The Data Visualization Competition is an important part of the China Visualization and Visual Analytics Conference. The competition invites researchers, developers, students, and enthusiasts to use their most effective visualization and visual analytics techniques/tools to accomplish data analysis as well as visualization tasks. The competition aims to evaluate the effectiveness, novelty, and artistry of their techniques and tools in solving complex problems, and promote the development and advancement of research and applications related to visualization and visual analytics in China.

The Data Visualization Competition offers four tracks, of which the participants can choose the corresponding topic to compete. Each track has its own judges.

Track 1: Data Security Visual Analytics

In recent years, the networked operations of pornography, gambling, drug fraud, and other black-market gangs have seriously damaged the network ecology and social security, which are heavily targeted by law enforcement agencies. In order to support the networked operation of the business, a black market gang needs to master a certain number of interrelated network assets, such as domain names, IP addresses, and security certificates. Analyzing the network assets held by the black market gangs and their associations is conducive to understanding their business operation mechanism, identifying core network assets and key asset links, mining real-world suspect information, and formulating effective combat strategies.

This track provides a black market network asset map dataset (desensitized), which contains 8 types of network assets and 11 types of asset associations, and records 2.37 million network assets (nodes) and 3.28 million asset associations (edges) related to the black market assets obtained from open data sources on the web. Assuming that you are a network black market remediator, please design a visual analytics approach to find subgraphs of network assets mastered by the balck market gangs from the dataset, and identify the core assets and key links in the subgraphs, present and analyze the results in the graphical form.

Track 2: 3D digital twin visualization scene design and construction

Nowadays, a large number of market demands for 3D data visualization have emerged in the fields of cities, government affairs, and medical care. 3D data visualization provides users with a more intuitive visual experience and a higher sense of immersion, but it is challenging to accurately and intuitively express data in a 3D scene, and to mine and reveal the hidden patterns and laws in the data. With the help of graphic rendering techniques and big data visual analytics techniques, we can monitor data changes in real-time, analyze potential problems and spatio-temporal trends of data, and assisting users in rapid decision-making. Big data visualization and visual analytics combine data intelligent processing, visual representation, and interactive analysis organically, so that machine intelligence and human intelligence can deeply integrate and complement each other, providing effective means and decision-making basis for analysis, command and decision-making in all walks of life.

This track requires participants to combine the following topics and use relevant data (datasets are not limited, open datasets or self-modeling ones) for the scene, story script, effect, and data visualization design. Besides, it is required to build (feel free to use any techniques or tools) 3D scenes, and use visual analytics, 3D visualization techniques, and approaches in the constructed 3D scenes to explore, display, and analyze the scene and data.

Participants may choose but are not limited to the following topics (open-ended):

• Urban Topic

Use 3D visualization and graphic rendering techniques to build out a 3D city scene, including but not limited to city buildings, road network, and surrounding natural environment (terrain, vegetation, water, etc.). Use visual analytics techniques to explore the hidden patterns and laws in the constructed scenes. Analysis tasks can include, but are not limited to traffic situational awareness, accident response simulation, accident scene restoration, visual analytics of park planning, multi-view e-guide for tourists, precise epidemic prevention and control, and scene changes from dawn to dusk, or between seasons.

• Industrial topic

Use graphic rendering techniques to build out 3D industrial scenes, including but not limited to production lines, engineering, and construction projects. Use visual analytics in the scenes to explore the hidden patterns and laws in industrial data. The analysis tasks can be selected from the following examples:

(1) Dynamically present the production process of a product in the workshop, and show the role of each step in detail.

(2) Show the plants and roads in an industrial park, show the consumption of raw materials and the output of products, and identify problems in each production step or warnings of equipment failure by analyzing the spatio-temporal patterns of industrial production lines based on the data.

• Architectural topic

Construct the 3D scene of a building based on the BIM model, and use visual analytics techniques in the scene to explore and display the data. The analysis task can be selected from the following samples:

(1) Please select a building, which can be ancient, modern, domestic or foreign, and introduce the building through the first-person or God’s perspective. The introduction includes but is not limited to its structure, design purpose, load-bearing force analysis, and the effect of weather erosion over time.

(2) The scene changes from dawn to dusk and between seasons, in a natural and smooth transition.

• Self-selected topic

Build the 3D scene, analyze problems based on it, and propose possible solutions.

Note: The self-selected data must not be confidential or have intellectual property issues.

Track 3: Digital Cultural Creativity of Ancient Chinese Classics(specified dataset)

The topic requires the author to work from a given dataset. The dataset, which is provided by the professional organization, contains a small number of samples of valuable ancient books and catalog datasets that represent the heritage of Chinese culture and civilization. Students are encouraged to form interdisciplinary teams to use cutting-edge information techniques and digital design tools to deeply explore the value of ancient Chinese classics, to creatively display the cultural, artistic and intellectual properties of ancient Chinese classics in new forms of digital humanistic works, and to realize "creative transformation and innovative application of Traditional Chinese culture". Let ancient books that have been passed down for thousands of years "come alive" in the new era and become popular on the global cultural stage.

There are two data source candidates, the participants can use one or two by themselves.

(1) datasets of images of the original Chinese ancient classics (1.5G), the left part is the dataset list and the right one is the example dataset (Gao Fu's Tomb (Wang Xizhi, Tang). You need to assign an agreement, send the electronic copied version with your signature, and ask for the downloading link. Agreement download link：Downloading Agreement、Data request link：Requesting Data。

(2) Chinese ancient books bibliographic data: including the old Tang book scriptures and books, the Japanese country in the book catalogs, the Song history of arts and literature, the Sui book scriptures and books, the new Tang book arts and literature, etc. Data download link: Ancient books bibliography data set download (about 700KB)

The judging of the works in this track will be done by a comprehensive jury composed of experts in various fields, including culture, technology, design, and art. The results of this track will be announced during ChinaVis, and the final will be organized separately at the end of the year. If you choose data other than the given dataset, you can participate in Track 4: Art Visualization of the "Classics".

Track 4: Art Visualization of the "Classics"

The literature conveys the truth, and the classics preserve the literature. The time travels, talking about past and present. Different eras leave different imprints of civilization. In oracle bone inscriptions, "Dian" means holding the book with both hands respectfully. The original meaning refers to its importance, and later it was extended to important standards and norms, such as paradigms and ordinances. Many important events are described by "Dian", such as founding ceremonies and graduation ceremonies. History is in the heart, in the language, in the story, and also in the wonderful world presented to us in the "Classics(Dian)". Read "Zhuangzi", "Laozi", and "Zhouyi" intensively, and you will have incisive opinions; Read through "Shih Chi", and you will know the past and the present. "Thirty-Six Stratagems" highlights the use of military ingenuity, and "Compendium of Materia Medica" completes collection of unique traditional Chinese medicine; The Four Great Classical Novels of Chinese literature reaches the pinnacle of literature, and "Great Encyclopedia of Yongle" records thousands of years of Chinese civilization. Classical ordinances and statutes are passed on to the descendants. The "Classics(Dian)" carries a heavy cultural color and is a symbolic existence. Follow the "Classics(Dian)" of the past, to open up new literature, to enlighten new wisdom and to inspire the new generation. Let us restart the treasury of the "Classics(Dian)" with a visible code, and draw up the view of the "Classics(Dian)" in the long history of successive civilizations using data visualization.

In this track, participants are required to select relevant datasets for artistic visualization creation within the annual theme of the ChinaVISAP art project "Art Visualization of the "Classics". There is no restriction on the expression method, which aims to unlock the doors of imagination and creativity, encourage the creation and submission of art and design works related to Visualization of the "Classics", and show the multi-dimensional exploration and splendor in the field of visualization.

The entries will be reviewed by a group of domestic and foreign art visualization experts. The evaluation principle is whether the participating teams can effectively express artistic ideas, viewpoints or concepts based on self-selected data through visual, auditory and other artistic forms.

Teachers, students, and researchers from general higher education institutions (including higher education) and research institutes, developers and designers from enterprises and institutions, visualization and visual analytics enthusiasts as well as artists are welcome to participate in the competition. Participants are invented to sign up as teams.

• Track 1 - 3: Each team consists of up to 5 participants, and has 1-2 instructors.
• Track 4: Each team consists of up to 3 participants, and has 1-2 instructors.

The first ranked participant of each team is the team leader and is responsible for communication. The team naming rule is: "Captain's first legal entity name - Captain's name", non-research institutes, enterprises, and institutions, etc. Please fill in the name of "enthusiast team" (enthusiast team means that the participant is a team formed as an individual). For example: "Tianjin University - Zhang San", "enthusiast team - Li Si".

The competition is open for online registration, the registration portal: https://s99x45wjic.jiandaoyun.com/f/623b0a36d5653a0007eae5ff .

The content of the work submission includes (1) work description document; (2) video; (3) representative pictures of the work. Please click on the submission portal to submit your works, and try to avoid submitting works during the peak period of the deadline.

Submission portal

• Track 1 and 2: https://s99x45wjic.jiandaoyun.com/f/623b0a36d5653a0007eae600
• Track 3 and 4: https://s99x45wjic.jiandaoyun.com/f/623b0a36d5653a0007eae5f4

All entries will be submitted to both visual analysis experts, domain experts, and visualization-related artists for comprehensive evaluation. The evaluation will focus on evaluating the thematic orientation and application value of the entries, as well as the effectiveness, novelty and artistry of the entries in terms of interaction design, degree of data utilization, social benefits, analytical ideas and methods, etc.

Entries submitted by all eligible teams by the event deadline will be judged. The competition organizers will not evaluate any entries submitted after the deadline, and the organizers will not be held responsible for any damage, missing entries, or delayed submissions due to computer, Internet, or mobile network failures.

The chairman of the competition committee will select a number of exciting entries in proportion to the results of expert evaluation. At the ChinaVis 2022 conference, award certificates will be presented to all winning teams, and some of the winning teams will be invited to make on-site presentations at the competition session of the conference.

(1) Entries must not violate relevant national laws and regulations, and must not infringe on any third party intellectual property rights or other rights. If the work gives rise to intellectual property objections and disputes, the responsibility shall be borne by the participant.

(2) Participants may use open source or commercial data analysis and visualization software, such as DataV, TableaU, R and Excel, etc. Participants are encouraged to use software development tools to design and implement their own visual analysis solutions or artistic visualization works. Common visualization development tools include D3, ECharts, AntV , and Processing, etc. Participants are requested to clearly state the development tools used and the open-source or commercial software used in the documentation of the work.

(3) The winning team must have at least one person registered with ChinaVis 2022.

(4) Winning teams are required to make their entries into posters and participate in the poster session of ChinaVis 2022, with specific requirements referring to the poster session.

(5) The intellectual property rights of the entries belong to the participants. The organizers of the conference have the right to use the entries, work-related materials, and team information for promotional materials, authorized media releases, official website browsing and downloading, exhibitions (including roving exhibitions), and other activities.

(6) Names and order of participants cannot be changed after the entries have been submitted.