OpportunityTitle: Data-Intensive Scientific Machine Learning and Analysis
AdditionalInformationOnEligibility: All types of applicants are eligible to apply, except nonprofit organizations described in section 501(c)(4) of the Internal Revenue Code of 1986 that engaged in lobbying activities after December 31, 1995.  Applicants that are not domestic organizations should be advised that:  &#61623; Individual applicants are unlikely to possess the skills, abilities, and resources to successfully accomplish the objectives of this FOA. Individual applicants are encouraged to address this concern in their applications and to demonstrate how they will accomplish the objectives of this FOA.  &#61623; Non-domestic applicants are advised that successful applications from non-domestic applicants include a detailed demonstration of how the applicant possesses skills, resources, and abilities that do not exist among potential domestic applicants.  Applications that are submitted by applicants that have not submitted a required pre-application will be declined without further review.  Federally-affiliated entities must adhere to the eligibility standards below:  1. DOE/NNSA National Laboratories  DOE/NNSA National Laboratories are eligible to submit applications (either as a lead organization or as a team member in a multi-institutional team) under this FOA but may not be proposed as subrecipients under another organization&#8217;s application. If recommended for funding as a lead applicant, funding will be provided through the DOE Field-Work Proposal System. Additional instructions for securing authorization from the cognizant Contracting Officer are found in Section VIII of this FOA.  2. Non-DOE/NNSA FFRDCs  Non-DOE/NNSA FFRDCs are not eligible to submit applications under this FOA but may be proposed as subrecipients under another organization&#8217;s application. If recommended for funding as a proposed subrecipient, the value of the proposed subaward may be removed from the prime  8  applicant&#8217;s award and may be provided through an Inter-Agency Award to the FFRDC&#8217;s sponsoring Federal Agency. Additional instructions for securing authorization from the cognizant Contracting Officer are found in Section VIII of this FOA.  3. Other Federal Agencies  Other Federal Agencies are neither eligible to submit applications under this FOA nor to be proposed as subrecipients under another organization&#8217;s application.
Description: The DOE SC program in Advanced Scientific Computing Research (ASCR) hereby announces its interest in research applications to explore potentially high-impact approaches in the development and use of artificial intelligence (AI) and machine learning (ML) for scientific insights from massive data generated by simulation, experiments, and observations.
GrantorContactEmailDescription: Program Manager&apos;s Email
GrantorContactText: Steven Lee &lt;br/&gt;Program Manager &lt;br/&gt;Phone 301-903-5710