Predictive Science Incorporated

Predictive Science Incorporated is a for-profit research and analysis organization located in San Diego, California, specializing in advanced computational modeling, scientific research, and data analysis focused on space weather, solar physics, and heliophysics. The company provides sophisticated scientific services to federal agencies, primarily through research contracts and grants that involve developing complex computational models, performing scientific analyses, and creating visualization tools for understanding solar activity and its potential impacts on space environments. Registered in SAM.gov since October 8, 2008, the company has consistently demonstrated expertise in developing innovative tools and models for predicting and understanding solar phenomena.

Through federal contract awards, Predictive Science Incorporated has worked extensively with agencies like the Office of Naval Research and the Shared Services Center, delivering specialized modeling and analysis support for space weather monitoring programs. The company has received multiple Small Business Innovation Research (SBIR) contracts, including firm-fixed-price awards for developing advanced tools like MAGPY for probabilistic forecasts of solar energetic particles. Their contract work often involves creating computational models for space weather programs, with specific focus on projects like modeling the Wide-field Imager for Solar Probe (WISPR) and Solar Orbiter Heliospheric Imager (SOLOHI). Many of their contract awards are set aside for small businesses, and they have received cost-plus-fixed-fee and definitive contracts ranging from approximately $59,000 to $1.7 million.

In their federal grant work, Predictive Science Incorporated has primarily collaborated with NASA and the National Science Foundation, focusing on research projects related to solar physics, coronal mass ejections (CMEs), and space weather phenomena. Their grant awards involve developing advanced computational models, performing scientific research, and creating analytical tools to understand solar activity. Specific grant projects have included investigating the evolution of CMEs in the corona and inner heliosphere, linking surface magnetic fields to solar corona dynamics, and developing Python packages for exploring global coronal and heliospheric model results. They have received grants ranging from around $80,000 to nearly $4 million, working with funding agencies like the Division of Astronomical Sciences and the Division of Atmospheric and Geospace Sciences. The company has also engaged in sub-grant work with organizations like the Council of State and Territorial Epidemiologists and Massachusetts Institute of Technology, demonstrating versatility in research collaboration.