The 2026 Visual Data Storytelling Contest
In conjunction with IEEE PacificVis 2026 in Sydney, Australia

The 2026 Shortlist

Hidden Information Behind Fancy Words: A Comparative Data-Driven Analysis of ESG Reports

Weiqi Han, Yupu Chen, Yunzhong Luo, and Xiaoyu Zhang

City University of Hong Kong, China

Abstract -- Does a high Environmental, Social, and Governance (ESG) score actually mean a company is doing good, or just talking well? In this video, we evaluate 20 years of ESG frameworks to uncover a major gap between corporate rhetoric and real-world impact. We analysed the ESG reports of 15 market leaders across five industries using NLP techniques and found that top ESG ratings rarely correlate with financial stability. We also highlight a “reporting imbalance” where Big Tech prioritizes environmental metrics while systematically marginalizing the governance dimension. Furthermore, our sentiment analysis results reveal that corporate discourse remains overwhelmingly positive regardless of actual output. Finally, a case study of NVIDIA highlights potential flaws in third-party rating methodologies. Through this project, we would like to advocate for a transition to standardized, data-driven frameworks that reduce corporate’s selective reporting and prioritize longitudinal physical evidence over subjective disclosure.

A Cat's Day

Aoshuang Zhang, Wenxuan Gu, Yu Zhong, Jinghong Lin, and Xiaoyu Zhang

City University of Hong Kong, China

Abstract -- This video depicts a day in the world of cats through data visualization. As cat lovers, we centered our story on cats, and explore their daily lives from cat breed characteristics, behavioral patterns to dietary nutrition. For breed and coat patterns, we collected global data on breed origins and coat colors from official sources (e.g., CFA, TICA) and created interactive visualizations. We also analyzed datasets from Hugging Face to examine vocalization features across contexts and daily activity time allocation, using these analyses to tell behavioral stories. For nutrition, we analyzed U.S. pet-food industry reports and Nielsen data to categorize ingredients and visualize dietary composition. Through a light, joyful narrative, we aim to turn data analysis results into engaging visual stories that share rich cat knowledge, and celebrate our endless love for these tiny, furry friends.

Aromatic Herbs: A Visual Design of Traditional Chinese Aromatherapy

Shuai Zhang, Qiushi He, Qing Chen, Yang Shi, and Nan Cao

Tongji University

Infographic Link: LINK

Abstract -- Chinese aromatherapy represents a millennium-old wisdom, blending traditional culture with holistic healing. This visualization project explores the rich history and contemporary value of this ancient practice. Drawing data from classical medical texts like The Compendium of Materia Medica, museum collections of incense tools, and modern medical research, we construct a comprehensive visual narrative. The design features a timeline illustrating the evolution of incense tools, a classification system based on the "Five Elements" theory to encode fragrance attributes, and a therapeutic module revealing physical and mental health benefits. By fusing imagery, color coding, and knowledge structures, this work transforms complex historical data into an intuitive experience. It invites viewers to rediscover the profound cultural heritage of Chinese aromatherapy and understand its enduring relevance in modern wellness.

Chinese Canine Heritage: A Data Narrative for China’s Indigenous Dogs

Shuai Zhang, Qiaoqiao Jin, Qiushi He, Qing Chen, Yang Shi, and Nan Cao

Tongji University, China`

Abstract -- China's indigenous dog breeds represent a unique native canine lineage shaped through long-term coexistence with human societies, carrying significant cultural memory and ecological value. Yet they are often mislabeled as “mongrels” in contemporary discourse, leading to misunderstanding and neglect. To address this issue, we developed Chinese Canine Heritage, a scrollytelling website that revitalizes cultural recognition of China's native dogs. Built on the Next.js framework, the project adopts a data-driven storytelling approach centered on native dogs as loyal human companions. The narrative integrates historical artifacts, classical literature, scientific interpretation, and policy regulations, guiding users from awareness and empathy toward responsibility for conservation. Using D3.js, the system supports interactive data exploration and translates abstract cultural and policy information into engaging visual narratives, aiming to enhance scientific literacy, promote conservation awareness, and present China's indigenous dogs to a global audience.

Twin City Tales: Lives Across the Shenzhen‑Hong Kong Border

Mingxi Li, Lu Junchi, and Yiwei Zhou

City University of Hong Kong, China

Web Link: https://twincitytale-visstory2026.netlify.app/

Abstract -- Twin City Tales is a web-based notebook for data-driven storytelling that visually explores everyday life across the Shenzhen–Hong Kong border. Historically, this border has marked two distinct social systems, cultures, and ways of living, while also sustaining continuous interaction between the two cities. After COVID-19, these connections resumed in altered forms, giving rise to a new mode of cross-border daily life. The project builds a linear narrative from Hong Kong government–released daily passenger flow data across major control points from 2021 to 2025. Through data cleaning, temporal comparison, and visual annotation, it traces how cross-border mobility returns and reorganizes over time. Beyond numbers, the team conducted field research and ethnographic observation of cross-border communities to add human texture and lived context. In the post-pandemic context, the story poses a proposition: What does this reshaped border truly mean? And how people deal-with time pressure and cultural divides?

Poetical Science: Decoding Ada's Story through a Multi Perspective Lens

Rufei Han1, Jieying Ding1, Haipeng Zhu1, Wang Su1, Zhiliang Shen1, Chen Yi1, Haozhong Zheng1, Yanzhuo Chen1, Ruoyun Dai1, and Siming Cheng2

1Hithink RoyalFlush Information Network Co., China; 2Fudan University, China

Abstract -- Captured through a first-person POV, this video depicts a time-traveling encounter between modern-day Jeff and Ada Lovelace. Using the AI tool Lens, Jeff reconstructs Ada’s legacy not as a static biography, but as a dynamic interplay of conflicting perspectives. The narrative juxtaposes Ada’s visionary "Poetical Science" against Charles Babbage’s rigid engineering logic and her mother’s disciplined restraint. By visualizing historical constraints and gender biases, the video highlights why Ada remains the ultimate icon for the AI era: she was the first to realize that machines could manipulate symbols beyond numbers. It concludes with a profound reflection on how technology can help us unmask the structural prejudices that shape our understanding of history and truth.

Visualizing the Storm: Cyber Violence in the Era of Distorted Information

Zherui Zhou, Zihan Qiu, Sheng Zhang, Qing Chen, Yang Shi, and Nan Cao

Tongji University, China

Abstract -- Online violence is a widespread digital phenomenon driven by misinformation and collective emotional escalation, leading to serious psychological and social harm. We designed an interactive data story program that combines speculative narrative and data-driven analysis to encourage reflection on individual responsibility in online environments. First, we constructed a speculative future scenario where online discourse is “corrected” through emotional detection and factual guidance. Then, the narrative shifts back to the present, revealing how misinformation and collective hostility intertwine through a real-world-inspired cyberbullying case. We collected 64 high-impact online violence incidents in China over the past five years from mainstream news media, and then we collected and analyzed comments on Douyin. For visual encoding, we adopted a hurricane-inspired metaphor to illustrate the non-individual and uncontrollable nature of mass online aggression. We aim to raise awareness of the lasting impact of online violence and foster more ethical participation in digital information ecosystems.

India Ki Hawa, The air we breathe

Priyanka Karnam

Northeastern University

Web Link: https://priyanka-karnam-india-aqi-visualization.vercel.app

Abstract -- Air pollution in India has become one of the most urgent environmental and public health crises with rapid urbanization, millions of people are exposed to hazardous air quality. This project presents a scroll-based data storytelling experience that explores the complex and multi-layered nature of air pollution across India.Through interactive visual narratives, the work examines the major sources of pollution, its temporal patterns across seasons and years, and its geographical disparities between regions and cities. The story highlights how air pollution is not only an environmental issue, but also a social challenge, affecting billions and contributing to severe health impacts. This project aims to improve public understanding of why India’s air quality crisis persists and what interventions can lead to long-term improvement. Ultimately, the project emphasizes that while meaningful change requires time, immediate action is essential, because clean air is not a luxury, but a fundamental right and responsibility.

A Small Boat in a Great Tide: One Man’s Journey Through China’s Modernization

Xingyu Lan1, ZhiJing Pan1, Zhengqi Xia2, Kitee Li3>, Wenyu Huang1, Ruyun Dai4, Wenxuan Luo5, Qingyang Liu1, Siyuan Zhang1, Xiangtian Ji6, and Dai Yu7

1Fudan University, China; 2Communication University of China, China; 3Freelance Artist; 4Hanyang University, Korea; 5Central Academy of Fine Arts, China; 6Huazhong University of Science and Technology, China; 7PhoeHub Technology Co., China

Web Link: https://kitee0325.github.io/modern-chronicle/

Abstract -- Over the past century, China has risen from poverty to a global power. The world watches with curiosity, yet often knows little of the stirring voyage of its modernization - a journey shaped not only by statistics, but by the lives of ordinary people. By chance, we came across the oral history of Zhao Dachun, an ordinary Chinese man born in 1934. As we helped digitize his memories, we realized that the destinies of an individual and a nation are like a boat upon a river - rising and falling together, carried forward by the same currents of time. Therefore, in this visual data story, we aim to tell a tale of an individual’s life resonating with the tides of time, while also giving readers a human-scale glimpse into China’s journey toward modernization.

The Eight Treasers Pilgrimage

Huizhu Han

Beihang University, China

Abstract -- In today's society, increasing pressure has led more people to perceive life as uncontrollable. Drawing on compensatory control theory and conceptual metaphor theory, we integrate the promotion of the Eight Auspicious Symbols culture with metaphysical rituals. This approach not only helps people understand traditional culture but also provides psychological comfort.

About

The Visual Data Storytelling contest celebrates its 10th year in 2026. This contest celebrates the emerging data communication genre, including data storytelling, narrative visualizations, explanatory notebooks, visual essays, and more. It aims to encourage students, researchers, and practitioners to demonstrate the value of data visualization by creating creative and compelling visual data stories. The contest will be held in conjunction with IEEE PacificVis 2026 from April 20-23, 2026 in Sydney, Australia.

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 (or intersect with) 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; you 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.

Potential contest entrants are encouraged to review the following for inspiration:

Shortlisted Entries from Previous Contests

2024
2023
2022
2021
2017-2020

Talks about Data-Driven Storytelling

Once Upon a Time: From Data to Stories John Schwabish @ Socrata Connect 2017
Animation, Pacing, and Exposition Tony Chu @ OpenVisConf 2016
Where's Larry? Bringing Data to Life Through Story Cole Nussbaumer Knaflic @ Tapestry Conference 2017

Submission Requirements

Submissions can take several forms, including:

Images, Infographics, and Data Comics

A collection of images, charts, infographics, data comics, and/or data visualization that convey a story using engaging visual designs.
Example 1 and Example 2.

Videos and Animations

A cinematic animation that tells a data-driven story using visualizations. Note that video submissions that appear to be tutorials or demonstrations of a visualization tool will not be considered; the focus of the submission must be a visual narrative about the data, not a visualization tool or technique. Example.

Data Notebooks and Interactive Articles

Interactive articles, markups, and notebooks that guide the reader through a narrative using text and visualizations. Examples of explainable notebook platforms include Distill, Idyll, and Observable.

Websites

An interactive web page that guides the user through the story. Note that purely analytic or exploratory visualization tools/dashboards that do not provide guidance or storytelling to the user will not be considered.

Immersive and Augmented Experiences

Stories that go beyond traditional desktop interfaces, including those that use headsets and tablets/mobile devices, are also encouraged. For such submissions, we encourage you to submit a video in the initial submission, and if accepted, will work with you to demo your story during the conference.

Unconventional Forms

Other forms of interactive storytelling work, such as audio-visual projects, physicalization, game-based storytelling, and more, are also encouraged to submit. A video is likely the best way to make the initial submission. For unconventional entries that are accepted, we will work with the artists/authors to decide the best possible way to exhibit the work at the conference.

Additional Requirements

Submissions should also adhere to the following requirements:

(1) The story must feature a visual representation of data generated by various techniques such as computer programming (e.g., D3.js or three.js), manual illustration (e.g., using pen & paper, physical objects, or illustration software), or other relevant techniques. Third-party techniques or applications may be used in conjunction with the author's own work as long as proper credit is given to their respective creators and it is made clear which aspects of the implementation represent the authors' own work.

(2) Entries must be original data-driven stories that have not been previously published elsewhere.

(3) The dataset(s) used in the story must be publicly available, and linked to, sourced, or otherwise referenced.

(4) The story content can be in any language, but accompanying explanations should be provided in English. This will help our judges provide a proper evaluation of your submission.

(5) A 150-word abstract (entered on the PCS submission website) that may briefly describe the purpose of the story along with the data analysis and design process undertaken by the storyteller(s). The abstract should not include the message(s) communicated by the story; the story must stand alone in this regard such that a viewer should not need to read the abstract to understand the story.

(6) Supplementary materials are encouraged. For example, high-resolution images, videos, audio files, or other materials to show design processes that will help reviewers evaluate the submission.

(7) For the accepted entries, we will expect the following additional requirements:

  • At the camera-ready deadline, you will submit a 3-6 minute demo video describing the story. (Exact details will be sent out to accepted entries.)
  • At least one member of the team must register and attend PacificVis 2026 to present your story.

Submission Process

Submit via the Precision Conference System site using the PacificVis 2026 Storytelling Contest track.

  • Static entries such as infographics and data comics should be submitted in PDF format.
  • Videos should be in mp4 format, with a maximum file size of 300 MB.
  • Explainable articles and websites can be submitted as a web URL. Such entries should be directly runnable in a browser without downloading or installing packages/libraries/etc.
  • 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.
  • As mentioned above, for "unconventional" story formats (mixed reality, physicalizations, audio-video experiences, etc.), we recommend initially submitting a video of your story.

Reviewing and Awards

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:

  • Is the story novel?
  • Is the story original (i.e., the author’s own work not previously published elsewhere)?
  • Is the story trustworthy and functional (i.e., is the message clearly communicated)?
  • Is the story engaging and beautiful?
  • Is the story informative and enlightening?
  • Are the submission requirements met?

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.

Contest Timeline

All dates are midnight AOE.

Contest Chairs

Contact email: pvis_contest@pvis.org

...

Maxime Cordeil

Senior Lecturer
The University of Queensland, Australia

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Chris Bryan

Assistant Professor
Arizona State University, USA

Contest Judges

Anjana Arunkumar

Northeastern University, USA

Wai Ping Chan

Central Academy of Fine Arts, China

Andrew Cunningham

Adelaide University, Australia

Yu Fu

University of Central Florida, USA

Aimen Gaba

University of Massachusetts Amherst, USA

Yun-Hsin Kuo

University of California, Davis, USA

Xingyu Lan

Fudan University, China

Jiazhou Liu

Monash University, Australia

Aditi Mishra

Fujitsu Research, USA

Kadek Satriadi

Monash University, Australia

Utkarsh Soni

Manulife, USA

James Walsh

Adelaide University, Australia

Yanzhuo Yang

University of Queensland, Australia