November 23, 2021 – The Office of Advanced Scientific Computing Research has announced a call for proposals for its ASCR Workshop on Visualization for Science.
Important dates and links
In order to better understand the challenges and opportunities open and to identify basic research needs for the next generation of visual tools and technologies, the Office of Advanced Scientific Computing Research (ASCR) of the Department of Energy (DOE ) sponsors a workshop on visualization for science. Topics of interest are:
- Visualize complex data
- Multimodal data: Vectors, tensors, time series, spectra, multichamps, etc.
- Large-dimension data: abstract parameter space, phase space, optimization landscapes, etc.
- Support decision making with confidence
- Visualization of uncertainties and sets: Process probabilistic data, sets of results, etc.
- Human factors and ease of use: perception, prevention of interpretation errors, evaluation standards, etc.
- Interpretability of complex systems: explainable AI, plant data, etc.
- Explore new technological frontiers
- Visualization of data and technology at the edge: remote experiments, loT, sensor networks, etc.
- New technology for visualization: VR / AR, non-standard displays, AI for visualization, etc.
- Data at Extreme Scale: Interactive Exploration of Big Data
- Equity in access to science: tools and technologies to support equal access to relevant data and universally interpretable analysis
ASCR invites the community to participate in the form of two-page position papers that identify and discuss key challenges and opportunities for addressing the topics presented above. The program committee will review these position papers and selected contributors will have the opportunity to participate in the workshop. Additionally, position papers will be used to shape the workshop agenda, identify panelists and contribute to the workshop report. Position papers should not describe the authors’ current or planned research, contain material that should not be disclosed to the public, recommend specific solutions, or discuss narrowly focused research topics. Rather, position papers should aim to enhance the community’s shared understanding of the problem space, identify difficult directions for research, and help stimulate discussion.
All submitted submissions will be published as part of the pre-workshop material and an author from each selected submission will be invited to participate in the workshop.
Authors are not required to have a history of funding through the ASCR Computer Science program.
Position papers should follow the following format:
- Authors (with affiliations and email addresses)
- Topics: List of topics covered by the position paper
- Challenge: Identify the limits of leading practice using examples
- Opportunity: Describe how the challenges identified can be addressed, whether through new tools and techniques, new technologies, new methodologies or new groups collaborating in the process
- Topicality or maturity: Why now? What breakthrough or change makes progress possible now where it was not possible before? What will be the impact of success?
- The references
Each position paper should not exceed two pages, including figures and references. The article can include any number of authors, but contact information for a single author who may represent the position paper at the workshop must be provided with the submission. There is no limit to the number of position papers an individual or group can submit. Authors are strongly encouraged to follow the structure described above. Papers should be submitted in PDF format using the designated page on the workshop website.
Submissions will be reviewed by the workshop organizing committee using criteria of overall quality, relevance, likelihood of stimulating constructive discussion, and ability to contribute to an informative workshop report. Unique positions that are well presented and emphasize potentially transformative research directions will be favored.
- Peer-Timo Bremer, Lawrence Livermore National Laboratory
- Georgia Tourassi, Oak Ridge National Laboratory
- Wes Bethel, Lawrence Berkeley National Laboratory
- Kelly Gaither, Texas Advanced Computing Center
- Valerio Pascucci, University of Utah
- Wei Xu, Brookhaven National Laboratory
Sponsor: Department of Energy, Office of Science, Advanced Scientific Computing Research
DOE contact point: Margaret Lentz, [email protected]
Source: DOE Science Office