Advanced Scientific Computing Research - Reaching a New Energy Sciences Workforce (ASCR - RENEW)

expired opportunity(Expired)
From: FedConnect(Federal)
DE-FOA-0002942

Basic Details

started - 09 Jan, 2023 (15 months ago)

Start Date

09 Jan, 2023 (15 months ago)
due - 18 Apr, 2023 (12 months ago)

Due Date

18 Apr, 2023 (12 months ago)
Bid Notification

Type

Bid Notification
DE-FOA-0002942

Identifier

DE-FOA-0002942
DOE

Customer / Agency

DOE
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Description ASCR’s mission is to advance applied mathematics and computer science; deliver the most advanced computational scientific applications in partnership with disciplinary science; advance computing and networking capabilities; and develop future generations of computing hardware and software tools for science and engineering, in partnership with the research community, including U.S. industry. The ASCR program gives the science and technology community, including U.S. industry, access to world-class supercomputers and the tools to use them for science and engineering. ASCR accomplishes this by developing and maintaining world-class computing and network facilities for science; and advancing research in applied mathematics, computer science, and advanced networking. ASCR RENEW applications must be responsive to one of the specific topic areas below: Applied Mathematics: Applications are sought to leverage existing expertise at DOE laboratories and/or other partner institutions
to provide hands-on programming, data organization and cleaning, data visualization, and data science experiences to students and postdoctoral researchers from underrepresented groups and institutions. Research collaboration and sharing are essential components in the effective development of computational notebooks to document and replicate new research advances. Notebook interactivity then enables a deeper exploration of other examples and the sharing of further insights from the research. Rigorous mathematical and computationally efficient approaches are essential for analyzing and extracting information and insight from large-scale data relevant to the DOE mission. Topics of specific interest include the use of artificial intelligence (AI), scientific machine learning, and interactive computational notebooks for innovative and reproducible data science research. Popular examples of open-source computational notebooks include Jupyter [1] and Pluto [2], online environments such as Binde Overview Reference number: DE-FOA-0002942 Issue date: 01/09/2023 Response due: 04/18/2023 11:59 PM US/Eastern Set Aside: NAICS: PSC / FSC: Agency: DOE Contracting office: SC Consolidated Service Center – CH Office of Science U.S. Department of Energy 9800 South Cass Avenue Lemont, IL 60439 Place of Performance: Contact: Phone: Fax: Email: Vendors conference: Location: Details:

Lemont, IL 60439Location

Address: Lemont, IL 60439

Country : United StatesState : Illinois

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