Goddard's IRAD program is managed under Goddard's Office of Chief Technologist. Activities are coordinated in collaboration with the Sciences and Exploration Directorate; Applied Engineering and Technology Directorate; Flight Projects Directorate; Wallops Flight Facility; New Opportunites Office; SBIR/STTR program; Goddard Strategic Partnerships Office; and the Export Compliance Office.
IRAD provides"seed funding" to develop concepts, reduce technology risk, and advance human capital and technological capabilities. The program is highly competitive, opportunity-driven, and 100% strategically aligned with NASA's and GSFC's strategic priorities. A significant portion of the program is focused on Early Stage Innovations for high-risk, strategically aligned, potential high-payoff technologies that are longer-term or lower TRL.
","parentProgram":{"ableToSelect":false,"acronym":"IRAD","isActive":true,"programId":87,"responsibleMd":{"canUserEdit":false,"locationEdit":false,"organizationRolePretty":"","organizationTypePretty":""},"title":"Center Independent Research & Development","acronymOrTitle":"IRAD"},"parentProgramId":87,"programId":153,"responsibleMd":{"organizationId":4910,"organizationName":"Mission Support Directorate","acronym":"MSD","organizationType":"NASA_Mission_Directorate","canUserEdit":false,"locationEdit":false,"organizationRolePretty":"","organizationTypePretty":"NASA Mission Directorate"},"responsibleMdOffice":4910,"title":"Center Independent Research & Development: GSFC IRAD","acronymOrTitle":"GSFC IRAD"},"acronym":"pFANtASY","description":"The Precision Formation Alignment Navigation System, or pFANtASY, is an integrated guidance and navigation subsystem for the acquisition and fine alignment of a dual spacecraft distributed science instrument mission. pFANtASY will acquire another spacecraft at up to 100m distance at 18 m down to 5-micron accuracy. This is achieved by a staggered set of instruments used for sensing illuminated spots on the target spacecraft. Initial acquisition is achieved with a camera-based acquisition mode that senses a set of illuminated beacons to 18m to 1 cm accuracy. Then a precise centration system comprised of a laser optic and quad-cell detector to sense relative position from 2 cm down to 20 micron accuracy. These sensor signals are ingested into navigation software to eliminate noise and produce the <5micron 3-sigma accuracy required. The components currently selected take an estimated 3 kg mass, 10 W power, and 4U volume but can be scaled to meet the needs of larger spacecraft.
","benefits":"pFANtASY will enable a new class of science investigations needing instrumentation distributed across multiple spacecraft platforms. These distributed spacecraft missions span the 4 primary NASA science disciplines of astrophysics, earth science, heliophysics, and planetary sciences. The concepts developed span the NASA mission classes, ranging from Small Satellite technology demonstration missions all the way to flagship science missions. pFANtASY is designed for a small sat platform and will enable small sat missions seeking to employ a distributed instrument architecture. By demonstrating the ability to acquire micron level relative position sensing, pFANtASY will reduce risk for larger SMEX, MIDEX, and flagship-class science missions.
","releaseStatus":"Released","status":"Completed","viewCount":715,"destinationType":["Sun","Earth","Others_Inside_the_Solar_System"],"trlBegin":2,"trlCurrent":3,"trlEnd":4,"lastUpdated":"10/10/18","favorited":false,"detailedFunding":false,"projectContacts":[{"contactId":23,"canUserEdit":false,"firstName":"Jason","lastName":"Mitchell","fullName":"Jason W Mitchell","fullNameInverted":"Mitchell, Jason W","middleInitial":"W","email":"jason.w.mitchell@nasa.gov","receiveEmail":"Subscribed_User","projectContactRole":"Project_Manager","projectContactId":8343,"projectId":93258,"programContactRolePretty":"","projectContactRolePretty":"Project Manager"},{"contactId":506527,"canUserEdit":false,"firstName":"Michael","lastName":"Johnson","fullName":"Michael A Johnson","fullNameInverted":"Johnson, Michael A","middleInitial":"A","email":"michael.a.johnson@nasa.gov","receiveEmail":"Subscribed_User","projectContactRole":"Project_Manager","projectContactId":8344,"projectId":93258,"programContactRolePretty":"","projectContactRolePretty":"Project Manager"},{"contactId":352871,"canUserEdit":false,"firstName":"Neerav","lastName":"Shah","fullName":"Neerav Shah","fullNameInverted":"Shah, Neerav","email":"neerav.shah-1@nasa.gov","receiveEmail":"Subscribed_User","projectContactRole":"Principal_Investigator","projectContactId":29859,"projectId":93258,"programContactRolePretty":"","projectContactRolePretty":"Principal Investigator"},{"contactId":27098,"canUserEdit":false,"firstName":"Anne-Marie","lastName":"Novo-Gradac","fullName":"Anne-marie D Novo-gradac","fullNameInverted":"Novo-Gradac, Anne-marie D","middleInitial":"D","email":"anne-marie.novo-gradac-1@nasa.gov","receiveEmail":"Subscribed_User","projectContactRole":"Co_Investigator","projectContactId":40414,"projectId":93258,"programContactRolePretty":"","projectContactRolePretty":"Co-Investigator"},{"contactId":165060,"canUserEdit":false,"firstName":"Gerardo","lastName":"Cruz-Ortiz","fullName":"Gerardo E Cruz-ortiz","fullNameInverted":"Cruz-Ortiz, Gerardo E","middleInitial":"E","email":"gerardo.e.cruz-ortiz@nasa.gov","receiveEmail":"Subscribed_User","projectContactRole":"Co_Investigator","projectContactId":42365,"projectId":93258,"programContactRolePretty":"","projectContactRolePretty":"Co-Investigator"},{"contactId":172484,"canUserEdit":false,"firstName":"Guangning","lastName":"Yang","fullName":"Guangning Yang","fullNameInverted":"Yang, Guangning","email":"guangning.yang-1@nasa.gov","receiveEmail":"Subscribed_User","projectContactRole":"Co_Investigator","projectContactId":33,"projectId":93258,"programContactRolePretty":"","projectContactRolePretty":"Co-Investigator"},{"contactId":375275,"canUserEdit":false,"firstName":"Philip","lastName":"Calhoun","fullName":"Philip C Calhoun","fullNameInverted":"Calhoun, Philip C","middleInitial":"C","email":"philip.c.calhoun@nasa.gov","receiveEmail":"Subscribed_User","projectContactRole":"Co_Investigator","projectContactId":25515,"projectId":93258,"programContactRolePretty":"","projectContactRolePretty":"Co-Investigator"},{"contactId":429217,"canUserEdit":false,"firstName":"Sean","lastName":"Semper","fullName":"Sean R Semper","fullNameInverted":"Semper, Sean R","middleInitial":"R","email":"sean.r.semper@nasa.gov","receiveEmail":"Subscribed_User","projectContactRole":"Co_Investigator","projectContactId":17176,"projectId":93258,"programContactRolePretty":"","projectContactRolePretty":"Co-Investigator"}],"programContacts":[{"contactId":43382,"canUserEdit":false,"firstName":"Bhanu","lastName":"Sood","fullName":"Bhanu P Sood","fullNameInverted":"Sood, Bhanu P","middleInitial":"P","email":"bhanu.sood@nasa.gov","receiveEmail":"Subscribed_User","programContactRole":"Program_Manager","programContactId":395,"programId":153,"programContactRolePretty":"Program Manager","projectContactRolePretty":""}],"leadOrganization":{"organizationId":4947,"organizationName":"Goddard Space Flight Center","acronym":"GSFC","organizationType":"NASA_Center","city":"Greenbelt","stateTerritoryId":3,"stateTerritory":{"abbreviation":"MD","country":{"abbreviation":"US","countryId":236,"name":"United States"},"countryId":236,"name":"Maryland","stateTerritoryId":3,"isTerritory":false},"country":{"abbreviation":"US","countryId":236,"name":"United States"},"countryId":236,"zipCode":"20771","projectId":93258,"projectOrganizationId":10158,"organizationRole":"Lead_Organization","canUserEdit":false,"locationEdit":false,"organizationRolePretty":"Lead Organization","organizationTypePretty":"NASA Center"},"otherOrganizations":[{"organizationId":4947,"organizationName":"Goddard Space Flight Center","acronym":"GSFC","organizationType":"NASA_Center","city":"Greenbelt","stateTerritoryId":3,"stateTerritory":{"abbreviation":"MD","country":{"abbreviation":"US","countryId":236,"name":"United States"},"countryId":236,"name":"Maryland","stateTerritoryId":3,"isTerritory":false},"country":{"abbreviation":"US","countryId":236,"name":"United States"},"countryId":236,"zipCode":"20771","projectId":93258,"projectOrganizationId":10158,"organizationRole":"Lead_Organization","canUserEdit":false,"locationEdit":false,"organizationRolePretty":"Lead Organization","organizationTypePretty":"NASA Center"}],"primaryTx":{"taxonomyNodeId":11486,"taxonomyRootId":8817,"parentNodeId":11485,"code":"TX17.5.1","title":"GN&C System Architectures, Requirements, and Specifications","description":"This area covers technologies for modern tools and tool sets that support the development of GN&C conceptual and behavioral models and requirements and the development of system specifications to meet requirements. This area includes technologies that support the assessment of architectural autonomy trades (e.g., advanced GN&C system engineering tools that reveal where infusion of autonomy has the greatest payoff or return on investment in terms of mission performance and risk).","exampleTechnologies":"GN&C system architectural trade analysis tools/codes, GN&C system sensitivity analysis tools/codes, multi-parameter system optimization tools/codes","level":3,"hasChildren":false,"selected":false,"isPrimary":true,"hasInteriorContent":true},"primaryTxTree":[[{"taxonomyNodeId":11464,"taxonomyRootId":8817,"code":"TX17","title":"GN&C","level":1,"hasChildren":true,"selected":false,"hasInteriorContent":true},{"taxonomyNodeId":11485,"taxonomyRootId":8817,"parentNodeId":11464,"code":"TX17.5","title":"GN&C Systems Engineering Technologies","description":"This area covers technologies for developing GN&C architectures and fault management systems and providing and improving the testing and verification of GN&C systems.","level":2,"hasChildren":true,"selected":false,"hasInteriorContent":true},{"taxonomyNodeId":11486,"taxonomyRootId":8817,"parentNodeId":11485,"code":"TX17.5.1","title":"GN&C System Architectures, Requirements, and Specifications","description":"This area covers technologies for modern tools and tool sets that support the development of GN&C conceptual and behavioral models and requirements and the development of system specifications to meet requirements. This area includes technologies that support the assessment of architectural autonomy trades (e.g., advanced GN&C system engineering tools that reveal where infusion of autonomy has the greatest payoff or return on investment in terms of mission performance and risk).","exampleTechnologies":"GN&C system architectural trade analysis tools/codes, GN&C system sensitivity analysis tools/codes, multi-parameter system optimization tools/codes","level":3,"hasChildren":false,"selected":true,"hasInteriorContent":true}]],"additionalTxs":[{"taxonomyNodeId":11471,"taxonomyRootId":8817,"parentNodeId":11468,"code":"TX17.2.3","title":"Navigation Sensors","description":"This area covers technologies for onboard sensors and sensor systems (sensor hardware and embedded sensor software) that take the measurements required to estimate flight path, orbit, and trajectory parameters. This area includes navigation sensors and sensor systems for both absolute navigation functions and relative navigation functions.","exampleTechnologies":"Inertial Measurement Units (IMUs), precision gyroscopes, accelerometers, GPS/Global Navigation Satellite System (GNSS) receivers, LIDARs, laser rangefinders, laser altimeters, radio frequency (RF)-based inter-spacecraft ranging systems, visible wavelength cameras, infrared wavelength cameras, precision frequency and timing devices such as oscillators and clocks, cold atom sensors, navigation transponders, navigation beacons, velocimeters, radars","level":3,"hasChildren":false,"selected":false,"isPrimary":false,"hasInteriorContent":true},{"taxonomyNodeId":11466,"taxonomyRootId":8817,"parentNodeId":11465,"code":"TX17.1.1","title":"Guidance Algorithms","description":"This area covers technologies for the development of algorithms and associated software for autonomous real-time or near-real-time selection of desired targets and the computation of the maneuvers required to attain those targets while optimizing system performance.","exampleTechnologies":"Ascent guidance, abort guidance, multi-vehicle formation flying guidance, vehicle 6DOF path planning, optimal attitude slewing guidance, next-generation entry guidance and powered descent guidance to support the functions of entry, descent, and landing (EDL) precision / pinpoint landing on planets/small bodies, computationally efficient trajectory / attitude optimization tools for onboard use","level":3,"hasChildren":false,"selected":false,"isPrimary":false,"hasInteriorContent":true},{"taxonomyNodeId":11484,"taxonomyRootId":8817,"parentNodeId":11481,"code":"TX17.4.3","title":"Attitude Estimation Sensors","description":"This area covers technologies for the development of sensors (hardware plus embedded software) for measuring attitude. This area includes attitude sensors and sensor systems for both single-platform absolute attitude measurement functions and vehicle-to-vehicle relative attitude (e.g. relative pose) measurement functions.","exampleTechnologies":"Star trackers, celestial sensors, inertial measurement units, gyroscopes, LIDAR/Vis Cameras/IR Cameras (for relative pose measurement), limb sensors","level":3,"hasChildren":false,"selected":false,"isPrimary":false,"hasInteriorContent":true},{"taxonomyNodeId":11467,"taxonomyRootId":8817,"parentNodeId":11465,"code":"TX17.1.2","title":"Targeting Algorithms","description":"This area covers technologies for the development of algorithms and associated software for autonomous real-time or near-real-time selection of desired targets and the computation of the maneuvers required to attain those targets.","exampleTechnologies":"On-the-fly adaptive guidance for opportunistic exploration and science observations","level":3,"hasChildren":false,"selected":false,"isPrimary":false,"hasInteriorContent":true},{"taxonomyNodeId":11469,"taxonomyRootId":8817,"parentNodeId":11468,"code":"TX17.2.1","title":"Onboard Navigation Algorithms","description":"This area covers algorithms and their associated flight software for autonomous onboard estimates of flight path, orbit, and trajectory parameters and associated uncertainties identified through navigation sensor measurements.","exampleTechnologies":"Algorithms for optical navigation, terrain relative navigation, autonomous rendezvous and docking, autonomous hazard detection and avoidance, autonomous space-based navigation (optical or Global Positioning System (GPS) Cislunar), X-ray navigation, Simultaneous Localization and Mapping (SLAM), light detection and ranging (LIDAR)-based navigation, inertial navigation (translation) filter, inertial attitude estimation filter, ascent vehicle filter, Earth-independent deep space navigation, celestial navigation, landmark navigation, X-ray pulsar navigation, vehicle-relative navigation (translation) filter, vehicle-relative attitude filter, swarm navigation, angles-only navigation, double line of sight navigation, small body prox ops and landing filter","level":3,"hasChildren":false,"selected":false,"isPrimary":false,"hasInteriorContent":true},{"taxonomyNodeId":11489,"taxonomyRootId":8817,"parentNodeId":11485,"code":"TX17.5.4","title":"GN&C Ground Testbeds and Test Facilities","description":"This area covers technologies for the development of modern ground-based GN&C, robotic, and capture motion simulation testbeds. This area also includes hi-fidelity simulation of relative navigation sensors (e.g., for generation of synthetic imagery).","exampleTechnologies":"GN&C system autonomy assessment testbeds, high-precision pointing and micro-vibration/jitter assessment testbeds","level":3,"hasChildren":false,"selected":false,"isPrimary":false,"hasInteriorContent":true},{"taxonomyNodeId":11492,"taxonomyRootId":8817,"parentNodeId":11485,"code":"TX17.5.7","title":"End-to-End Modeling and Simulation of GN&C Systems","description":"This area covers technologies for the development of software-based models, tools, and tool sets for end-to-end flight system simulation and for the purposes of system robustness and performance assessment. This area includes developing improved uncertainty quantification and modeling techniques, developing visualizations of the flight vehicle to better communicate and determine operational performance, and developing automation for manually intensive analyses and processing of large volumes of data.","exampleTechnologies":"GN&C modeling and simulation for increased autonomy, including technologies, techniques, and methods for modeling non-deterministic systems","level":3,"hasChildren":false,"selected":false,"isPrimary":false,"hasInteriorContent":true}],"additionalTxTree":[[{"taxonomyNodeId":11464,"taxonomyRootId":8817,"code":"TX17","title":"GN&C","level":1,"hasChildren":true,"selected":false,"hasInteriorContent":true},{"taxonomyNodeId":11465,"taxonomyRootId":8817,"parentNodeId":11464,"code":"TX17.1","title":"Guidance and Targeting Algorithms","description":"Guidance and targeting algorithms primarily constitute the development of robust, reliable, and computationally efficient mathematical algorithms (and their associated software implementation) for the functions of onboard or ground-based computation of desired or reference space system flight paths and/or attitudes and for the changes in flight paths and/or attitudes required to meet mission requirements.","level":2,"hasChildren":true,"selected":false,"hasInteriorContent":true},{"taxonomyNodeId":11466,"taxonomyRootId":8817,"parentNodeId":11465,"code":"TX17.1.1","title":"Guidance Algorithms","description":"This area covers technologies for the development of algorithms and associated software for autonomous real-time or near-real-time selection of desired targets and the computation of the maneuvers required to attain those targets while optimizing system performance.","exampleTechnologies":"Ascent guidance, abort guidance, multi-vehicle formation flying guidance, vehicle 6DOF path planning, optimal attitude slewing guidance, next-generation entry guidance and powered descent guidance to support the functions of entry, descent, and landing (EDL) precision / pinpoint landing on planets/small bodies, computationally efficient trajectory / attitude optimization tools for onboard use","level":3,"hasChildren":false,"selected":true,"hasInteriorContent":true},{"taxonomyNodeId":11467,"taxonomyRootId":8817,"parentNodeId":11465,"code":"TX17.1.2","title":"Targeting Algorithms","description":"This area covers technologies for the development of algorithms and associated software for autonomous real-time or near-real-time selection of desired targets and the computation of the maneuvers required to attain those targets.","exampleTechnologies":"On-the-fly adaptive guidance for opportunistic exploration and science observations","level":3,"hasChildren":false,"selected":true,"hasInteriorContent":true},{"taxonomyNodeId":11468,"taxonomyRootId":8817,"parentNodeId":11464,"code":"TX17.2","title":"Navigation Technologies","description":"Navigation technologies primarily consist of the robust, reliable, and computationally efficient mathematical algorithms and their associated software implementations for the functions of flight path, orbit, and trajectory state estimates.","level":2,"hasChildren":true,"selected":false,"hasInteriorContent":true},{"taxonomyNodeId":11469,"taxonomyRootId":8817,"parentNodeId":11468,"code":"TX17.2.1","title":"Onboard Navigation Algorithms","description":"This area covers algorithms and their associated flight software for autonomous onboard estimates of flight path, orbit, and trajectory parameters and associated uncertainties identified through navigation sensor measurements.","exampleTechnologies":"Algorithms for optical navigation, terrain relative navigation, autonomous rendezvous and docking, autonomous hazard detection and avoidance, autonomous space-based navigation (optical or Global Positioning System (GPS) Cislunar), X-ray navigation, Simultaneous Localization and Mapping (SLAM), light detection and ranging (LIDAR)-based navigation, inertial navigation (translation) filter, inertial attitude estimation filter, ascent vehicle filter, Earth-independent deep space navigation, celestial navigation, landmark navigation, X-ray pulsar navigation, vehicle-relative navigation (translation) filter, vehicle-relative attitude filter, swarm navigation, angles-only navigation, double line of sight navigation, small body prox ops and landing filter","level":3,"hasChildren":false,"selected":true,"hasInteriorContent":true},{"taxonomyNodeId":11471,"taxonomyRootId":8817,"parentNodeId":11468,"code":"TX17.2.3","title":"Navigation Sensors","description":"This area covers technologies for onboard sensors and sensor systems (sensor hardware and embedded sensor software) that take the measurements required to estimate flight path, orbit, and trajectory parameters. This area includes navigation sensors and sensor systems for both absolute navigation functions and relative navigation functions.","exampleTechnologies":"Inertial Measurement Units (IMUs), precision gyroscopes, accelerometers, GPS/Global Navigation Satellite System (GNSS) receivers, LIDARs, laser rangefinders, laser altimeters, radio frequency (RF)-based inter-spacecraft ranging systems, visible wavelength cameras, infrared wavelength cameras, precision frequency and timing devices such as oscillators and clocks, cold atom sensors, navigation transponders, navigation beacons, velocimeters, radars","level":3,"hasChildren":false,"selected":true,"hasInteriorContent":true},{"taxonomyNodeId":11481,"taxonomyRootId":8817,"parentNodeId":11464,"code":"TX17.4","title":"Attitude Estimation Technologies","description":"Attitude estimation technologies primarily constitute the development of robust, reliable, and computationally efficient mathematical algorithms and their associated software implementation for the functions of autonomous space system attitude and attitude rate state estimates. This area also includes advanced technologies for the development of a new generation of attitude/attitude rate measurement sensors.","level":2,"hasChildren":true,"selected":false,"hasInteriorContent":true},{"taxonomyNodeId":11484,"taxonomyRootId":8817,"parentNodeId":11481,"code":"TX17.4.3","title":"Attitude Estimation Sensors","description":"This area covers technologies for the development of sensors (hardware plus embedded software) for measuring attitude. This area includes attitude sensors and sensor systems for both single-platform absolute attitude measurement functions and vehicle-to-vehicle relative attitude (e.g. relative pose) measurement functions.","exampleTechnologies":"Star trackers, celestial sensors, inertial measurement units, gyroscopes, LIDAR/Vis Cameras/IR Cameras (for relative pose measurement), limb sensors","level":3,"hasChildren":false,"selected":true,"hasInteriorContent":true},{"taxonomyNodeId":11485,"taxonomyRootId":8817,"parentNodeId":11464,"code":"TX17.5","title":"GN&C Systems Engineering Technologies","description":"This area covers technologies for developing GN&C architectures and fault management systems and providing and improving the testing and verification of GN&C systems.","level":2,"hasChildren":true,"selected":false,"hasInteriorContent":true},{"taxonomyNodeId":11489,"taxonomyRootId":8817,"parentNodeId":11485,"code":"TX17.5.4","title":"GN&C Ground Testbeds and Test Facilities","description":"This area covers technologies for the development of modern ground-based GN&C, robotic, and capture motion simulation testbeds. This area also includes hi-fidelity simulation of relative navigation sensors (e.g., for generation of synthetic imagery).","exampleTechnologies":"GN&C system autonomy assessment testbeds, high-precision pointing and micro-vibration/jitter assessment testbeds","level":3,"hasChildren":false,"selected":true,"hasInteriorContent":true},{"taxonomyNodeId":11492,"taxonomyRootId":8817,"parentNodeId":11485,"code":"TX17.5.7","title":"End-to-End Modeling and Simulation of GN&C Systems","description":"This area covers technologies for the development of software-based models, tools, and tool sets for end-to-end flight system simulation and for the purposes of system robustness and performance assessment. This area includes developing improved uncertainty quantification and modeling techniques, developing visualizations of the flight vehicle to better communicate and determine operational performance, and developing automation for manually intensive analyses and processing of large volumes of data.","exampleTechnologies":"GN&C modeling and simulation for increased autonomy, including technologies, techniques, and methods for modeling non-deterministic systems","level":3,"hasChildren":false,"selected":true,"hasInteriorContent":true}]],"technologyOutcomes":[],"primaryImage":{"file":{"fileExtension":"jpg","fileId":28182,"presignedUpload":false,"fileSizeString":"0 Byte"},"libraryItemId":37484,"description":"Concepts developed and proposed that require distribtued spacecraft missions span the Science realms. Mission class ranges from Small Sat through Flagship. pFANtASY demonstrated on a Small Sat platform reduces risk for all of these missions.","projectId":93258,"publishedDateString":"","entryDateString":"","libraryItemTypePretty":"","modifiedDateString":""},"libraryItems":[{"file":{"fileExtension":"jpg","fileId":28182,"fileName":"DSMDemo","fileSize":83056,"objectId":37484,"objectType":"libraryItemFiles","presignedUpload":false,"fileSizeString":"81.1 KB"},"files":[{"fileExtension":"jpg","fileId":28182,"fileName":"DSMDemo","fileSize":83056,"objectId":37484,"objectType":"libraryItemFiles","presignedUpload":false,"fileSizeString":"81.1 KB"}],"libraryItemId":37484,"title":"NASA Science mission concepts that need pFANtASY for precision relative alignment between spacecraft","description":"Concepts developed and proposed that require distribtued spacecraft missions span the Science realms. Mission class ranges from Small Sat through Flagship. pFANtASY demonstrated on a Small Sat platform reduces risk for all of these missions.","libraryItemType":"Image","projectId":93258,"isPrimary":true,"internalOnly":false,"publishedDateString":"","entryDateString":"01/22/25 01:10 AM","libraryItemTypePretty":"Image","modifiedDateString":"11/28/17 11:38 PM"}],"states":[{"abbreviation":"MD","country":{"abbreviation":"US","countryId":236,"name":"United States"},"countryId":236,"name":"Maryland","stateTerritoryId":3,"isTerritory":false}],"endDateString":"Sep 2018","startDateString":"Oct 2017"}}