NEXTGEN federal systems (NEXTGEN), a small business concern (SBC), is excited to propose a powerful software package, coupled database, and a machine-learning (ML) workflow to support streamlined…

The National Oceanic and Atmospheric Administration (NOAA) awarded a $349,932 SBIR Project Grant to NextGen Federal Systems LLC, a minority-owned small business and certified HUBZone firm, to develop the "Machine Intelligence for Space Weather" (MINTS) capability. The MINTS project will create a software package, coupled database, and machine learning workflow to support streamlined evaluation and research-to-operations transition of space weather machine learning models. This award is funded through the NOAA SBIR Program (CFDA 11.021), which aims to stimulate technological innovation and commercialization of federal research in NOAA's mission areas. The project will be executed over a 6-month period from September 1, 2023 to February 29, 2024.

NEXTGEN federal systems (NEXTGEN), a small business concern (SBC), is excited to propose a powerful software package, coupled database, and a machine-learning (ML) workflow to support streamlined evaluation and research-to-operations (R2O) of space weather ML models and techniques. In response to the NOAA effect of space weather subtopic (NOAA sbir 9.5), we propose the machine intelligence for space weather (MINTS) capability. MINTS addresses the sbir topic call for "integrating emergent technologies, such as machine learning and artificial intelligence to enhance space weather capabilities." space weather data-driven ML approaches have been shown to outperform statistical and physics-based approaches in many settings. However, ML results in the literature have historically been difficult to reproduce when the code or datasets are not available, and the runtime environment is not well documented. This makes IT challenging to evaluate for potential transition to testbe