DOE Data Visualization for Scientific Discovery, Decision-Making, and Communication

DOE Data Visualization for Scientific Discovery, Decision-Making, and Communication is sponsored by U.S. Department of Energy (DOE) Office of Science (SC) - Advanced Scientific Computing Research (ASCR). This program supports basic research in computer science exploring innovative approaches in data visualization to support scientific discovery, decision-making, and communication.

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DOE Data Visualization for Scientific Discovery, Decision-Making, and Communication DOE Data Visualization for Scientific Discovery, Decision-Making, and Communication DOE Data Visualization for Scientific Discovery, Decision-Making, and Communication Please see the full solicitation for complete information about the funding opportunity. Below is a summary assembled by the Research & Innovation Office (RIO).

The DOE SC program in Advanced Scientific Computing Research (ASCR) hereby announces its interest in basic research in computer science exploring innovative approaches in data visualization to support scientific discovery, decision-making, and communication.

Accordingly, the ASCR Workshop on the Visualization for Scientific Discovery, Decision- Making, and Communication [1 ] [2 ] was held in January of 2022 to determine opportunities and challenges in visualization tools for scientific computing, with focus on DOE-relevant application areas.

Building on the outcomes of the prior community activity, and aligned with needs highlighted by interagency planning, [3 ] [4 ] the three following important priority research directions (PRDs) were identified: 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.

Each pre-application and application submitted in response to this FOA must address at least one of the PRDs described above. 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: 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.

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.

CU Internal Deadline: 11:59pm MST April 25, 2022 DOE Pre-Application Deadline: 3:00pm MST May 10, 2022 DOE Application Deadline: 9:59pm MST June 21, 2022 Internal Application Requirements (all in PDF format) Project Summary (1 page maximum): Provide the name of the applicant, the project title, the PI and the PI’s institutional affiliation, any coinvestigators (including any unfunded collaborators) and their institutional affiliations, the objectives of the project, a description of the project, including methods to be employed, and the potential impact of the project (i.e., benefits, outcomes).

Budget Overview (1 page maximum): A basic budget outlining project costs is sufficient; detailed OCG budgets are not required. Access Online Application Non-DOE/NNSA FFRDCs are eligible to submit applications under this FOA but are not eligible to be proposed as subrecipients under another organization’s application. Instead, they must submit their own application as the sole applicant or as a team member in a multi-institutional team.

If recommended for funding, either as the sole applicant or in a multi-institutional team, funding may be provided through an interagency agreement to the FFRDC’s sponsoring Federal Agency. Limited Submission Guidelines No more than two pre-applications or applications as the lead institution in a multi- institution team. No more than one pre-application or application for each PI.

Ceiling: DOE National Laboratories: $750,000 per year; All other applicants: $300,000 per year Floor: DOE National Laboratories: $250,000 per year; All other applicants: $100,000 per year DOE anticipates making awards with a project period of three years. Research and expertise across CU Boulder. Our 12 research institutes conduct more than half of the sponsored research at CU Boulder.

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