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1. Youth Data Visualization Practices: Rhetoric, Art, and Design

   https://doi.org/10.3390/educsci15060781  

   Bertling, Joy G; Hodge, Lynn (June 2025, Education Sciences)

   MDPI (Ed.)

   In the recent K-12 educational literature, arts-based data visualization has been positioned as a compelling means of rendering data science and statistical learning accessible, motivating, and empowering for youth, as data users and producers. However, the only research to attend carefully to youth’s data-based, artistic storytelling practices has been limited in scope to specific storytelling mechanisms, like youth’s metaphor usage. Engaging in design-based research, we sought to understand the art and design decisions that youth make and the data-based arguments and stories that youth tell through their arts-based data visualizations. We drew upon embodied theory to acknowledge the holistic, synergistic, and situated nature of student learning and making. Corresponding with emerging accounts of youth arts-based data visualization practices, we saw regular evidence of art, storytelling, and personal subjectivities intertwining. Contributing to this literature, we found that these intersections surfaced in a number of domains, including youth’s pictorial symbolism, visual encoding strategies, and data decisions like manifold pictorial symbols arranged to support complex, multilayered, ambiguous narratives; qualitative data melding community and personal lived experience; and singular statements making persuasive appeals. This integration of art, story, agency, and embodiment often manifested in ways that seemed to jostle against traditional notions of and norms surrounding data science. 

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2. Global archaeomagnetic data: The state of the art and future challenges

   https://doi.org/10.1016/j.pepi.2021.106766  

   Brown, Maxwell C.; Hervé, Gwenaël; Korte, Monika; Genevey, Agnès (September 2021, Physics of the Earth and Planetary Interiors)
3. Data Scientists in Software Teams: State of the Art and Challenges

   https://doi.org/10.1109/TSE.2017.2754374  

   Kim, Miryung; Zimmermann, Thomas; DeLine, Robert; Begel, Andrew (November 2018, IEEE Transactions on Software Engineering)
4. Insights From Art Therapists on Using AI-Generated Art in Art Therapy: Mixed Methods Study

   https://doi.org/10.2196/63038  

   Shojaei, Fereshtehossadat; Shojaei, Fatemehalsadat; Osorio_Torres, John; Shih, Patrick C (December 2024, JMIR Formative Research)

   Abstract BackgroundWith the increasing integration of artificial intelligence (AI) into various aspects of daily life, there is a growing interest among designers and practitioners in incorporating AI into their fields. In health care domains like art therapy, AI is also becoming a subject of exploration. However, the use of AI in art therapy is still undergoing investigation, with its benefits and challenges being actively explored. ObjectiveThis study aims to investigate the integration of AI into art therapy practices to comprehend its potential impact on therapeutic processes and outcomes. Specifically, the focus is on understanding the perspectives of art therapists regarding the use of AI-assisted tools in their practice with clients, as demonstrated through the presentation of our prototype consisting of a deck of cards with words covering various categories alongside an AI-generated image. MethodsUsing a co-design approach, 10 art therapists affiliated with the American Art Therapy Association participated in this study. They engaged in individual interviews where they discussed their professional perspectives on integrating AI into their therapeutic approaches and evaluating the prototype. Qualitative analysis was conducted to derive themes and insights from these sessions. ResultsThe study began in August 2023, with data collection involving 10 participants taking place in October 2023. Our qualitative findings provide a comprehensive evaluation of the impact of AI on facilitating therapeutic processes. The combination of a deck of cards and the use of an AI-generated tool demonstrated an enhancement in the quality and accessibility of therapy sessions. However, challenges such as credibility and privacy concerns were also identified. ConclusionsThe integration of AI into art therapy presents promising avenues for innovation and progress within the field. By gaining insights into the perspectives and experiences of art therapists, this study contributes knowledge for both practical application and further research. 

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5. The State of the Art in Visual Analytics for 3D Urban Data

   https://doi.org/10.1111/cgf.15112  

   Miranda, Fabio; Ortner, Thomas; Moreira, Gustavo; Hosseini, Maryam; Vuckovic, Milena; Biljecki, Filip; Silva, Claudio T; Lage, Marcos; Ferreira, Nivan (June 2024, Computer Graphics Forum)

   Urbanization has amplified the importance of three‐dimensional structures in urban environments for a wide range of phenomena that are of significant interest to diverse stakeholders. With the growing availability of 3D urban data, numerous studies have focused on developing visual analysis techniques tailored to the unique characteristics of urban environments. However, incorporating the third dimension into visual analytics introduces additional challenges in designing effective visual tools to tackle urban data's diverse complexities. In this paper, we present a survey on visual analytics of 3D urban data. Our work characterizes published works along three main dimensions, why, what, and how, considering use cases, analysis tasks, data, visualizations, and interactions. We provide a fine‐grained categorization of published works from visualization journals and conferences, as well as from a myriad of urban domains, including urban planning, architecture, and engineering. By incorporating perspectives from both urban and visualization experts, we identify literature gaps, motivate visualization researchers to understand challenges and opportunities, and indicate future research directions. 

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