|19:00-20:15||徐瑞鸽||Introduction to Data Art & Visualization Design|
|20:30-21:30||徐瑞鸽||Concept-Driven Design Process and Fundamental Artistic/Design Principles|
|19:00-20:15||徐瑞鸽||Developing Visual Design and Presentation|
|20:30-21:30||徐瑞鸽||Understanding Audiences and the Role of Design with Data|
|19:00-20:15||徐瑞鸽||Data Storytelling; Design Best Practices|
|20:30-21:30||徐瑞鸽||Visualization Testing; Collaboration in Visualization|
|10:15-11:45||Tim Dwyer||Network Visualization|
|19:00-20:15||Remco Chang||Interactive Machine Learning|
|20:30-21:30||Remco Chang||Analysis of User Interactions (Analytic Provenance)|
|7月20日||8:30-10:00||刘志成||Visualizing Event Sequence Data|
|10:15-11:45||Tim Dwyer||Immersive Analytics|
|19:00-20:15||Jian Chen||Intelligent Augmentation|
|20:30-21:30||Jian Chen||What Can Tables Tell Us About Data?|
|7月21日||8:30-10:00||Michael McGuffin||Multidimensional Multivariate Visualization|
|10:15-11:45||Michael McGuffin||Network Visualization|
|19:00-20:15||Benjamin Bach||Storytelling + Data Comics|
|20:30-21:30||Benjamin Bach||Storytelling + Data Comics|
课程摘要 : 本课程讲授可视化的基础。
课程摘要 : This course explores a concept-driven process and method for creating expressive and effective visualizations. Coupled with a few hand-on exercises, we’ll cover generating suitable, exciting concepts and ideas for visualization; developing and selecting appropriate, effective presentation; designing and enhancing the aesthetics and impact of final outcome. Basic visual design process and fundamental principles in information visualization will be included. We will also broadly discuss how to use data visualization as a means for communicating ideas and stories through reviewing various methods and approaches for visualizing data. This course aims to help both data researchers and artists/designers enhance their artistic knowledge and perceptions, expand their approaches to expressive and effective visualizations, hopefully to achieve a balance among aesthetic quality, design-thinking and statistical rigor in their work.
课程摘要 : 本课程探讨可视化技术的设计空间。
课程摘要 : This lecture will cover fundamental issues related to visualization design. We will review definitions of design in the HCI literature and the objectives of design in InfoVis. Then we will discuss visualization design methods and models. Finally we will talk about current research on visualization design and authoring tools.
课程摘要 : In this talk, Tim Dwyer will reflect on his research network visualisation and the potential of network visualisation to help people to better understand a connected world.
课程摘要 : In this talk, Remco Chang will introduce interactive machine learning and analysis of user interactions (analytic provenance).
课程摘要 : This lecture will cover concepts, visualization techniques and visual analytics approaches for event sequence data. We start with terminology, examples and tasks for event sequences. Then we introduce visualization techniques for such data. Finally we will discuss approaches that combine visual interfaces with automated algorithms for event sequence analysis.
课程摘要 : In this talk, Tim Dwyer will discuss his more recent work in the area of Immersive Analytics, which aims to bring data out of computer centres and into the world around us.
课程摘要 : Convolutional neural network's graphical reading is an emergent area of research to study the machine's ability to visually decoding of information encoded in images containing visualizations. A variety of visualization tasks, benchmarked over visual imagery have driven tremendous progresses in using intelligent machine to aid human's tasks. This tutorial will focus on some of the recently popular tasks in this area such as document understanding, graphical perception, captioning, and visual question answering. We will cover state-of-the-art approaches in each of these areas and discuss key principles that epitomize the core challenges and opportunities in image understanding, extraction, and comparative studies of human and machine's intelligence.
课程摘要 : This session introduces multidimensional multivariate visualization.
课程摘要 : This session introduces network visualization.
课程摘要 : This session introduces into the visual data-driven storytelling. It discusses how to effectively create stories around data and communicate them through a set of media (videos, infographics, comics, etc.). The first part of the session will be a high-level overview over concepts and examples in data-driven storytelling. The second part will be a step-by-step guide to create a storyboard for your own data stories. During this guide, the session will provide activities and time to work in break-out groups on your own projects. No reparation is required for this session. The only material necessary are sheets of paper and simple pens to participate in the sketching sessions.
讲者简介 : 袁晓如博士是北京大学信息科学与技术学院研究员，博士生导师，机器感知与智能教育部重点实验室副主任，大数据分析与应用国家工程实验室常务副主任。2008年初在北京大学建立可视化与可视分析实验室，研究方向包括复杂流场数据可视化，高维／时空数据，交通、社会媒体数据的分析，可视化的快速构建方法。高动态范围可视化的工作获得2005年IEEE VIS大会最佳应用论文奖。2013年来指导实验室团队7次在IEEE VAST可视化分析挑战赛中获奖。数十次担任IEEE VIS, EuroVis, IEEE PacificVis等国际可视化会议程序委员会委员，2017年 IEEE VIS大会论文共同主席（SciVis），创建中国可视化与可视分析（ChinaVis）大会。中国计算机学会理事，杰出会员，杰出讲者。中国计算机学会大数据专家委员会委员，人机交互专委会常务委员和计算机辅助设计与图形学专委会委员。中国图象图形学学会理事、可视化与可视分析专业委员会主任。
讲者简介 : Rebecca Ruige Xu currently teaches computer art as a Professor in College of Visual and Performing Arts at Syracuse University. Her artwork and research interests include artistic data visualization, experimental animation, visual music, interactive installations, digital performance, and virtual reality. Her recent work has appeared at: IEEE VIS Arts Program; SIGGRAPH & SIGGRAPH Asia Art Gallery; ISEA; Ars Electronica; Museum of Contemporary Art, Italy; Los Angeles Center for Digital Art, USA; FILE– Electronic Language International Festival, Brazil; Techfest -Technical Arts Exhibition, India; Colloquium culture and digitization, Switzerland; CYNETart, Germany; International Digital Art Exhibition, China. Xu served on the Media Arts Advisory Panel for the U.S. National Endowment for the Arts, was the Co-Chair for 2019, 2021 IEEE PacificVIS Visual Storytelling Contest. She is currently on the Executive Committee for the Association of Chinese Artists in American Academia, and is serving as the Exhibition Chair for 2021 IEEE VIS Arts Program and the Co-Chair for ChinaVIS Conference Arts Program.
讲者简介 : Remco Chang is an Associate Professor in the Computer Science Department at Tufts University. He received his BA from Johns Hopkins University in 1997 in Computer Science and Economics, MSc from Brown University in 2000, and PhD in Computer Science from UNC Charlotte in 2009. Prior to his PhD, he worked for Boeing developing real-time flight tracking and visualization software, followed by a position at UNC Charlotte as a research scientist. His current research interests include visual analytics, information visualization, HCI, and databases. His research has been funded by the NSF, DARPA, Navy, DOD, the Walmart Foundation, DHS, MIT Lincoln Lab, and Draper. He has had best paper, best poster, and honorable mention awards at InfoVis, VAST, CHI, and VDA and was one of the program chairs of the IEEE VIS conference in 2018 and 2019. He is currently an associate editor for the ACM TiiS journal and the IEEE TVCG journal. He received the NSF CAREER Award in 2015. He has supervised a number of PhD students and postdocs who became professors in Computer Science (at Smith College, DePaul, Washington University in Saint Louis, University of Maryland, University of San Francisco, Bucknell, WPI, San Francisco State, the University of Utrecht, and Northeastern) and in industry research (Google, Facebook, MIT Lincoln Lab, Draper, and Novartis).
讲者简介 : Tim Dwyer is Australia’s foremost Information Visualisation researcher with 18 papers at the premier conference for this discipline, CORE A*-ranked IEEE InfoVis. He also has publications on topics in data visualisation, visual analytics and human computer interaction in ACM CHI, ACM UIST, IEEE VAST, IEEE PacificVis, EuroVis, Interact, Graph Drawing, Diagrams, IEEE TVCG, WWW and others. He has over 80 papers total, with over 3,000 citations and an h-index of 33. He has received two best paper and one Honourable Mention for best paper award at the IEEE VIS Conference, as well as best-paper awards at IEEE PacificVis and IEEE BDVA. In 2018 and 2019 he was recognised in The Australian newspaper Research Magazine as Australia’s foremost Computer Graphics researcher based on his publications in premier computer graphics journals. His work combines expertise in algorithms, optimisation and interaction design and evaluation. His career has spanned industry as well as academia and he has developed techniques for network visualisation, set visualisation and multidimensional scaling that have seen practical application in numerous software projects, including Microsoft Visual Studio.
讲者简介 : Michael McGuffin is a professor at ETS, a French-language engineering school in Montreal, Canada, where his students conduct research in Human-Computer Interaction (HCI), visualization, virtual reality (VR) and augmented reality (AR). Before joining ETS, he did a Ph.D. at University of Toronto, and before that, he worked as a software developer at a few companies, including Alias|wavefront and Discreet Logic (both now part of Autodesk). In 2009, his paper at the IEEE Information Visualization Conference (InfoVis 2009) received an Honourable Mention for best paper award.
讲者简介 : Chen Jian is an associate professor at the Department of Computer Science and Engineering at The Ohio State University. She received PhD degree in Computer Science from Virginia Tech advised by Doug A. Bowman and did postdoctoral work with David H. Laidlaw at Computer Science Department at Brown University. Her research centers around the fascinating interdisciplinary science of interactive visualization and virtual reality. She is directing the OSU Interactive Visual Computing Lab , where she works with the most brilliant students and colleagues worldwide to understand how humans see, make sense, retain, and understand information and to design and study new interactive metaphors and visualization to augment scientists' ability to explore vast amount of data on desktop or immersive virtual environments. Her current methods combine cognitive and perceptual experiments and mathematical modeling.
讲者简介 : Zhicheng Liu is an assistant professor in the department of computer science at University of Maryland. Prior to joining UMD in August 2021, he was a research scientist at the Creative Intelligence Lab, Adobe Research. Zhicheng received his PhD in the Human-Centered Computing program from Georgia Tech and was a postdoctoral fellow at the Department of Computer Science of Stanford University. His research on data visualization and human-data interaction has received multiple awards from the ACM CHI and IEEE VIS conferences.
讲者简介 : Benjamin is a Lecturer in Design Informatics and Visualization at the University of Edinburgh where he is heading the VisHub research group (https://visualinteractivedata.github.io/). His research designs and investigates interactive information visualization interfaces to help people explore, communicate, and understand data across media such as screens, mixed reality, paper, and physicalizations. Benjamin has beenworking extensively on data-driven storytelling through data comics (datacomics.github.io).Before joining the University of Edinburgh in 2017, Benjamin worked as a postdoc at Harvard University (Visual Computing Group), Monash University, as well as the Microsoft-Research Inria Joint Centre. Benjamin was visiting researcher at the University of Washington and Microsoft Research in 2015. He obtained his PhD in 2014 from the Université Paris Sud where he worked at the Aviz Group at Inria. The PhD thesis entitled Connections, Changes, and Cubes: Unfolding Dynamic Networks for Visual Exploration got awarded an honorable mention as the Best Thesis by the IEEE Visualization Committee. In 2019, Benjamin got awarded the Eurographics Young Researcher Award.