NGA posts Advanced Geospatial Analytics BAA topic
On August 22, the National Geospatial-Intelligence Agency added unclassified Topic 6, “Advanced Geospatial Analytics,” to its Boosting Innovative GEOINT BAA (Solicitation Number: HM0476-16-BAA-0001). White papers are due no later than 11:59 a.m. on September 21.
This Broad Agency Announcement (BAA) by the National Geospatial-Intelligence Agency (NGA) solicits offers for the award of contracts under the Boosting Innovative GEOINT (BIG) for inventive, actionable ideas and proposals that will enhance GEOINT and welcomes all innovative ideas for path-breaking research and innovative techniques that may advance the GEOINT mission. This requires new ways of doing business in order to meet unexpected and emergent requirements of the dynamic world we live in and anticipate tomorrow’s unknown challenges. Specifically, NGA is seeking ideas and techniques that makes the biggest change and promotes moving the Agency forward on different path in lieu of improving the current path we are pursuing. This BAA is published in accordance with FAR Part 35.016 and 6.102(d) (2). A formal Request for Proposal (RFP), solicitation or additional information regarding this announcement will not be issued.
NGA is interested in knowledge and insight from geospatially-referenced data to support its national security and humanitarian and disaster relief missions. NGA seeks innovative techniques, methods, approaches, and state-of-the-art research on how to analyze large volumes of geospatial data to produce new information not currently available, on subject, or by temporal and spatial scope. NGA seeks analytic algorithms and methods that are in the advanced research phase.
NGA seeks algorithms and methods that can be easily integrated into existing analytic products such as; spatially-tagged time series data, geospatial data (i.e., shapefiles, geoJSON), raster heat maps, geo-tagged summary statistics, terrain classification and coverage maps, elevation data, point clouds and 3D models, machine learning models, event collections, and Application Programming Interface’s (APIs). User interfaces are desired that provide access to such algorithms and methods providing geospatial accuracy, confidence values, and capture of error metrics. NGA is particularly interested in data derived from novel sources and adheres to government or industry geospatial standards, where possible.
NGA seeks algorithms that create and prepare geospatial data from novel sources; those that produce trends; those that output change and anomalies; those that detect and monitor signatures; those that characterize terrain, and new methods. NGA is interested in the most innovative ideas in artificial intelligence, machine learning, convolutional neural networks, natural language processing, and computer vision. Note – the above details are not intended to limit the type of solutions submitted.
NGA seeks to collaborate with industry and academia to research and refine novel analytic techniques, methods and processes in three key areas: Discovery, Characterization, and Foundation data.
Full information is available here.