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


Event details

Date 21.06.2022  
Category Call for proposal
AIM: 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.
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 highperformance computing has occurred due to multiple factors. 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.

  • Advancing theory and techniques for visualization to support the analysis and understanding of complex scientific data.
  • Introducing interoperable and adaptable visualization to support diverse scientific workflows across all scales.
  • Harnessing technology innovations to accelerate science through visualization.
  • Improving equity in accessing and engaging with scientific data and processes.
  • Developing intelligent approaches for adaptive, context aware visualization of scientific data and artificial intelligence (AI).
DEADLINE: A pre-application (two pages) is required and must be submitted by May 10, 2022 at 5:00 PM ET. Submission Deadline for Applications is June 21, 2022 at 11:59 PM ET.

ELIGIBILITY: EPFL researchers are eligible to participate as subawardee or as a prime if they possess skills, resources and abilities that do not exist among potential applicants in the U.S.

HOW TO APPLY: Get in touch with potential partners in the U.S. if you wish to participate as a partner in a collaborative project. To apply as a prime, pre-applications must be submitted electronically through the DOE SC Portfolio Analysis and Management System (PAMS) website .

FOR FURTHER INFORMATION: Please refer to the DE-FOA-0002726 and contact the Research Office for any question and assistance.


Practical information

  • General public
  • Free