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SUMMARY:Data Visualization for Scientific Discovery\, Decision-Making\, an
 d Communication
DTSTART;VALUE=DATE:20220621
DTSTAMP:20260407T102455Z
UID:674f03de2c5a5873b698d623db19e5dad1317dab7f33e5865138b49d
CATEGORIES:Call for proposal
DESCRIPTION:AIM: The DOE SC program in Advanced Scientific Computing Resea
 rch (ASCR) hereby announces its interest in basic research in computer sci
 ence exploring innovative approaches in data visualization to support scie
 ntific discovery\, decision-making\, and communication.\nVisualization of 
 data is a powerful means of communication and is essential to the scientif
 ic process\; allowing us to explore data\, form hypotheses\, and convey co
 nclusions to a broad spectrum of audiences. This is especially true in the
  team based\, cross-disciplinary environment of the many cutting-edge\, la
 rge-scale projects funded by the Department of Energy (DOE).\nThe need for
  focused investments in technical advancements in visualization for highpe
 rformance computing has occurred due to multiple factors. Some of these in
 clude the increasing complexity of data\, the visualization of uncertainty
  beyond two-dimensions\, the proliferation of new visualization technologi
 es\, and the need to make decisions at the edge. Moreover\, the need for h
 uman centric and interoperable design in visualization tools for scientifi
 c computing and simulations is key to avoiding bespoke solutions that limi
 t the engagement of a broader range of domain scientists.\nIt is also reco
 gnized 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 deci
 sions across domains\, educational backgrounds\, or cultures. There is a n
 eed for underrepresented communities to be provided equitable access to in
 formation (such as weather patterns in climate change\, public health data
  related to pandemics\, etc.)\, not just to strengthen the scientific disc
 ourse\, but so that the public can understand the data that policy suggest
 ions or decisions are made upon. Tools and novel techniques in data visual
 ization are needed to help address these issues.\n\nAREAS OF INTEREST\n\n	
 Advancing theory and techniques for visualization to support the analysis 
 and understanding of complex scientific data.\n	Introducing interoperable 
 and adaptable visualization to support diverse scientific workflows across
  all scales.\n	Harnessing technology innovations to accelerate science thr
 ough visualization.\n	Improving equity in accessing and engaging with scie
 ntific data and processes.\n	Developing intelligent approaches for adaptiv
 e\, context aware visualization of scientific data and artificial intellig
 ence (AI).\n\nDEADLINE: A pre-application (two pages) is required and must
  be submitted by May 10\, 2022 at 5:00 PM ET. Submission Deadline for Appl
 ications is June 21\, 2022 at 11:59 PM ET.\n\nELIGIBILITY: EPFL researcher
 s are eligible to participate as subawardee or as a prime if they possess 
 skills\, resources and abilities that do not exist among potential applica
 nts in the U.S.\n\nHOW TO APPLY: Get in touch with potential partners in t
 he 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
  https://pamspublic.science.energy.gov/ .\n\nFOR FURTHER INFORMATION: Plea
 se refer to the DE-FOA-0002726 and contact the Research Office for any que
 stion and assistance.\n\n 
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STATUS:CONFIRMED
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