168  |  Highlights from IEEE VIS'22 with Tamara Munzner

This podcast episode provides an overview of the iTripoli Viz conference, highlighting its various tracks, keynotes, and presentations. It emphasizes the expansion of the conference over the years and the importance of considering language in visualization. The episode discusses the role of text understanding and generation in natural language processing (NLP) and its intersection with visualization. It explores the captivating capstone presentations on historical perspectives and research ethics. The episode also emphasizes the significance of ethical considerations in data visualization and showcases influential papers in the field. It delves into design study methodology, the lifetime achievements of Colin Ware, and the importance of papers and dashboards in visualization. Additionally, it discusses translating research for practitioners, upcoming books in the field, and the exciting advancements in graph neural networks and machine learning model training. The episode concludes by addressing the challenges of integrating research and products, defining paper types, and exploring unconventional approaches in visualization. Takeaways • iTripoli Viz is an international conference featuring panels, workshops, keynotes, art track, and industry track. • Language is considered co-equal with visualization, emphasizing the collaboration between text and images. • Natural Language Processing (NLP) plays a significant role in text understanding and generation. • Historical perspectives and ethical considerations are important topics in research and visualization. • Ethical implications should be considered in data visualization projects to avoid potential harm. • Design study methodology focuses on solving real-world problems and observing users' experience. • Colin Ware's book on information visualization and perception is a valuable resource in the field. • Papers on hierarchical tabular data, dashboard design patterns, and visualization grammar are notable contributions. • Dashboards are gaining recognition as an important research topic and require continued improvement. • Research should be translated into accessible formats, bridging the gap between academia and practitioners. • Graph neural networks and visualization techniques enhance machine learning model training. • Integration of research and products is a challenge in the visualization field. • Proper guidance is essential in defining paper types and contributions in visualization research. • The Altvis workshop promotes unconventional and provocative works in visualization. • The definition and scope of visualization extend beyond traditional boundaries. • Check out unique attractions in Oklahoma City and mark the next year's conference in Melbourne, Australia.