January 2026 - Infovis

[Call for Participation] @CHI 2026: Data Literacy Workshop
by Lily Ge 05 Jan '26

05 Jan '26

Happy New Year! Please see the following call for participation for a workshop on data literacy at CHI this year. Also feel free to forward the CFP to anyone who may be interested! CHI 2026 Workshop on Data Literacy We invite you to submit to our workshop on Data Literacy for the 21st Century: Perspectives from Visualization, Cognitive Science, Artificial Intelligence, and Education. This two-session workshop aims to facilitate interdisciplinary conversations around understanding, measuring, and teaching data literacy. Position papers are strongly encouraged. We welcome submissions targeting questions including, but not limited to: * How can we quantify data literacy? * How can we take an interdisciplinary approach in teaching data literacy? * How can we design and develop interventions to reach a broader audience? * How can we bridge the related literacies that rely on data as a foundation (e.g., visualization literacy, statistical literacy, AI literacy) to advance both the study of data literacy and the research agendas within each individual discipline? Submissions are due Feb 10, 2026 (AoE). More info: https://data-literacy-workshop.github.io/CHI26/

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Open Postdoc Position in AI+VIS at University of Notre Dame
by Chaoli Wang 05 Jan '26

05 Jan '26

The Department of Computer Science and Engineering at the University of Notre Dame invites applications for a Postdoctoral Researcher in Artificial Intelligence and Visualization. The postdoctoral researcher will join the Vis Lab and conduct research at the intersection of AI/ML and visualization, with an emphasis on developing intelligent methods to support the visual analysis, interpretation, and understanding of complex data. The position is supported by existing funding that runs through June 30, 2027, and the appointment is for one year, with a possible extension contingent on other funding and performance. The start date is flexible but must be no later than July 1, 2026. The successful candidate will work on problems related to AI-assisted, ML-driven, or foundation model-enabled visualization, visual analytics, and human-centered AI. The exact research direction will be shaped jointly based on the postdoc’s interests and expertise. Applicants should have a PhD in Computer Science or a closely related field completed by the start date, along with a strong research record or demonstrated potential in AI/ML, visualization, or related areas. Experience publishing in leading venues such as VIS, CHI, SIGGRAPH, or CVPR is desirable. Strong research skills and the ability to work both independently and collaboratively are expected. The position offers a competitive salary and comprehensive benefits in accordance with university postdoctoral scales. To apply, please submit a curriculum vitae, a research statement (three pages excluding citations) describing relevant experience and future research interests, and the names and contact information of two references. Applications will be reviewed on a rolling basis until the position is filled. For questions or informal inquiries, please contact Professor Chaoli Wang at chaoli.wang(a)nd.edu. For more information about the research group, please visit https://sites.nd.edu/chaoli-wang/. -- Chaoli Wang Professor of Computer Science and Engineering University of Notre Dame

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EuroVA 2026 - Call for Papers: 17th International EuroVis Workshop on Visual Analytics, Nottingham (co-located with EuroVis 2026)
by Vilanova Bartroli, Anna 05 Jan '26

05 Jan '26

EuroVA 2026 - Call for Papers: 17th International EuroVis Workshop on Visual Analytics, Nottingham (co-located with EuroVis 2026) https://www.eurova.org/eurova-2026 EuroVA invites submission of innovative, fresh, and creative ideas with a high potential of becoming significant contributions to the Visual Analytics community. We welcome contributions within the broad area of Visual Analytics, including: * research papers presenting novel techniques or systems, evaluation studies and methods, and theoretical foundations, * application papers that describe success stories of Visual Analytics in practice, as well as * position papers expressing novel and potentially controversial viewpoints on Visual Analytics. Important Dates * Submission: 27 February 2026 * Notification 10 April 2026 * Camera-ready: 30 April 2026 * Workshop: 08 June 2025 All submission deadlines are at 23:59 GMT on the date indicated. Submission Guidelines Papers can be up to 5 pages in length + references. Papers must be prepared using the EuroVA LaTeX template, which can be downloaded from the EuroVA website: https://www.eurova.org/eurova-2026 Papers are to be submitted via the new PCS at https://new.precisionconference.com/submissions under Eurographics –> EuroVis 2026 –> EuroVis 2026 EuroVA At least one author of an accepted paper must register and participate in the workshop to present the accepted work. Topics The workshop covers topics in the area of Visual Analytics (VA) including, but not limited to: * Immersive analytics * Human-Centered VA and Human Factors * Decision making through VA * Explainable AI through VA * Scalable VA * Progressive Visual Analytics * VA for machine learning & machine learning for VA * Uncertainty-aware VA * Visual Data Science * Interaction techniques * Novel data representations * Analytical processes and provenance * Infrastructures, systems, frameworks, and architectures * Evaluation and user studies * Methodologic and theoretical foundations * Applications and problem-driven work Chairs Daniel Archambault, Newcastle University, United Kingdom Anna Vilanova, TU Eindhoven, The Netherlands Anna Vilanova Professor Visual Analytics Department of Mathematics and Computer Science [cid:fca3e0f5-6db9-4ccf-843b-42d454a0e479] T +31 (0)40 247 8333 a.vilanova(a)tue.nl<mailto:a.vilanova@tue.nl> De Zaale, Metaforum MF 6.077 PO Box 513, 5600 MB Eindhoven

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