WE PROPOSE A 2-YEAR EFFORT INTENDED TO PRODUCE AS ITS END-PRODUCT A MODEL THAT IS ABLE TO SPECIFY AND FORECAST THE ENERGETIC PARTICLE ENVIRONMENT (I.E. RADIATION BELTS) AND PLASMA CONDITIONS ENCOUNTERED BY SPACECRAFT WITHIN THE EARTH S MAGNETOSPHERE. THE CORE ENGINE OF THE MODEL CONSISTS OF AN ARTIFICIAL NEURAL NETWORK (ANN) WHICH HAS BEEN TRAINED ON AN EXTENSIVE DATA SET FROM A NUMBER OF SATELLITES INCLUDING VAN ALLEN PROBES GOES POES AND THEMIS AND TAKES AS ITS INPUT A TIME SERIES OF GEOMAGNETIC INDICES AND SOLAR WIND PARAMETERS. WE HAVE ALREADY DEVELOPED MATURE ANN MODELS THAT SPECIFY THE STATE OF PLASMASPHERE IN 3D AS A FUNCTION OF TIME AND PRODUCED PILOT ANN MODELS THAT SPECIFY THE RADIATION BELT FLUXES AS WELL AS VARIOUS ELECTROMAGNETIC WAVE FIELDS. TO ENSURE THE EFFECTIVE INTERACTION BETWEEN THE RESEARCH AND OPERATIONAL COMPONENTS OF OUR PROPOSAL OUR TEAM AT UCLA (THE RESEARCH ELEMENT) IS PARTNERING WITH ONE OF THE LEADING COMMERCIAL SPACE WEATHER SPECIFICATION/OPERATIONAL SERVICES (THE OPERATIONAL ELEMENT) SPACE ENVIRONMENT TECHNOLOGIES (SET) HEADED BY DR. KENT TOBISKA. SET HAS DEVELOPED AND OPERATES A NUMBER OF SPECIFICATION MODELS AIMED AT FORECASTING SPACE WEATHER CONDITIONS AT THE EARTH BASED ON SOLAR SPECTROGRAMS AND MAGNETOGRAMS WHICH WILL BE USED AS AN INPUT TO OUR MACHINE LEARNING MODELS. SET ALSO PROVIDES A NUMBER OF SATELLITE RADIATION ENVIRONMENT PREDICTIONS WHICH WE WILL CAREFULLY STUDY AS A PART OF OUR PROPOSED EFFORT AND TAKE INTO ACCOUNT IN OUR RESEARCH EFFORT AS WE DEVELOP THE NEXT GENERATION MODELS. OUR PROPOSAL THUS REPRESENTS A TRUE OPERATIONS-TO-RESEARCH EFFORT AS WELL AS A NOVEL PARTNERSHIP BETWEEN ACADEMIC RESEARCH AND A COMMERCIAL SPACE WEATHER OPERATIONAL SERVICE.