Enterprise Data Fusion Visualization

TECHNOLOGY FOCUS AREA: General Warfighting Requirements (GWR); Artificial Intelligence/ Machine Learning; TECHNOLOGY AREAS: Information Systems ACQUISITION PROGRAM: SOF Digital Ecosystem The technology within this topic is restricted under the International Traffic in Arms Regulation (ITAR), 22 CFR Parts 120-130, which controls the export and import of defense-related material and services, including export of sensitive technical data, or the Export Administration Regulation (EAR), 15 CFR Parts 730-774, which controls dual use items. Offerors must disclose any proposed use of foreign nationals (FNs), their country(ies) of origin, the type of visa or work permit possessed, and the statement of work (SOW) tasks intended for accomplishment by the FN(s) in accordance with section 3.5 of the Announcement. Offerors are advised foreign nationals proposed to perform on this topic may be restricted due to the technical data under US Export Control Laws. OBJECTIVE: The objective of this topic is to develop applied research toward an innovative capability to a user interface application providing an intuitive user interface for entering search criteria and presenting search results based on a wide range of data sources. The interface network will provide obfuscated connection services. Results will be correlated, relationships identified, relevant anomalies highlighted and graphical presentation utilized to allow rapid assessment by users. This product will also assist with the US Government's compliance to applicable laws and regulations for data collection and retention. DESCRIPTION: As a part of this feasibility study, the proposers shall address all viable overall system design options with respect to optimization of man-to-machine interface, potential benefits to be gained through the use of machine learning, and tools/techniques for masking the source of a data query. PHASE I: Conduct a feasibility study to assess what is in the art of the possible that satisfies the requirements specified in the above paragraphs entitled Objective and Description. Identify how machine learning might enhance the proposed capability. The objective of this USSOCOM Phase I SBIR effort is to conduct and document the results of a thorough feasibility study ( Technology Readiness Level 3 ) to investigate what is in the art of the possible within the given trade space that will satisfy a needed technology. The feasibility study should investigate all options that meet or exceed the minimum performance parameters specified in this write up. It should also address the risks and potential payoffs of the innovative technology options that are investigated and recommend the option that best achieves the objective of this technology pursuit. The funds obligated on the resulting Phase I SBIR contracts are to be used for the sole purpose of conducting a thorough feasibility study using scientific experiments and laboratory studies as necessary. Operational prototypes will not be developed with USSOCOM SBIR funds during Phase I feasibility studies. Operational prototypes developed with other than SBIR funds that are provided at the end of Phase I feasibility studies will not be considered in deciding what firm(s) will be selected for Phase II. PHASE II: Develop, install, and demonstrate a prototype system determined to be the most feasible solution during the Phase I feasibility study on a data fusion and visualization application. PHASE III DUAL USE APPLICATIONS: This system could be used in a broad range of military applications where current publicly available and commercially available information can assist with decision making. In these instances, an element of non-attribution is important not to project a specific area of focus. The commercial market likely have similar instances where rapidly analyzing information on a specific topic from a wide variety of sources would aid in business decision making. REFERENCES: How to Stay Anonymous on Line : https://www.digitaltrends.com/computing/how-to-be-anonymous-online/