A formal study on Machine Learning (ML) and geospatial regression methods for processing Green House Gases (GHG) and air pollutants

Synopsis:

NASA/NSSC has a requirement for A formal study on Machine Learning (ML) and geospatial regression methods for processing Green House Gases (GHG) and air pollutants. 

NASA/NSSC intends to issue a sole source contract to George Mason University 4400 University DR Fairfax, Virginia 22030-4422 United States under the authority of FAR 13.106-1(b)(1)(i). It has been determined that George Mason University is the sole provider of A formal study on Machine Learning (ML) and geospatial regression methods for processing Green House Gases (GHG) and air pollutants.

NASA/NSSC will be the procuring center for this effort.  Performance will be located at NASA/ Goddard Space Flight Center (GSFC).

The NAICS Code for this procurement is 611310

Interested organizations may submit their capabilities and qualifications to perform the effort in writing to the identified point of contact not later than 08:00 a.m. Central Standard Time on April 21, 2023. Such capabilities/qualifications will be evaluated solely for the purpose of determining whether or not to conduct this procurement on a competitive basis. A determination by the Government not to compete this proposed effort on a full and open competition basis, based upon responses to this notice, is solely within the discretion of the government.

Oral communications are not acceptable in response to this notice.

FAR 52.213-4 Terms and Conditions-Simplified Acquisitions (Other Than Commercial Items) (Mar 2016) is hereby incorporated by reference.

NASA Clause 1852.215-84, Ombudsman, is applicable. The Center Ombudsman for this acquisition can be found at http://prod.nais.nasa.gov/pub/pub_library/Omb.html .