Interactive Visualization and Analysis
of High-Dimensional Scientific Data
Interactive Visualization and Analysis of High-Dimensional Scientific Data
June 13-15, 2023
Workbar Downtown, Boston, MA
Overview: Large, high-dimensional scientific (numeric) data is difficult for domain scientists to visualize. Successful visualization of such data can help scientists develop intuition about their data and discover new and unexpected patterns. Several dimensionality reduction (projection) techniques exist, such as t-SNE, UMAP, Isomap, and many others. However, it can be difficult to trust or draw meaning from the underlying data from current projection methods, for example, trusting the retention of the underlying data structure or understanding features that drive separation. The purpose of the workshop is to invite domain scientists – from fields including, but not limited to, biology, physics, chemistry, engineering, and earth sciences – and visualization experts to co-develop the next generation of interactive high-dimensional data visualization techniques. We aim to collect and summarize the key requirements from the perspective of the domain scientists and the technical challenges faced by the visualization researchers.
The workshop is the first step towards a unified coordination of effort between academic and industry research. By gathering a diverse group of leaders in academia and domain scientists from industry, we will draft a formalized, unified definition of the problem space in visualizing high-dimensional data and propose a foundational roadmap on how to solve this challenge.
Workshop Structure: The workshop will include:
– Introductions and research talks from all participants
– Working groups / breakout groups
– Drafting and formalization of the problem space in the form of a report that contains actionable items for research.
Attendees: The conference is free and travel/lodging will be reimbursed. Due to the cost of covering attendee travel expenses, attendance will be limited and is by invitation only. If you are interested in attending, please fill out this form.
Organizing Committee
- Dr. Remco Chang and Dr. Jen Rogers from the Computer Science department at Tufts University conduct research in visual analytics and visualization design.
- Dr. Nils Ghelenborg and Dr. Qianwen Wang from the Harvard Medical School are experts in the computation and visualization of high-dimensional biological and medical data.
- Dr. Cory White (Principal Scientist at Merck) and Dr. Erik Anderson (Executive Director of Visualization and Imaging at Novartis) are experts in life sciences research. They provide an industry perspective on high-dimensional data visualization and analysis.
- Dr. Steven Lopez from Northeastern is an expert in theoretical chemistry and organic photovoltaics. He and his lab work with high-dimensional data on a regular basis for their research.