Internal Deadline: Contact ORIF.
LOI: May 10, 2022, 11:59pm ET
External Deadline: June 21, 2022, 11:59pm ET
Award Type: Grant
Estimated Number of Awards: The exact number of awards will depend on the number of meritorious applications and the availability of appropriated funds.
Anticipated Award Amount: $100,000-$300,000 per year
Who May Serve as PI: Individuals with the skills, knowledge, and resources necessary to carry out the proposed research as a Principal Investigator (PI) are invited to work with their organizations to develop an application for assistance. Individuals from underrepresented groups as well as individuals with disabilities are always encouraged to apply for assistance.
Process for Limited Submissions
PIs must submit their application as a Limited Submission through the Office of Research Application Portal: https://orif.usc.edu/oor-portal/.
Materials to submit include:
- (1) Single Page Proposal Summary (0.5” margins; single-spaced; font type: Arial, Helvetica, or Georgia typeface; font size: 11 pt). Page limit includes references and illustrations. Pages that exceed the 1-page limit will be excluded from review.
- (2) CV – (5 pages maximum)
Note: The portal requires information about the PIs and Co-PIs in addition to department and contact information, including the 10-digit USC ID#, Gender, and Ethnicity. Please have this material prepared before beginning this application.
Visualization of data is a powerful means of communication and is essential to the scientific process; allowing us to explore data, form hypotheses, and convey conclusions to a broad spectrum of audiences. This is especially true in the team based, cross-disciplinary environment of the many cutting-edge, large-scale projects funded by the Department of Energy (DOE).
The need for focused investments in technical advancements in visualization for high performance computing has occurred due to multiple factors.1,2 Some of these include the increasing complexity of data, the visualization of uncertainty beyond two-dimensions, the proliferation of new visualization technologies, and the need to make decisions at the edge. Moreover, the need for human centric and interoperable design in visualization tools for scientific computing and simulations is key to avoiding bespoke solutions that limit the engagement of a broader range of domain scientists.
It is also recognized that there is an increasing demand for intuitive visualization that can communicate complex relations not just to scientists across domains, but also policy makers and the public writ large. Visualization is one of the most powerful ways to communicate complex ideas, concepts, and decisions across domains, educational backgrounds, or cultures. There is a need for underrepresented communities to be provided equitable access to information (such as weather patterns in climate change, public health data related to pandemics, etc.), not just to strengthen the scientific discourse, but so that the public can understand the data that policy suggestions or decisions are made upon. Tools and novel techniques in data visualization are needed to help address these issues.
Priority Research Directions
- Advancing theory and techniques for visualization to support the analysis and
understanding of complex scientific data. New techniques and corresponding theory
are needed to develop novel representations, algorithms, and systems to promote
scientific understanding of the many different data types of interest to DOE (multivariate,
multimodal, high dimensional, etc.). Furthermore, abstract information about the
behavior of a complex system or about the inherent uncertainty of a decision could be
more accessible through intuitive visualizations.
- Introducing interoperable and adaptable visualization to support diverse scientific
workflows across all scales. Design, develop, and deploy new portable visualization
tools to support different use cases, that can leverage common infrastructure, maintain
data provenance, and represent uncertainty information, while spanning the needs of a
diverse set of domain users.
- Harnessing technology innovations to accelerate science through visualization.
Rapidly evolving technologies are creating opportunities and challenges for visualization
in areas such as novel interfaces (touch screens, virtual reality, haptic devices, etc.) and
disruptive computing modalities (exascale, edge devices, etc.). New techniques are
needed to take advantage of these areas.
Additionally, submissions that can combine one or more of the following research themes with one or more of the three PRDs above are highly encouraged:
4. Improving equity in accessing and engaging with scientific data and processes. New
approaches to visual communication are needed to change the scientific discourse and
accelerate science into decision making. Visualization to communicate complex ideas
across domains, educational backgrounds and cultures are needed, with a focus on
accessibility to data, transparency, and trustworthiness to promote engagement and
understanding of results from scientific computing.
5. Developing intelligent approaches for adaptive, context aware visualization of
scientific data and artificial intelligence (AI). Technical advances are needed across
multiple fronts: (i) development of mathematical models of perception and cognition to
drive the development and adaptation of next-generation visualization tools and serve as
surrogates for large-scale visualization evaluation studies, (ii) methods to enable the
personalization of visualization tools that enhance the user’s experience while assisting
the user with scientific insights, and (iii) development of robust, scalable, and unbiased
evaluation methods and metrics for visualization tools.
Visit our Institutionally Limited Submission webpage for more updates and other announcement