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1. Contextual Visualization

   https://doi.org/10.1109/MCG.2018.2874782  

   Borland, David; Wang, Wenyuan; Gotz, David; Rhyne, Theresa-Marie (November 2018, IEEE Computer Graphics and Applications)
2. Visualization Vibes: The Socio-Indexical Function of Visualization Design

   https://doi.org/10.1109/TVCG.2025.3634814  

   Morgenstern, Michelle; Fox, Amy Rae; Jones, Graham M; Satyanarayan, Arvind (January 2025, IEEE Transactions on Visualization and Computer Graphics)

   In contemporary information ecologies saturated with misinformation, disinformation, and a distrust of science itself, public data communication faces significant hurdles. Although visualization research has broadened criteria for effective design, governing paradigms privilege the accurate and efficient transmission of data. Drawing on theory from linguistic anthropology, we argue that such approaches—focused on encoding and decoding propositional content—cannot fully account for how people engage with visualizations and why particular visualizations might invite adversarial or receptive responses. In this paper, we present evidence that data visualizations communicate not only semantic, propositional meaning—meaning about data—but also social, indexical meaning—meaning beyond data. From a series of ethnographically-informed interviews, we document how readers make rich and varied assessments of a visualization’s “vibes”—inferences about the social provenance of a visualization based on its design features. Furthermore, these social attributions have the power to influence reception, as readers’ decisions about how to engage with a visualization concern not only content, or even aesthetic appeal, but also their sense of alignment or disalignment with the entities they imagine to be involved in its production and circulation. We argue these inferences hinge on a function of human sign systems that has thus far been little studied in data visualization: socio-indexicality, whereby the formal features (rather than the content) of communication evoke social contexts, identities, and characteristics. Demonstrating the presence and significance of this socio-indexical function in visualization, this paper offers both a conceptual foundation and practical intervention for troubleshooting breakdowns in public data communication. 

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3. Physical Visualization Design

   https://doi.org/10.1145/3318464.3384711  

   Ramjit, Lana; Kong, Zhaoning; Netravali, Ravi; Wu, Eugene (January 2020, SIGMOD Demo)

   null (Ed.)
4. Metabolite Fragmentation Visualization

   https://doi.org/10.54808/JSCI.20.05.138  

   Kwak, Myungjae; Molina, Matthew; Arnold, Spencer; Woodward, Andrew; An, Jin-Young; Nuckels, Estelle; Wang, Yingfeng (October 2022, Journal of Systemics, Cybernetics and Informatics)

   Tandem mass spectrometry (MS/MS) is a popular technology for identifying small molecules involved in metabolism, better known as metabolites. Coupled with liquid chromatography (LC), LC-MS/MS instruments first separate, ionize, and fragment metabolites, then measure mass-to-charge ratios (m/z) and intensities of metabolite fragments. Understanding metabolite fragmentation is crucial to develop computational tools for identifying metabolites based on this spectroscopic data. Metabolite fragmentation patterns have large variations making it especially difficult for computer scientists to design and implement metabolite identification approaches. To address this interdisciplinary challenge, this article presents FragView, a web-based application providing the web service for visualizing metabolite fragmentation. Users can break chemical bonds to produce metabolite fragments and export 3D fragment structures for 3D printing. Developing FragView is an opportunity for exposing student participants to this interdisciplinary bioinformatics project. This paper summarizes the experience of training student participants in bootcamps and designing the implementation plan based on student backgrounds. Students were exposed to project meeting discussions on coding and raw data visualization and visited a lab with an LC-MS/MS instrument. FragView is an open source, freely accessible tool, released under the GPLv3 license. We will continue to improve and update FragView in the future based on feedback. 

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5. Visualization (nD, VR, AR)

   https://doi.org/10.1061/9780784482421.012  

   Xu, Lei; Francisco, Abigail; Mohammadi, Neda; Taylor, John E. (June 2019, Development of a Virtual Reality Integrated Community-Scale Eco-Feedback System)

   A growing number of community energy initiatives have enlarged energy-related social networks to the community level. Information provision is deemed as an important role in such programs while energy data disclosure offers a great opportunity to promote energy savings by engaging energy-related actors. However, it is crucial to communicate this data in an effective way. In this research, we develop a virtual reality (VR) integrated eco-feedback system that enables both occupants and facility managers to interact with real-time energy consumption data represented in a community scale 3D immersive environment. This paper presents the detailed front-end and back-end design and development of this novel VR-integrated eco-feedback system using Georgia Tech’s campus as a test case for implementation. The VR-integrated community scale eco-feedback system is capable of visually characterizing differences in energy consumption across a large number of buildings of different types, and will be tested by users in future research. This research, when deployed broadly in cities, may help promote energy-aware behaviors of occupants and timely intervention strategies to achieve energy savings in urban areas. 

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