Transformations in many fields are enabled by rapid advances in our ability to acquire and generate data. The bottleneck to discovery is now our ability to analyze and make sense of heterogeneous, noisy, streaming, and often massive datasets. Extracting knowledge or insights from this abundance of data lies at the heart of 21st-century discovery, which can be used to inform decisions, coordinate activities, optimize processes, improve products and services, as well as enhance productivity and innovation across a wide range of business and scientific problems.
Data science is the practice of deriving insights from data enabled by statistical modeling, computational methods, interactive visual analysis, and domain-driven problem-solving. Data science draws from methodology developed in such fields as applied mathematics, statistics, machine learning, data mining, data management, visualization, and HCI. It drives discoveries in business, economy, biology, medicine, environmental science, the physical sciences, the humanities and social sciences, and beyond.
Visualization is an integral part of data science, and essential to enable sophisticated analysis of data. After nine highly successful events, the tenth Symposium on Visualization in Data Science (VDS) will be held at IEEE VIS 2024.
This year, we have a special theme soliciting contributions concerning ‘Data Science in the Age of AI.’ We encourage authors to submit their work involving systems, techniques, studies, and theories relating to the relationship between AI and data science work. Unlike previous years, we also encourage the submission of position papers if they belong to the special theme. If you are submitting a position paper be sure to clearly state so in the abstract.
Submitting a short or long paper to VDS will give authors a chance to present at VDS at IEEE VIS 2024.
Please use vds@ieeevis.org to get in touch with us, or follow us on Twitter at @VisualDataSci.
Anamaria Crisan, Tableau Research
Dylan Cashman, Brandeis University
Adam Perer, Carnegie Mellon University
Liang Gou, Bosch Research
Alvitta Ottley, Washington University in St. Louis
10月14日
2024
会议日期
注册截止日期
2022年10月16日 美国 Oklahoma City
2022 IEEE Visualization in Data Science2018年10月22日 德国
2018 IEEE Visualization in Data Science2017年10月01日 美国 Phoenix
2017 IEEE Visualization in Data Science
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