This visualization website aims to showcase the profound essence of Shanghai Shikumen, documenting the gradually disappearing landscape of Shikumen lanes in the city's development. By delving into the evolution of Shikumen, we employ data analysis to reveal the historical architecture's development over different periods. This includes collecting geographical data in Shikumen areas, statistical analysis of architectural styles and quantities, and researching the correlation between historical events and red culture. Additionally, we conducted on-site research in Shanghai, documenting many existing Shikumen buildings and the transformation of Shikumen into modernized commercial centers. Through visual storytelling, artistic graphics, and charts, we portray the unique significance of Shikumen in the evolution of Shanghai's urban landscape, offering an interactive and vivid platform for urban history enthusiasts.
Astrology emerges as a distinctive and mystical facet of traditional Chinese culture, imparting a unique charm when interwoven into ancient literature such as Tang poetry. We designed an interactive webpage to visualize the application of astrology in Tang poems, comprising two integral sections: a data-driven story and an exploration page. In the story section, interactive charts reveal nuanced insights into astrology in Tang poetry—spanning its prevalence, methods, emotional expressions, and poets' preferences. The exploration section empowers users to filter poems based on dimensions, facilitating a comprehensive exploration of content and visual coding by selecting specific poems. During data collection phase, approximately 2,400 poems were curated from a opensource database of over 40,000 Tang poems using keyword extraction and manual filtering. In data analysis phase, poems underwent narrative exploration guided by research literature and NLP analysis. Visualization phase incorporated D3.js to craft informative charts and diagrams. Explore the project at https://yejingxin515.github.io/astrology-webpage/.
In the era that artificial intelligence thriving in the creative field, we aim to explore the collaborative relationship between humans and AI from an interdisciplinary perspective, merging art and computer science. Our focus lies on AI's imperfections and their potential to fuel creativity.Inverting the perspective: Transforming limitations into opportunities. Therefore, highlighting AI errors, we conducted an experiment in which the algorithm detects objects in everyday life, using their misidentification results as an alternative perspective to stimulate human creativity, to break free from the confines of the information cocoon. Our demonstration took the form of an infographic video, culminating in the visualization of experimental data and the design of a website. In conclusion, we have a concept of Transforming limitations into opportunities, which is to utilize AI errors to strengthen creativity, and we wish to explore and practice more possible ways of collaboration between human and AI in the future.
The metro is the pulse of a city. Yet, the complexity of metro systems, with their extensive data spanning continents, nations, and cities, surpasses human comprehension. Inspired by Harry Beck's 1933 design of the London Underground map, we designed further abstracted and simplified metro lines. Starting from the topological structure of metros, we generate City Squares by calculating line colors, mileage, and coverage data. These vibrant, color-rich Squares serve as a window into global development, offering a snapshot of a city's metro at any given moment. Such a dynamic visualization not only reveals the city changes but also provides a global overview and comparison, yielding insights from the data. While our primary medium is video to narrate the global metro story, we also offer a website (https://vis.pku.edu.cn/metro/dist) for those who wish to explore metro stories more pertinent to them. This site allows users to explore the data through interactive engagement.
As an ancient skill, Kintsugi originated from Chinese lacquer art. It uses lacquer as an adhesive to bond the fragments, and repairs them with gold powder and gold foil, condensing the charm of the years and the emotion of the craftsman. Utensils are like people, and they also have life. It is like an ancient poem, telling the story of brokenness and rebirth: every trace of Kintsugi is like a mark of history. Each broken utensil has an emotional connection, and lacquer is used to weave a new chapter for them. Thank you for joining us on our Kintsugi journey. Please search for the link to visit our website. Let us explore the beauty of Kintsugi crafts together, appreciate the unique charm of traditional handicrafts, and feel the mark of time.
This video explores the evolution of the U.S. stock market through a multidimensional data mapping method, using the metaphor of a tree to represent each listed company. By examining tree characteristics such as color, height, and width, we delve into various market dynamics, including company health, market valuation, and sector concentration. The narrative focuses on how these visual indicators reveal patterns of growth, risk, and innovation within the market, emphasizing the interplay between technological advancements and market fluctuations. Through this creative visualization, we aim to provide a unique perspective on understanding the complexities of the stock market and industry trends.
The Visual Data Storytelling contest celebrates its 8th year in 2024. This contest aims to encourage students, researchers, and visualization practitioners to demonstrate the value of data visualization through compelling visual data stories.
This contest celebrates the emerging data communication genre, including data storytelling, narrative visualizations, explanatory notebooks, and visual essays. The contest will be held in conjunction with IEEE PacificVis 2024 from April 23-26, 2024 at Keio University, Tokyo, Japan.
Potential contest entrants are encouraged to review the following events and venues for inspiration:
Entries from previous contests:
Talks about data-driven storytelling:
PacificVis is a unified visualization symposium welcoming all areas of visualization, such as information, scientific, graph, security, and software visualization. Storytellers are invited to submit visual data-driven stories that draw upon any of these areas. In addition, entries that focus on computational journalism and artistic design projects are encouraged. Unlike contests such as the IEEE VAST challenge or the IEEE SciVis Contest, the data for the PacificVis visual data storytelling contest is intentionally left unspecified; storytellers are free to choose any publicly available dataset(s). Similarly, the task that storytellers are to accomplish is to successfully communicate a message or series of messages (i.e., a narrative, a series of insights) using data visualization techniques. The story's themes can draw from any topic, including current affairs, history, natural disasters, and research findings from the sciences and humanities.
Entries may be submitted by teams or individuals from industry and academia. Conference sponsors can participate non-competitively. Submissions must fulfill the requirements explained below.
Submissions can take several forms:
Other requirements:
Submit online through the new Precision Conference System at the PacificVis 2024 Storytelling Contest track.
If you have chosen to submit a URL (i.e., a website submission or an online version of your video or image submission), please add the URL in the abstract field.
A jury of visualization and data storytelling experts will carefully judge each submission and make the selection of accepted entries. Successful entries will effectively communicate a narrative, message(s), or insight(s) using visual representations of data. Each judge assigned to a submission will give the submission a score from 1 to 5, and they will be asked the following questions:
Accepted submissions will be published on the PacificVis Storytelling Contest website. A selected set of accepted entries will receive awards (Honorable Mention and Best Storytelling Awards). Awards will be presented to the winners during the conference.
Dates | |
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Submission deadline | January 25, 2024 (Thu) |
Notification date | February 22, 2024 (Thu) |
Camera-ready submission |
All dates are Midnight AOE.
Name | Affiliation |
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Siming Chen | Fudan University, CHN |
Keshav Dasu | University of California - Davis, USA |
Yu Fu | Georgia Institute of Technology, USA |
Dae Hyun Kim | KAIST, KOR |
Qiansheng Li | Shanghai University, CHN |
Tiemeng Li | Beijing University of Posts & Tel., CHN |
Yanru Lyu | Beijing Technology and Business University, CHN |
Eric Mörth | Harvard Medical School, USA |
Will Sutton | Tableau Ambassador | The Information Lab |
Email: pvis_contest@pvis.org