analysis Visualization: Compares regions based on the magnitude of error relative to the previous model. A higher box indicates a higher error rate.
“ How can scientific data visualization evoke intuitive and emotional engagement beyond analytical interpretation? ”

Through an interview with JPL research scientist Anthony Bloom, who focuses on the carbon data model framework (CARDAMOM), I learned that his team wanted to present carbon cycles in a way that felt fresh and accessible to the public. Conducting research based on data and effectively communicating it to a general audience require entirely different skill sets. Recognizing this gap, I explored various visualization methods that could transform complex carbon cycle data into something visually compelling and intuitive. While my approach was not part of the final tool developed in the D2D project, it was included in the final presentation, where it was introduced alongside other outcomes. The enthusiastic reactions from both the general audience and researchers from other fields reassured me of its impact, affirming the role of visualization in bridging scientific research and public engagement.

TouchDesigner, Papersketch, UX Research
Collaboration Project with Caltech + Nasa JPL + Artcenter

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ⓒ 2025. MinyoungJoo Phenomenological Design ResearcherLast Updated Feb. 2025