Paper
Research, reflections, and critical writing on creative visualization practice. Technical descriptions, philosophical meditations, design case studies, and interpretations of visualization approaches. Up to 10 pages, IEEE Conference format.
Boston
Keynote and exhibition opening
Event held alongside IEEE VIS
Visualizations as instruments that make the quiet legible and the overlooked visible. What does it mean to turn up the signal on data, stories, and communities that the world tends not to hear?
The IEEE VIS Arts Program (VISAP) is a dedicated venue for visualization researchers, designers, and artists exploring innovative approaches at the intersection of visualization and the arts.
VISAP brings together practitioners who push the boundaries of what data visualization can be — from scientific rigor to artistic expression, from community storytelling to critical speculation.
Held annually as part of IEEE VIS, the premier forum for visualization and visual analytics, VISAP provides a unique platform where technical and artistic communities meet.
We welcome contributions across three tracks, all engaging with the theme of Amplification. All submissions are made via the IEEE VGTC Electronic Conference System (PCS). VISAP uses a single-blind review process.
Research, reflections, and critical writing on creative visualization practice. Technical descriptions, philosophical meditations, design case studies, and interpretations of visualization approaches. Up to 10 pages, IEEE Conference format.
Visual descriptions and reflections on the design process of visualization works. Pictorials and annotated portfolios that communicate practice in rich, heavily visual ways. Up to 16 pages, VISAP Pictorial format.
Data-driven artworks in any medium — interactive projections, sculptures, digital prints, video, VR/AR, sonification, and more. Free-form 2-page proposal with supporting images or video.
All deadlines at 11:59pm AoE.
Detailed submission guidelines will be published when the call
opens.
University of Groningen
Assistant Professor of STS at Campus Fryslân, Faculty Associate at the Berkman Klein Center and Principal at metaLAB (at) Harvard / Berlin / Basel. His research investigates how complex information can be revealed through the combination of computational techniques and design, with a focus on the mapping of science and digital cultural archives. He is the author of Mapping Affinities: Democratizing Data Visualization (Métis Presses, 2021), holds a PhD from EPFL, and has held research positions at MIT, Sciences Po, and the European Commission.
MIT
Director of the Civic Data Design Lab and Associate Professor of Technology and Urban Planning at MIT. Her research uses data collection, mapping, and visualization to address issues of equity and urban development in cities around the world. She has led projects across sub-Saharan Africa, China, and the Americas, developing open-source tools that put data analysis in the hands of communities and policymakers. Her work bridges design and policy, and has been recognized for its impact on urban planning practice and civic technology.
Arizona State University
Tenure-track Assistant Professor of Immersive Experience Design at the MIX Center, Arizona State University. Her research explores a speculative assemblage of artificial memories and language at the intersection of immersive media design, experimental data visualization, and interactive AI art. Her work has earned distinctions including Best in Show at ACM SIGGRAPH and Honorary Mention at Prix Ars Electronica. She holds a PhD from UC Santa Barbara and has exhibited at CCCB, V2_ Lab, Artechouse NYC, and festivals across Europe, Asia, and the Americas.
SUPSI
Design collaborator at the University of Applied Sciences and Arts of Southern Switzerland (SUPSI), she recently completed her PhD at Brunel University London. Her work explores participatory approaches to data physicalization to improve self-awareness, collective meaning-making, and critical reflection. While her PhD focused on healthcare, examining how physical variables can support the perception and communication of symptoms, her broader research considers materiality for interpretation.
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