This study describes a data-driven visualization approach to the systemic study of innovations in global supply chain networks. We demonstrate its applicability with illustrative examples of real-world supply chain in the electronics industry. Our visualization approach enhances the hypothesis-generating process as it can reveal important clusters, patterns, trends, and outliers in the networks.
The project's goal is to help people to identify some of the variables involved in air traffic safety, and understand that air traffic safety relies on both technology and the people who control it. Hopefully, it will be illuminating to anyone concerned with air traffic safety.
The design and production of complex engineered systems (CES) require analysis of massive amounts of detailed information, including data on products and materials, engineering designs, manufacturing specifications, supply chain and delivery data, and changing customer needs. Visual analytics promises to offer tools and methods that will help stakeholders interactively explore, discover, and make sense of the underlying data.
There is a scarcity of trained healthcare professionals in India. Further, the current approach to healthcare delivery in India is symptom-driven and fails to address the underlying causes of disease which may be a result of the local socioeconomic, cultural, gender, environmental, or infrastructural situation. Chitra is a mobile platform that empowers community health workers to fill this gap between government healthcare delivery and patients' lived realities.
A visualization system for portraying the jumps in men's and ladies' single figure skating programs. Data is from the International Skating Union's score tables for world championships in the last 6 years. The objective is to better interpret the score tables by visualizing the program composition of top skaters, as well as showing a trend of the sport in general.
The PGA Tour provides an extensive data collection of information about players' performance and individual shots over the past few years. This collection is called ShotLink data. In this project we are building an interactive visualization system that will allow the viewer to easily browse and explore the golf shot data to learn more about the performance of all the players on tour. The system presents a variety of different statistics including scoring, driving accuracy, greens in regulation, putting, and so on.
We have created a visual interface to explore the history of the top 100 U.S. golf course rankings from Golf Digest and Golf Magazines. A viewer can explore the courses geographically via a map or through the individual ordered lists from the magazines. The system shows how each course's ranking has changed over the years, and it allows the viewer to explore courses by particular architects.
Improve the usabilty of a vaccine data visualization, including ways to visualize uncertainty
Face-to-face video communication technologies have grown tremendously in recent years, however they are not designed to provide a persistent sense of remote presence. More recently, telepresence robots give single users the ability to have a remote and mobile physical presence in another space. Combining telepresence robotics with persistent large-scale displays and multiple viewports, VPorter creates a telepresence ecology to support team collaboration across remote but connected lab spaces.
WAG'D is a platform for real-time monitoring and characterization of canine health and performance during training and high-intensity athletic activities such as sled pulling and canine cross-country. We focus on working to improve training outcomes, and reduce the incidence of injury during training and competition events.
People increasingly rely on visual representations of information to explore and make sense of data. However, people have inherent biases that often lead to errors and inefficiencies in the decision making process. The goal of our research is to help people make better decisions while exploring and analyzing data using visualizations. We introduce computational methods for quantifying an analyst’s biases based on their interactions in the visualization. Using that information, we illustrate ways to modify or design new visualization systems that mitigate biased decision making.
Data visualization can be an important guiding force in scientific debates and casual discussions alike. Bringing data visibly into the world can inform and bring attention to critical issues, as well as help us develop a more personal relationship with the data. This project aims to promote awareness and stimulate discussion about climate change through visualizing personal carbon footprint data on clothing. It explores the placement of visualizations in the social sphere, as well as revealing unseen individual and systematic responsibility for carbon emissions.
Visualizing sets to reveal relationships between constituent elements is a complex representational problem. Recent research presents several automated placement and grouping techniques to highlight connections between set elements. However, these techniques do not scale well for sets with cardinality greater than one hundred elements. We present OnSet, an interactive, scalable visualization technique for representing large-scale binary set data.
The AEL has been preparing and pioneering this idea for ten years with our custom browser, Argon. Drawing on this background, we are now transitioning to the use of open-source technology such as A-frame and the Mozilla browser, WebXR viewer.