To be an innovation leader, an organization must efficiently leverage ideas, practices, and capabilities created anywhere, especially outside the organization. DIA has enhanced its ability to efficiently leverage solutions from industry and academia. NeedipeDIA expands the ongoing dialogue between DIA and innovative solution providers (industry, academia, labs) to address mission critical needs, and creates a direct communication channel to the solution providers with emerging technology that enhances DIA's mission capabilities.
NeedipeDIA enables DIA to express capability needs, clearly and concisely, to a larger community of innovators and encourage participation from both establish partners and companies that have never before worked with federal agencies. The list of needs below is designed to communicate the solutions DIA is seeking, while providing an entry point into government acquisition through an Open Broad Agency Announcement (BAA) and Commercial Solutions Opening (CSO).
The content on this webpage consists of a dynamic list of needs that is updated frequently. All individuals, companies, or academic institutions interested in receiving grants or contracts through the Open BAA (HHM402-19-S-0001) and Open CSO (HHM402-19-SC-0002), found on www.fbo.gov and www.grants.gov (BAA only), must identify the specific need by number using the list below. Detailed instructions for expressing your solution(s) are found within the Open BAA and CSO.
WHAT IS NEEDIPEDIA?
Needipedia is a process using a website to communicate mission needs to innovators. It is an invitation to collaborative engagement with industry and academia. Needipedia is an unclassified website communicating needs to solution providers. It is a mechanism that enables:
WHO ARE NEEDIPEDIA STAKEHOLDERS?
HOW ARE DIA NEEDS/ REQUIREMENTS DERIVED?
Needs and requirements map to DIA mission areas:
99. Other Innovative Capabilities
HOW ARE SOLUTIONS SUBMITTED TO DIA THROUGH THE NEEDIPEDIA PROCESS?
A Broad Agency Announcement (BAA) and Commercial Solutions Opening (CSO) contains the instructions for submitting a proposal. This process meets Federal Acquisition Regulations and is an entry point for the acquisition process..
WHAT ARE THE INCENTIVES FOR PARTICIPATING IN THE NEEDIPEDIA PROCESS?
HOW IS NEEDIPEDIA DIFFERENT FROM CURRENT DIA PROCESSES AND DOES IT REPLACE EXISTING BAAS AND CSOs?
HOW DOES NEEDIPEDIA AFFECT THE CONTRACT PRACTICES THAT TAKE PLACE AFTER A FUNDING DECISION IS MADE?
Needipedia does not address the contract practices after a funding decision is made. It only provides a mechanism for transitioning to the next stage in the acquisition phase.
Needipedia is an external website for identifying Defense Intelligence Agency (DIA) needs. It embraces the full scope of "innovative ideas" from industry and academic sources. These ideas assist in supporting agile, technological and innovative capability for DIA mission-related requirements.
HOW TO INITIATE AN IDEA
Follow the steps below to initiate and submit your proposal.
HOW TO MAXIMIZE PROPOSAL SUCCESS
Before submitting a white paper for a proposal, review these recommendations:
HOW TO CONTACT DIA
STEPS TO SUBMIT A WHITE PAPER.
HINTS FOR A SUCCESSFUL REVIEW
Properly aligning your capability to a mission need (below) is essential for successful review. Specifically:
Considering indicates a more general DIA mission area need that is under consideration, while Active indicates an innovative solution is currently being sought.
1. Artificial Intelligence (AI) and Machine Learning (ML)
1.1 ML & Natural Language Processing Weapon System Info: DIA seeks to improve capabilities and methodologies for leveraging Machine Learning techniques combined with other tools like NLP to automatically identify technical terms and names associated with complex descriptions of weapon systems buried in various types of data sources. These data sources may include raw sensor files, unstructured electronic documents, and various types of multimedia files. These files also may come in various formats. Certain file types may require other pre-processing tools like optical character recognition (OCR) in addition to NLP. Military systems are inherently complex, and weapon systems are often described in various places using a series of letters and numbers and associated “nick names.” Foreign language descriptions, when present, add another layer of complexity. Tools and methods should be able to determine out how to manage dialect and media recognition models associated with weapon systems that are highly unique to the intelligence and military communities. These tools and methods must be able to be applied to and then work with most open source NLP software applications, search tools, and other expert systems. Once organizational expertise has been distilled into knowledge systems that support AI tools, these knowledge systems have to be able to be used to support other AI tools. Once relevant data has been identified, this data will become part of the updated, centralized data model describing the weapon system. Responses to this need can address all or part of this description.
Current Status: Open/Considering
Cutoff Date: 25 December 2023
Additional Evaluation Criteria: None
1.2 AI & ML Tools, Collection, Research, Monitoring, Automation, Database Development, Data, & Reporting: DIA seeks to improve capabilities for applying artificial intelligence and machine learning to conduct all source collection, research, information monitoring, automated reporting, and database development. DIA seeks tools that streamline and accelerate certain intelligence workflows; to compress intelligence production timelines; to integrate multiple data sets and formats; to identify relationships, connections, correlations, and associations between data; to process data and discern relevance with respect to a given topic; to facilitate information sharing; and to prepare data for anticipatory analysis. These tools must act on large amounts of unstructured data in various formats and potentially accommodate dynamic data flows. AI and machine learning would also support the streamlining and acceleration the more time consuming/intensive tasks of analyzing unstructured information, audio, images/visualizations and video. DIA also seeks to understand industry capabilities for applying artificial intelligence and machine learning to thematic data management and data transformation in a way that allows a semi-automated approach to the extract-transform-load (ETL) burden for collected data. Specific ETL functions include the ability to select, focus, simplify, tag, and transform overtly or covertly collected data into human or machine interpretable form for further analysis or action. Responses to this need can address all or part of this description.
1.3 ML Support Workflow Automation: DIA seeks to improve capabilities and methodologies for using machine learning tools to automate intelligence production, planning, and process workflows to reduce the time spent accomplishing these tasks manually.
1.4 Tools for Predictive Analysis, Alerting, Indications & Warning (I&W): DIA seeks to improve capabilities and methodologies for applying artificial intelligence, machine learning, and predictive analysis algorithms to I&W within a big data framework. This need will identify semi-automated tools that can conduct analytics of open source data, intelligence sensor data, finished intelligence, financial intelligence, and other forms of intelligence reporting to locate trends, create alerts that require attention, and to recommend actions based upon sensor feeds. Solutions will identify modeling techniques, and will analyze and visually display predictive analytics on changes observed in the battlespace and areas of control during peacetime and during conflict. Specific focus areas include technologies that 1) can manage the expert input often required to make I&W tools leveraging AI and Machine Learning; 2) will have the capability to “learn” from complicated and diverse information flows that are used for I&W; and then 3) will interface with users in a useful way to achieve I&W outcomes (visualization of data, tasking, exploitation, analysis, alerts, and decision support). Responses to this need can address all or part of this description.
1.5 Semi-Autonomous Multi-Sensor Fusion Leveraging AI: DIA seeks to improve capabilities and methodologies regarding technology that can leverage AI-enabled sensor processors to manage and fuse multiple sensors of the same or different phenomenology and then to recognize and respond to signature sources by type and to also identify anomalies. The AI enabled sensor network will then predict and respond to recognized threat types and threat activity based upon these sensory feeds. Sensory feeds may incorporate analog and digital feeds from acoustic, seismic, magnetic, density/pressure, electromagnetic, radio frequency, electro-optic/infrared, hyperspectral, and other domain signatures correlated in both space and time.
1.6 AI & ML Support to Military Operations: DIA seeks to improve capabilities for applying artificial intelligence and machine learning to the target area of fusing Multi-INT sensor data for real-time battlespace awareness and predicative analysis at the strategic, operational, and tactical levels of warfare.
1.7 AI & ML Support to Business Operations: DIA seeks to improve capabilities for applying AI and machine learning to the area of business operations to include acquisition management; financial analysis; portfolio prioritization and optimization; business analytics; risk management; resource conservation; and business decision support. The desired solution would enhance the ability to streamline and gain insight through predictive analysis of business financial operations.
1.8 AI & ML Support to Data Science: DIA seeks to improve capabilities for applying artificial intelligence and machine learning to the target area of a data science environment. CIO is looking for recommendations to identify capabilities that support and streamline Natural Language Processing (NLP) of text and audio data, Recommender Engines, Net Flow Data, and features of the Data Science Environment.
1.9 AI & ML Support to Finished Intelligence Products & Knowledge Management: DIA seeks to improve capabilities for applying artificial intelligence and machine learning to scan all finished intelligence products and create from them a body of organized knowledge that people can use to explore topics and concepts. The body of knowledge should return an answer to the user that describes the connections between the data up to the time the user entered the request for information. The solution should return de-duped and de-conflicted data sources to provide analysts a comprehensive end product with accurate sourcing.
1.10 AI & ML Support to Open Source Information Gathering: DIA seeks to improve capabilities for using AI and machine learning tools to semi-autonomously collect all forms of open-source information and then updated analytical techniques for data mining and discovery. Solutions should include the ability to combine, compare, and analyze classified and open source material and attempt to cross-verify information obtained from different sources.
1.11 ML Support to Management of Tasking from Multiple Sources: DIA seeks to improve capabilities for applying machine learning technologies to the target area of processing incoming tasking from multiple sources, particularly email. This capability prevents tasking from entering an organization without a formal tasking process and helps ensure that ad hoc requirements are tracked and captured by managers. The solution would leverage machine learning tools read email message flows to discover, track, and route tasks to official tasking channels.
1.12 AI & ML Support to Dynamic Threat Analysis: DIA seeks to improve capabilities for applying artificial intelligence and machine learning to the target area of dynamic threat analysis modeling. Solutions would identify an automated system that will allow analysts to develop weighted analytical threat models leveraging quantified adversary capabilities (either using analyst input or by pulling from existing databases), doctrine, influence, historical behavior, and stated intent.
1.13 AI & ML Support to Assessment of Performance Measures: DIA seeks to improve capabilities for applying artificial intelligence and machine learning to the target area of assessing organizational performance measures. Solutions will develop a universal performance measurement capability across the Defense Intelligence Enterprise (DIE) to support CCMD and agency priorities.
1.14 AI & ML Support to Human Resource Recruiting: DIA seeks to improve capabilities for applying artificial intelligence and machine learning to the target area of human resource recruiting. Solutions will be a capability that correlates structured and unstructured data sources to identify, recommend and rank individuals to fill unique billets by leveraging personal biographies, expertise profiles, and available online data.
1.15 AI & ML Support to Publication Author Relationships: DIA seeks to improve capabilities for applying artificial intelligence and machine learning to the target area of evaluating structured and unstructured data contained within publications to show relationships between authors on a specific topic. Capability should leverage natural language processing to auto tag and build networks based on relationships between authors, coauthors, institutions, topics, and other details.
1.16 AI & ML Support to Signature Identification: DIA seeks to improve capabilities for applying artificial intelligence and machine learning to the target area of identifying signatures from various sensor sources to aid in exploitation, analysis and production. Signature identification supports Ballistic Missile Technical Collection, Nuclear Monitoring, and MASINT capabilities.
1.17 Reserved. AI & ML Support to Records Management: DIA seeks to improve capabilities for applying artificial intelligence and machine learning to the target area of front end and back end management of records, business analytics, and visualization.
Current Status: CLOSED
Cutoff Date: To Be Announced
Additional Evaluation Criteria: None
1.18 AI & ML Support to Cybersecurity: DIA seeks to improve capabilities for applying artificial intelligence and machine learning to the target area of cybersecurity. Solution would have the ability to dynamically detect anomalies/risks/threats and then to alert defenders. The capability must be able to perform these functions at a greater scale and pace than what is currently accomplished using the traditional collect, process, and analyze methodology.
2.1 WMD Intel Collation: DIA seeks to improve the production of all source intelligence for DoD policy makers and warfighters. All Source Intelligence is derived from all sources of information concerning foreign military and defense-related capabilities, intentions, plans, dispositions, and equipment that is required for the formation of U.S. strategy, policy, and military plans and operations at national, theater, and tactical levels. To support this mission, DIA seeks innovative tools and methods to advance its ability to provide leading edge all source intelligence to its broad range of customers.
3.1 Counterintelligence Capability Development: DIA seeks to improve the development of new and improved counterintelligence capabilities with the goal of improving the timeliness, quality, quantity, and relevance of information gathered in support of counterintelligence consumers to exploit data collected by CI assets to yield information critical to Indications and Warnings and force protection.
3.2 Continuous Evaluation: DIA seeks to improve innovative solutions to integrate existing DIA insider threat capabilities, technologies and data sources to comply with guidance from the Secretary of Defense to implement nationally mandated direction to enhance the way personnel are assessed for continued eligibility/access to classified information. DIA will implement an enhanced periodic reinvestigation program by leveraging continuous monitoring and evaluation tools which are intrinsically linked to security, CI and insider threat efforts. Proposals should include a strategy for addressing multiple aspects of personnel security to include automating processes to: provide a real time assessment of workforce risks; monitor data sources to flag pertinent information from an adjudicative and insider threat perspective; integrate publically available electronic information (e.g. social media) with traditional background information. It is underscored that continuous monitoring and evaluation programs exist to ensure the integrity and trustworthiness of the enterprise and our people are the most important component.
3.3 Cyber Behavior: DIA seeks to improve development of a system to manage and assess cyberspace behaviors and activity of human personas. We are looking for models and algorithms that will help to identify rogue and illicit behavior of human personas engaged in cyberspace activities during authorized and approved lawful surveillance activities.
3.4 Foreign Contact: DIA seeks to improve development of a network tool capable of searching multiple databases for identity data and relevant intelligence reporting for reported foreign contacts and export the data in a single spreadsheet to support analytical review.
4.1 Missile, Aerospace, and Space Technical Collection (MASTC): DIA seeks to improve intelligence collection and analysis of new and emerging foreign weapons systems and technologies of established and emerging nation states. Areas should include hypersonic air vehicles and delivery systems; space-based objects; nuclear detonations; Tactics, Techniques, and Procedures (TTPs); and global technology proliferation. Responses should address collection, analysis, coverage, and data reduction from collection to product dissemination.
4.1.1 Chemical/Biological MASINT: DIA seeks to improve the capabilities and methodologies regarding sustained collections on chemical and biological weapons related intelligence. Responses should include capabilities and methodologies to improve the ability to discriminate between legitimate and illicit activities; to increase current reporting/evaluation of CW/BW programs; and to augment the capability to provide timely warning on regional and transnational threats. Responses should address targeted R&D and novel MASINT development efforts; close access or standoff collections of chemical and biological signatures to characterize state or non-state development of chemical and or biological warfare agents; and identification and detection of additional exploitable signatures from the production of said agents.
5.1 ON HOLD; UNDER REVEIW
5.1 Digital Exploitation Techniques: DIA seeks to improve the capabilities and methodologies regarding the next generation of capabilities and platforms to advance the MASINT enterprise. Responses should include techniques developed for commercial or non-intelligence applications that are applied in an ingenious manner (i.e. Innovation) current intelligence gaps.
5.1.1 Document and Media Acquisition: DIA seeks to improve the capabilities of advances in the field of Document and Media Acquisition, to include Data Recovery from Damaged Sources, Non-Traditional Media Source Acquisition, Rapid Data Acquisition, and Methods to Counter Destruction of Document and Media Sources.
5.1.2 Human Language Technologies: DIA seeks to improve the capabilities of advances in the field of Human Language Technologies across any medium and modality, including, but not limited to Language/Dialect Identification, Machine Translation, Categorization, and Authorship Analytics.
5.1.3 Computer Vision: DIA seeks to improve the capabilities to advance in the field of Computer Vision, including, but not limited to Object Detection, Object Recognition, Digital Biometrics, Scene Identification, Content Characterization, and Content Change Detection.
5.1.4 Digital Signals Processing: DIA seeks to improve the capabilities to advance in the field of Digital Signals Processing, including, but not limited to Signature Generation and Identification, Non-Visible/Audible Spectrum Analysis, Event Characterization and Storyboarding, and Novel Methods for Content Similarity.
5.1.5 Data, Process and User Artifact Analysis: DIA seeks to improve capabilities of advances in the field of Data, Process, and User Artifact Analysis via Digital Forensics methods, including, but not limited to Temporal/Geospatial reconstruction, Network Activity, Application Analysis, Social Media Analysis, Social Network Analytics, and Digital Persona Analysis.
5.1.6 DOMEX Analytics: DIA seeks to improve the capabilities to advance in DOMEX artifacts extraction and cross-domain analytics to advance relevant data discovery and dissemination using cloud AI/ML based approach from “dirty” forensic images to a separate cloud based analytical environment.
5.2 Directed Energy Weapons: DIA seeks to improve the capabilities and methodologies regarding advances in the collection and analysis of DEW. Responses should address capabilities and methodologies used to understand the increasing threat, use, and emerging DEW capabilities to include lasers, electromagnetic pulse (EMP), high powered microwave (HPM), and energetic ballistic weapons. Responses that include focus on improved technical collection, processing, exploitation, and signatures will be considered.
5.3 Biometrics: DIA seeks to improve the capabilities for new and emerging technologies that can be developed, modified to be, or are ready for rapid transition to operational biometrics (human DNA, fingerprints) targeting, collection and exploitation environments.
5.4 Weapons of Mass Destruction: DIA seeks to improve the capabilities of new and emerging technologies that can be developed, modified to be, or are ready for rapid transition to operational CBRN targeting, collection and exploitation environments.
5.5 Space Situational Awareness: DIA seeks to improve the capabilities of innovative approaches for detecting and tracking Resident Space objects (RSO) in all orbital regimes (LEO, MEO, HEO, GEO) for space situational awareness (SSA). Proposed sensor technologies should substantially improve on the trade space of sensitivity, size weight and power (SWAP) and noise characteristics currently available in commercial–off-the-shelf (COTS) and government-off-the-shelf (GOTS) solutions. Sensor technologies, to include but not limited to electro-optical (EO) and radiofrequency (RF) modalities, should measure and/or detect physical phenomena relating to RSOs in an effort to characterize and establish pattern of life (PoL) and/or indications and warnings (I&W).
5.6 Underground Construction: DIA seeks to improved capabilities for standoff and/or covert detection, monitoring and characterization of underground construction projects in any location worldwide during authorized and approved lawful surveillance activities. Improvements should provide reliable estimates of size, shape and depth of excavations and facilities therein.
5.7 Automated Analysis of Bulk Title 10 Data: Please visit the JWICS Classified Need List
5.8 Electro-Optical Detection: DIA seeks to improve the capabilities of innovative solutions to improve the detection limits of weak VNIR, NIR, SWIR, and MWIR emissions. Proposed technologies should improve substantially on the tradespace of sensitivity, size weight and power (SWAP), and noise characteristics currently available in commercial-off-the-shelf (COTS) and government-off-the-shelf (GOTS) solutions. Technologies that reduce the need for cooling are of particular interest. Technologies may include sensor technologies themselves or support technologies such as innovative algorithmic approaches or nontraditional optical concepts that better leverage existing sensor technologies. DIA prefers simultaneous multi-spectral capabilities but will consider single-wavelength solutions.
5.9 Pulsed Power Detection: DIA seeks to improve capabilities for innovative solutions to enable detection and characterization of pulsed power sources such as those used in weapons, radars, electro-magnetic launch systems, EW systems, and high energy scientific equipment.
5.10 Radio Frequency Detection: DIA seeks to improve capabilities for innovative solutions to improve the detection and characterization of generic radiofrequency (RF) emissions across all bands. Solutions should improve substantially on the tradespace of sensitivity, bandwidth, resolution, size, weight, and power (SWAP), and noise characteristics currently available in commercial-off-the-shelf (COTS) and government-of-the-shelf (GOTS) solutions.
6. Improves Mission Support Capabilities
6.1 Information Technology: DIA seeks to improve capabilities for innovative solutions to provide information technology, systems and services to the Defense Intelligence Community in support of warfighters, national policy makers, and defense acquisition authorities.
6.1.1 Customer Support and Governance: DIA seeks to improve capabilities for innovative solutions to deliver the highest level of satisfaction to all consumers of DIA Information Technology (IT) services and products. Solutions should provide front-line support and accountability for all customer and mission interaction outcomes through consistent and deliberate interactions and enable timely and effective decision-making, strategically aligning IT to mission with measureable outcomes and customer value. Offerors should take into account that ideas will be part of a governance structure that guides DIA’s strategic planning, architected enterprise, portfolio management, and investment management activities.
6.1.2 Big Data, Data Management, and Analytics: DIA seeks to improve capabilities for innovative approaches and solutions to provide data integration engineering services for the DoDIIS Enterprise by ingesting, exposing, tagging and deploying mission-effective standardized data services and common analytical capabilities.
6.1.3 Infrastructure, IaaS, and Cloud Management: DIA seeks to improve capabilities for innovative approaches and solutions to provide data integration engineering services for the DoDIIS Enterprise by ingesting, exposing, tagging and deploying mission-effective standardized data services and common analytical capabilities.
6.1.4 Information Assurance and Cyber Defense: DIA seeks to improve capabilities for innovative approaches, methods, and technologies to improve information assurance (IA) and computer network defense (CND) services for the DoDIIS enterprise, DoD SCI, Joint Worldwide Intelligence Communications System (JWICS), and the broader Intelligence Community (IC). Proposed innovations should aid in providing technical oversight and guidance at all levels on information technology fielding decisions, secure communications, and network security issues.
6.1.5 Learning Management Solutions: DIA seeks to improve its current Advanced Global Intelligence Learning Environment (AGILE) Learning Management System (LMS) software platform and as a replacement is seeking a next-generation learning management solution to support the agency in the areas of talent development, collaboration, coaching and mentoring, compliance and certification management. The next-generation solution shall enhance learner experiences through just-in-time training/content and improved personalization via adaptive learning, recommendations and individual learning paths to support DIA training and development needs. The DIA branded “Learning & Talent Support Service” (LTSS) will be an integrated suite (ecosystem) of services that comply with the standards described in Department of Defense Instruction 1322.26 Distributed Learning (DL), October 5, 2017. The instruction allows for existing and emerging software components and web-based applications to pass data to each other, reducing the need for user intervention between emerging software and applications. The proposed LTSS solution should include the following functions/services:
· Qualifications and Certifications Management
· Registration and Records Management/Classroom Scheduling
· Assessment and Evaluation Management
· Skills and Performance Management
· Embedded Performance Support
· Learning Records Store (LRS)
· Reporting and Analytics
· Content Management
· Catalog Management
· Video Content Creation and Sharing
Current Status: Open/ACTIVE
Cutoff Date: 4 March 2019
Additional Evaluation Criteria: None
6.1.6 Business Process Automation Solutions: DIA seeks to improve the capabilities for an innovative solution to automate routine business tasks through initiation, execution and completion, while achieving enterprise-wide workflow efficiency. Business tasks can be determined for different segments of organization activities, including management, operations, human resources and information technology. Solutions shall provide a technology-enabled automation of activities that accomplish a specific function or workflow. Solutions shall permit the enterprise to task requirements, submit task responses via electronic workflow from the assigned individual to coordinating offices and approving authorities, manage document version control processes, route and monitor document correspondences and packages, and monitor and report task status at all levels of the organization.
6.1.7 Operations Support: DIA seeks improving the capability for new methodologies, technologies, and processes to facilitate support for vehicle management, sustainment support to field elements, expeditionary support in an appropriately attributable manner to platforms performing contingency and joint operations, and solutions to provide logistics support and physical infrastructure worldwide.
6.1.8 Mission Services Operations Center: DIA seeks improving the capability to entertain new methodologies, technologies and processes to enhance capabilities to provide leadership and partners with 24/7 situational awareness of worldwide equities (intelligence and related products, personnel, facilities, products, equipment, and communications) in support of mission requirements and other statutory obligations.
6.1.9 Administrative Tasks Automation: DIA seeks to improve business efficiencies and effectiveness for supporting an increasing number of agency auditability requirements within the scope of the limited resources allocated by leveraging the use of Robotics Process Automation (RPA) or other commercial solutions to automate repetitive administrative tasks. The goal of this requirement is to provide better support for financial and acquisition business system users and stakeholders without a need for additional resources to maintain current business processes, meet audit requirements, and improve data accuracy and consistency across all business and acquisitions systems. Without additional resourcing, DIA believes that the best approach to address this requirement is to focus on the adoption of modern automated business process solutions to meet current and evolving requirements through the most efficient and effective utilization of available resources. Some examples of administrative tasks that are currently being executed manually include the transfer of unclassified files across DIA networks, interagency payment and collections, accounts receivables processing and permanent change of station (PCS) order processing.
Current Status: Open/Considering
Cutoff Date: 26 April 2019
Additional Evaluation Criteria: None
6.2 Integrated IT Solution for the Requirements Process: DIA seeks to improve the capability for an innovative approach to data management and processing of new requirements, development efforts, capability management, and budgeting considerations to enhance process improvements in the Cyber Capability Development and Management processes.
6.3 Surveying Capability: Please visit the JWICS Classified Need List
6.4 Enterprise Common Data Fabric Solutions: DIA seeks to provide segments of the Department of Defense and Intelligence Community (IC) with data and information sharing capabilities to meet operational needs and mission objectives for the Distributed Common Ground Surface/System (DCGS) Common Data Fabric (CDF). The DoD and non-DoD government agencies are seeking to change the commercial technology approach to focus on better integration and program alignment; and delivering a more agile operational architectures to the warfighter. A dedicated DCGS Common Data Fabric environment to increase enterprise integration, leverage commercial technologies and innovative solutions, evaluate defense security, and deepen alliances and foreign partnerships is essential to help the Defense Intelligence Enterprise meet the intent of the National Defense Strategy. Satisfying mission needs for data sharing requires: researching and delivering innovative, disruptive technologies and methods to enable the sharing of information within the DoD-IC and other government agencies; development and application of frameworks that support business processes, data access and correlation; autonomous data analysis and decision-making, and hosting within the security of assured systems and respective cloud networks. The Defense Intelligence Agency is part of a Joint PMO for the CDF, comprised of the National Geospatial Intelligence Agency, The Defense Intelligence Agency, and the National Reconnaissance Office. The proposed technical solution includes the following functions/services:
• Common Data Fabric Components
• Data Governance
• Delivery of innovated disruptive technologies
• Information/Data sharing methods
• Applications supporting business processes
• Autonomous data analysis
• Development within secure cloud networks
• System integration
• Application Services Technologies
• Mission Service Technologies
• Organization Compliancy
• Content management discovery and retrieval applications
Current Status: Open/ACTIVE
Cutoff Date: 25 December 2023
Additional Evaluation Criteria: None
7.1 Increase Organizational Effectiveness: DIA seeks to improve the capability of a performance management program to conduct end-to-end performance assessments to raise product and service standards. Performance management will be used to institutionalize a culture that encourages workforce behavior to improve products and delivery of services, increase transparency and accountability at all levels, and establish methods that use hard data and other criteria for meaningful assessment. DIA seeks innovative methods and approaches to support this strategic goal.
7.1.1 Increase Screening Effectiveness: DIA seeks to improve the capability of innovation talent management approaches and technologies. Specifically, DIA is seeking capabilities to optimize advancement by filling positions with the best candidates available, ensuring maximum productivity, quality of life, and career development. Specific positions require specialized skill sets that must be aligned to core competencies of individual candidates. Techniques must accurately derive applicant potential from biographical information, resumes, training history, leadership/management experiences, and breadth and depth of professional expertise. Capabilities should provide hiring managers a prioritized list of top candidates from many applicants according to customized criteria created by the hiring manager. Ideally, DIA seeks capabilities which can integrate with existing DIA systems rather than standalone software solutions. Potential solution should be scoped as proof of concept pilots rather than large scale systems.
7.1.2 Increase Workforce Advancement: DIA seeks to identify a talent management (personnel) system leveraging machine learning to manage, track, analyze, trend, and forecast employee career enhancement opportunities. The system should contain a web-based user input for clients to enter and verify their data. The system should contain relational tables to Human Resources (HR) data and employee training records. The system tables should allow talent managers to manage/track and forecast training courses, assignments, leadership tracks, promotion actions, Joint Duty Assignments (JDA’s), stretch assignments or moves that impact employee’s development and other opportunities. The system should also contain a section/table to house employee career counseling records conducted by talent managers. Additionally, the system should contain a business analytics/visualization dashboard to quickly portray the health and welfare of the employee workforce.
8.1 Empower Partnerships for MS: DIA’s seeks to improve the capability to expand outreach and partnerships with divergent Research & Development entities in order to anticipate developments impacting Workplace Learning and Performance practices. Specifically, those with experience in designing adaptive human performance solutions that easily adjust to changing organizational technologies.
11. Emerging Technologies
11.1 Emerging and Innovative Technologies for Rapid Operational Transition: DIA seeks to find new and emerging technologies that can be developed, modified to be, or are ready for rapid transition to operational environments. Submissions to this need and sub-needs includes research and development, modifications to meet mission needs, and proof of concept. Technologies submitted under NeedipeDIA Need 11, may be included in unique and independent technology demonstrations or exercises such as, but not limited to Trident Spectre. Coordination in regards to technology demonstrations or exercises does not supersede established project submission processes for respective technology demonstrations or exercises.
11.2 Advanced Communications and Cyber Technologies: DIA seeks to improve the capability of new and innovative communications, RF, satellite, and cyber focused technologies to include, or related to: advanced mobile communications, secure mobile communications, secure internet-based communications, mobile device hardening, communication obfuscation, Mobile Device exploitation, Internet of Things (IoT) exploitation, IoT Device Sensing and Simulation, Automotive Telematics Exploitation Capabilities, Electronic Surveillance and/or Tracking Detection, Threat Identification and Mitigation, Advanced Cyber Communication Capabilities, software defined radios and networks, advanced architectures, understanding and identification of intercepted signals, geolocation and/or exploitation of signals in near real-time, PNT (position, navigation, and timing), and waveform development.
Relevant technologies may have some or all of the following attributes or abilities: discrete, hard to detect, reliable, easy to use, device agnostic, capable of secure data transmission without linking destination and source, low profile, LPI (low probability of intercept), LPD (low probability of detection), LPE (low probability of exploitation), leverage multiple or unique transmission methods.
11.3 Advanced Sensor Technologies: DIA seeks to improve the capability of new and innovative sensor technologies to include, or related to: Unattended Ground Sensors, Unattended Maritime Sensors, integrated technical surveillance, small/niche autonomous sensors, networked sensors, miniaturized sensors, miniaturized tracking devices, data delivery systems and Unintended Radiated Emission (URE) technology. Relevant technologies may have some or all of the following abilities: small size, light weight, low power consumption, discrete, hard to detect, reliable, and easy to use.
11.4 Innovative, Creative, and Advance Topics: DIA seeks to improve the capability of new and innovative research and study of advanced technology applications. These technologies and applications may include data gathering and analytics, artificial intelligence and machine learning, data dissemination and optimization, data processing “at the edge,” or other expanding fields. Proposals to these needs will be considered based on core mission functions of DIA and those we serve.
99. Helpful Tips & Tricks for Need 11 Submissions
Description: Invitation to participate in the TRIDENT SPECTRE (TS) 2020 exercise.
Submissions from industry will be evaluated on a weekly basis and prioritized for sponsorship. Technology sponsorship to the event is limited. Early submissions highly recommended for consideration.
Overview: The TS exercise brings together over 1150 participants representing 180 offices from Department of Defense, Intelligence Community, and Federal Law Enforcement (FLE) communities including National Laboratories, Industry, and Academia. It incorporates cutting edge technology experiments, analysis and simulation to address tactical, theater, and strategic intelligence problems in a controlled field environment. Capabilities within each of the lines of effort are evaluated and formally assessed by operators, engineers, and vulnerability subject matter experts. This provides real time feedback, leveraged by operations and IC teams to innovate, develop and refine tradecraft, tactics, techniques and procedures.
For submitted technologies to be considered for sponsorship to the exercise, the proposed technologies should be able to demonstrate system level capabilities prior to the event. The system must be a complete prototype ready for demonstration in a relevant or operational environment by the time of the exercise (TRL 6 or higher). Selected contractors will work with the government sponsor to validate the capability.
TS success is based on the continual and incremental progression in the resolution of evolving problem sets with current operational exposure and relevance. Integral to this success is the fostering of: Operator involvement, Stakeholder Consortium Management, Real-Time Innovation, Hybrid Experiment/Exercise Environment, and Operationally Relevant Real-World Scenario Environment.
Contractors gain invaluable insights and feedback from end-users in a relevant environment. Additionally, contractors are enabled to integrate with other projects to fully develop innovative and unique solutions to real-world hard problems that require urgent solutions.
The main event will occur 29 Apr-10 May 2019 at JEB Fort Story – Little Creek, Virginia.
DIA is specifically interested in technologies that focus on unique, innovative, or creative communication capabilities, sensor capabilities, as well as emerging and innovative technologies that are ready for rapid operational transition. Submissions could include modifications to existing technology to meet mission needs as well as proofs of concept that are ready for demonstration in a relevant or operational environment.
All sponsored contractors for the event will be required to sign a Non-Disclosure Agreement (NDA) prior to participation.
Contractors are responsible for all incurred expenses and sponsored project does not obligate the government for expenses and/or future contracts. The U.S. Government shall not be liable for any costs or expenses for the attendance of this event. If selected, it is HIGHLY ENCOURAGED that personnel with strong technical and engineering knowledge of projects attend the exercise.
Upon formal notice of government project sponsorship, access will be granted to the TS portal for project registration and instructions.
Submission to this announcement does not supersede established project submission processes for TS. Submission to this announcement is a method for DIA sponsorship to the event.
Security Clearance Level required to attend the event: SECRET//NOFORN
Project submissions can be classified.
a. Interested parties are requested to respond to this announcement by submitting a white paper through DIA’s NeedipeDIA process located at https://www.dia.mil/business/needipedia specifically, Need 11 Emerging and Innovative Technologies for Rapid Operational Transition.
b. DIA reserves the right to review late submissions but makes no guarantee to the order of, or possibility for, review of late submissions. Responses shall be limited to requirements as defined by the NeedipeDIA process. If you plan to submit a classified response please notify firstname.lastname@example.org via an unclassified message, so it can be tracked appropriately.
c. Responses for TS are due no later than 4:00 PM (local Eastern Time) on Friday, November 15, 2019. EARLY SUBMISSIONS ARE HIGHLY ENCOURAGED.
d. Proprietary information, if any, should be minimized and MUST BE CLEARLY MARKED and completely separated. To help aid DIA, please segregate proprietary information. Be advised that no submissions will be returned. All submissions will be disposed of in accordance with the instructions provided in prospective sources response. If no instructions are listed, the DIA will dispose of submissions at their discretion. Additionally, ensure all classifications markings are correct on the submitted responses.
e. Responses to this RFI may be evaluated by Government technical experts. The program office has contracted for various non-government scientific, engineering, technical and administrative staff support services, some of which require contractors to obtain access to proprietary information submitted by other contractors. All non-government contractor support personnel have signed and are bound by appropriate non-disclosure agreements and organizational conflict of interest statements. Prospective offerors are advised that only Government Contracting Officers are legally authorized to commit the Government.
f. Upon favorable government evaluation the company will receive further instructions. No logistical or financial support will be provided to invitees to attend the Technology Demonstration.
Other Innovative Capabilities
NeedipeDIA CLOSED or MOVED Needs