2020 IEEE PacificVis Visual Data Storytelling Contest Shortlist

2020 IEEE PacificVis Visual Data Storytelling Contest accepts video, data comic or infographic that uses visualization to communicate a narrative, a message or a series of insights. This year we received 27 submissions, which were reviewed by 10 judges, and ultimately 6 works were shortlisted. The winners will be announced during PacificVis 2020.

To view all shortlisted entries, please visit the Storytelling Contest Showcase on Vimeo.

1: The Universe of Mental Health in Tech Company [Winner Award] [Work/Description] [Website] [Video]

Yangyang Zhu	School of Digital Media and Design Arts, Beijing University of Posts and Telecommunications
Suwen Li	School of Digital Media and Design Arts, Beijing University of Posts and Telecommunications
Wei Zhou	School of Digital Media and Design Arts, Beijing University of Posts and Telecommunications
Tiemeng Li	School of Digital Media and Design Arts, Beijing University of Posts and Telecommunications Beijing Key Laboratory of Network System and Network Culture

Abstract: Employees in tech companies are under enormous pressure due to their high intensity work. But many tech companies don't take mental health issues seriously. To remind tech companies to pay attention to the mental health of their employee, we visualized a questionnaire on the mental health of employees in tech companies conducted by OSMI. In our design, the employees of technology companies are metaphorically the stars in the vast universe; the position of the stars in the sky are determined by the result of vectorized data's dimension reduction. Combining the overview and detail views, we found some notable groups and stories. Finally, we published a website, which allows users to explore data freely through interactive operations.

2: The Secret of Tu Embroidery’s Heritage [Honorable Mention Award] [Work/Description] [Video]

Wanjun Zhang	Shanghai Academy of Fine Arts, Shanghai University
Xin Huang	Shanghai Academy of Fine Arts, Shanghai University
Song Anqi	Shanghai Academy of Fine Arts, Shanghai University
Qiansheng Li	Shanghai Academy of Fine Arts, Shanghai University

Abstract: Tu embroidery has experienced the rise and fall of a thousand years, containing rich national culture and wisdom. With the change of society, fewer and fewer people possesses pan embroidery skills, and plus the complexity of the embroidery technology, young people are more reluctant to learn tu embroidery. Tu embroidery inheritance began to face serious problems.
In this project we let two students to learn Tu embroidery from the craftman and use the data acquisition device to collect data in the process of embroidery of students and teachers. We have done a Interactive web page to tell people how to learn Tu embroidery and to explore Tu embroidery how to get better inheritance by means of using data visualization ways.

3: Storytelling with Natural Ecological Data [Video]

Yanru Lyu	Beijing Technology and Business University
Juanjuan Long	Jiangnan university
Rui Wang	Jiangnan University
Juan Ni	Shanxi Provincial Academy of Arts
Ning Wang	Hebei Institute of Communication
Shuangyan Wang	Hebei Institute of Communication

Abstract: Based on the theory of cognitive-communication, this work accomplished the transformation from “abstraction” to “concreteness” and then to “artistic conception” with the four types of data in the natural ecology: air quality, water quality, temperature and green coverage ratio through using the scenario approach. With the help of the visual language of Chinese landscape painting, it depicts the Chinese story of “Clear waters and green mountains are as valuable as mountains of gold and silver”, and realizes the three levels of cognitive experience of the viewers “attracted-understand-moved”.

4: The Evolution of Putian Network [Website] [Video]

Xingyu Lan	Intelligent Big Data Visualization Lab, Tongji University
Yueyao Zhang	Intelligent Big Data Visualization Lab, Tongji University
Jiati Liang	Independent Artist
Siukay Ye	Independent Artist

Abstract: Although Putian is a small city in China, Putian families are well-known for their dominant power in the medical industry. To investigate their business network, we start with a long list published by China Business News. A total of 441 private hospitals controlled by Putian families are on the list. We then gathered the business information of 368 hospitals from Tianyancha (73 could not be searched), including the registration time, registered capital, stakeholders, administrative penalties and lawsuits. In this story, we first draw an overall portrait of the hospitals using an animated sankey diagram where hospitals are grouped according to categorical data (e.g., location). Next, we take a closer look at 3 big families and visualize the evolution of their business empire into node-link diagrams. To aid understanding, a bump chart is provided to summarize different business patterns. We analyze and visualize the data with Python, D3.js, Echarts, and Illustrator.