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NeedipeDIA

The classified DIA NeedipeDIA site is now operational.  To view the list of needs visit the Ideas to Action website on Intelink and follow the NeedipeDIA link, or go to ACE and ARC.

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).

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, found on www.fbo.gov and www.grants.gov, must identify the specific need by number using the list below. Detailed instructions for expressing your solution(s) are found within the Open BAA.


PROPOSALS NOT FOLLOWING THE INSTRUCTIONS CONTAINED IN THE BAA WILL NOT BE EVALUATED.

We look forward to hearing from you.


More Information »

NeedipeDIA FAQ »

STEPS TO SUBMIT A WHITE PAPER:

  1. Click to read the Open BAA instructions.
  2. Identify one of the Needs from the list below that best matches your proposed solution.
  3. Prepare a white paper following the format requirements starting on page 8 of the Open BAA and use the most current coversheet. 
  4. Send your unclassified white paper to Ideas2Action@dodiis.mil or your classified white paper to Ideas2Action@coe.ic.gov if you have access to a secure channel.  


HINTS FOR A SUCCESSFUL REVIEW:



Properly aligning your capability to a mission need (below) is essential for successful review. Specifically:

  • If you can't articulate how your capability addresses the mission need, then you have probably selected the wrong mission need.
  • Section 4 of your white paper is used to route the proposed innovative method, process, or technology to the end-users closest to the mission need.  
  • The more specific the need, the better chance of aligning funds to support.  Specific needs are identified by longer strings of numbers, i.e., "3.1U1 Object Based Intelligence" is more specific than "3. New Analysis Technologies and Methods"
  • If you need clarity on a mission need, please ask and we will work to enhance clarity.
  • Mission relevance is the most important review criteria.
  • White papers should avoid technical jargon and product branding.
  • Mission review of needs 6 (Science and Technology) and 7.1 (Information Technology) is more technical. Feel free to expound on the technical merit of your approach.
  • For all other categories, white papers should speak to direct mission impact.  Technical merit will be formally established later during the proposal review stage.
  • NeedipeDIA is designed to support DIA's "Start Small. Scale Fast. Fail Cheap." approach.
  • Smaller (<$650,000) initiatives are preferred.
  • Quick win (within 6 months) initiatives are preferred.
  • For Category 6 (Science and Technology), longer projects (<18 months) may be warranted.
  • Other solicitations methods are used for Major Systems Acquisitions.
  • Open/Considering indicates a more general DIA mission area need, while Open/Active indicates an innovative solution is more urgent.

UPDATED NEEDS LIST AND STRUCTURE BELOW!  Please review and submit your white papers according to this new structure.  If you have already submitted white papers under the former structure, they will continue to be reviewed against those needs.

Current Needs

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1.1 Machine Learning & Natural Language Processing (NLP) to Identify & Organize Weapon System Information in Big Data

DIA seeks to understand industry 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. 

• Response Type: BAA
• Status: Open/Considering 
• Additional Evaluation Criteria: None

 

1.2:  AI & ML Tools to Conduct Collection, Research, Information Monitoring, Automated Reporting, Thematic Data Management, Data Transformation, and Database Development

DIA seeks to understand industry 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. 

• Response Type: BAA
• Status: Open/Considering 
• Additional Evaluation Criteria: None

 

1.3 Machine Learning Support to Workflow Automation Activities

DIA seeks to understand industry 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.

• Response Type: BAA
• Status: Open/Considering 
• Additional Evaluation Criteria: None

 

1.4 Tools for Predictive Analysis, Alerting, and Indications and Warning (I&W)

DIA seeks to understand industry capabilities and methodologies for applying artificial intelligence, machine learning, and predictive analysis algorithms to Indications and Warning (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.

• Response Type: BAA
• Status: Open/Considering 
• Additional Evaluation Criteria: None

 

1.5 Semi-Autonomous Multi-Sensor Fusion Leveraging Artificial Intelligence (AI)

Description: DIA seeks to understand industry 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.

• Response Type: BAA
• Status: Open/Considering 
• Additional Evaluation Criteria: None

1.6 Artificial Intelligence and Machine Learning Support to Military Operations

DIA seeks to understand industry 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.

• Response Type: BAA
• Status: Open/Considering 
• Additional Evaluation Criteria: None

1.7 Artificial Intelligence (AI) and Machine Learning Support to Business Operations

DIA seeks to understand industry 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.

• Response Type: BAA
• Status: Open/Considering 
• Additional Evaluation Criteria: None

 

1.8 Artificial Intelligence and Machine Learning Support to the Data Science Environment

DIA seeks to understand industry 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.

• Response Type: BAA
• Status: Open/Considering 
• Additional Evaluation Criteria: None

 

1.9 Artificial Intelligence and Machine Learning Support to Finished Intelligence Products and Knowledge Management

DIA seeks to understand industry 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.

• Response Type: BAA
• Status: Open/Considering 
• Additional Evaluation Criteria: None

 

1.10 Artificial Intelligence and Machine Learning Support to Open Source Information Gathering

DIA seeks to understand industry 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.

• Response Type: BAA
• Status: Open/Considering 
• Additional Evaluation Criteria: None

 

1.11 Machine Learning Support to the Management of Tasking from Multiple Sources

DIA seeks to understand industry 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.

• Response Type: BAA
• Status: Open/Considering 
• Additional Evaluation Criteria: None

 

1.12 Artificial Intelligence and Machine Learning Support to Dynamic Threat Analysis Modeling

DIA seeks to understand industry 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.

• Response Type: BAA
• Status: Open/Considering 
• Additional Evaluation Criteria: None

 

1.13 Artificial Intelligence and Machine Learning Support to the Assessment of Performance Measures

DIA seeks to understand industry 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.

• Response Type: BAA
• Status: Open/Considering 
• Additional Evaluation Criteria: None

 

1.14 Artificial Intelligence and Machine Learning Support to Human Resource Recruiting

DIA seeks to understand industry 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.

• Response Type: BAA
• Status: Open/Considering 
• Additional Evaluation Criteria: None

 

1.15 Artificial Intelligence and Machine Learning Support to Publication Author Relationships

DIA seeks to understand industry 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.

• Response Type: BAA
• Status: Open/Considering 
• Additional Evaluation Criteria: None

 

1.16 Artificial Intelligence and Machine Learning Support to Signature Identification

DIA seeks to understand industry 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.

• Response Type: BAA
• Status: Open/Considering 
• Additional Evaluation Criteria: None

 

1.17 Artificial Intelligence and Machine Learning Support to Records Management

DIA seeks to understand industry 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.  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.

• Response Type: BAA
• Status: Open/Considering 
• Additional Evaluation Criteria: None

 

1.18 Artificial Intelligence and Machine Learning Support to Cybersecurity

DIA seeks to understand industry 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.

• Response Type: BAA
• Status: Open/Considering 
• Additional Evaluation Criteria: None

2.1 New Analysis Technologies and Methods

 

DIA is responsible for producing 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.

• Response Type: BAA
• Status: Open/Considering 
• Additional Evaluation Criteria: None

3.1 Counterintelligence (CI) Capability Development

DIA seeks 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.

• Response Type: BAA
• Status: Open/Considering 
• Additional Evaluation Criteria: None

3.2 Security Support Solutions

3.2.1 Continuous Evaluation

DIA seeks 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.

• Response Type: BAA
• Status: Open/Considering 
• Additional Evaluation Criteria: None

3.3.1 Cyber Behavior

DIA seeks 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.

 

• Response Type: BAA
• Status: Open/Considering 
• Additional Evaluation Criteria: None

DIA seeks development of new and improved intelligence collection capabilities with the goals of improving the timeliness, quality, quantity, and relevance of information gathered by DIA in support of human (HUMINT), and technical collection means including new models and methods for open source (OSINT), measurement and signature intelligence (MASINT), and counterintelligence (CI) practices.


•Response Type: BAA
•Status: Open/Considering      
•Additional Evaluation Criteria: None

 

 4.1 Human Intelligence Capability Development

DIA seeks development of new and improved human intelligence capabilities with the goals of improving the timeliness, quality, quantity, and relevance of information gathered by DIA in support of human intelligence consumers.


 •Response Type: BAA
 •Status: Open/Considering
 •Additional Evaluation Criteria: None

 

 4.1.1 Human Intelligence Technical Operations

DIA seeks development of a system to efficiently conduct timely identification, assessment, and communication of key advances, changes, or trends that constitute threats to individuals, organizations, and operations associated with sensitive activities in order to enable threat warning to operational elements as well as support the planning, development, and fielding of countermeasure capabilities.
 •Response Type: BAA
 •Status: Open/Considering
 •Additional Evaluation Criteria: None

 

 4.1.2 Human Intelligence Personal Electronic Device (PED)

DIA seeks development of a cellular Personal Electronic Device (PED) that can operate in varying threat environments, will require monitoring and signature reduction. The system must support management of thousands of such devices, and the ability to segregate work and personal data, while ensuring the security of the device and any data stored thereon.


 •Response Type: BAA
 •Status: Open/Considering
 •Additional Evaluation Criteria: None

 

4.1.2.5 Discrete Communications

DIA seeks development of a discrete, hard to detect, reliable communications capability for secure data transmission by field personnel, without linking destination and source. The system must be easy to maintain, low profile, utilize a broad range of transmission mediums (e.g TCP/IP, Cell systems, LPI/LPD, WiFi), and include a commercial electronic data storage capability.


 •Response Type: BAA
 •Status: Open/Considering
 •Additional Evaluation Criteria: None

 

4.4 Measurement and Signature Intelligence (MASINT) Research and Development (R&D)


 4.4.0 Revolutionary or Innovative MASINT

DIA seeks to understand industry capabilities and methodologies regarding the next generation of capabilities and platforms to advance the MASINT enterprise. This category captures initiatives which create new MASINT capabilities currently not captured by legacy systems and will be considered if the benefits clearly outweigh the cost and time involved. Responses should include techniques developed for commercial or non-intelligence applications that are applied in an ingenious manner (i.e. Innovation) current intelligence gaps.


•Response Type: BAA
 •Status: Open/Considering
 •Additional Evaluation Criteria: None

5.1 Forensic Technology Advancement for Documents and Digital Media

DIA seeks advances related to digital forensic techniques for collecting, processing, and exploiting documents, digital, and traditional media by enhancing the speed, volume, and clarity of information recovered.  DIA encourages proposals with new solutions that address any of the many challenges in this space, including: media acquisition, human language technologies, computer vision, digital signals processing, and data/process/user artifact analysis.

• Response Type: BAA
• Status: Open/Considering 
• Additional Evaluation Criteria: None

5.1.1 Document and Media Acquisition

DIA seeks 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.

• Response Type: BAA
• Status: Open/Considering 
• Additional Evaluation Criteria: None

5.1.2 Human Language Technologies

DIA seeks 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.

• Response Type: BAA
• Status: Open/Considering 
• Additional Evaluation Criteria: None

5.1.3 Computer Vision

DIA seeks advances 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.

• Response Type: BAA
• Status: Open/Considering 
• Additional Evaluation Criteria: None

5.1.4 Digital Signals Processing

DIA seeks advances 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.

• Response Type: BAA
• Status: Open/Considering 
• Additional Evaluation Criteria: None

 

5.1.4.1 Electronic Signatures

DIA seeks development of a system to manage passive and/or indirect electronic signatures and patterns of life in order to ensure the security and supportability of individuals and operations during authorized and approved lawful surveillance activities, by preventing/limiting linkage to real world operational activities and relationships.

 

• Response Type: BAA
• Status: Open/Considering 
• Additional Evaluation Criteria: None

5.1.4.2 RF Signatures

DIA seeks to understand industry's capabilities and concepts that support the development of RF Signatures.  For further information please review the NSA and NRO ACEs on JWICS.

• Response Type: BAA
• Status:  Open/Considering until 15 June 2018 
• Additional Evaluation Criteria: Data Rights Assertions

5.1.5 Data, Process, and User Artifact Analysis

DIA seeks 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.

• Response Type: BAA
• Status: Open/Considering 
• Additional Evaluation Criteria: None

5.9.1 Underground Construction

DIA seeks development of a standoff and/or covert system that can aid in the detection, monitoring and classification of underground construction projects in any location worldwide during authorized and approved lawful surveillance activities. This system will provide reliable estimates of size, shape and depth of excavations and facilities therein.

 

• Response Type: BAA
• Status: Open/Considering 
• Additional Evaluation Criteria: None

Core mission capacity will be improved by training and shaping the workforce to ensure critical competencies are either in place or available for augmentation. Additionally, DIA will target recruitment, training, and retention approaches to achieve optimal performance from multiple workforce generations, with diverse backgrounds, possessing various levels of technological and social networking skills.

• Response Type: BAA
• Status: Open/Considering 
• Additional Evaluation Criteria: None

6.1 Information Technology

DIA seeks 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.

• Response Type: BAA
• Status: Open/Considering 
• Additional Evaluation Criteria: None

6.1.1 Customer Support and Governance

DIA seeks 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. 

• Response Type: BAA
• Status: Open/Considering 
• Additional Evaluation Criteria: None

6.1.3 Big Data, Data Management, and Analytics

DIA seeks 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.

• Response Type: BAA
• Status: Open/Considering 
• Additional Evaluation Criteria: None

6.1.5 Infrastructure, Infrastructure as a Service (IaaS) and Cloud Management

DIA seeks innovative approaches and solutions to perform operations and maintenance for infrastructure, services and applications across the DoDIIS enterprise.  Solutions should work to troubleshoot and fix operational problems and provide global oversight and reporting of the operational status of these services, capabilities and infrastructure components to ensure proactive responses for our customers.

• Response Type: BAA
• Status: Open/Considering 
• Additional Evaluation Criteria: None

6.1.6 Information Assurance and Cyber Defense

DIA seeks 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. 

• Response Type: BAA
• Status: Open/Considering 
• Additional Evaluation Criteria: None

6.5.1 Operations Support

DIA may consider 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.

• Response Type: BAA
• Status: Open/Considering 
• Additional Evaluation Criteria: None

6.5.4.1 Mission Services Operations Center

DIA may 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.

• Response Type: BAA
• Status: Open/Considering 
• Additional Evaluation Criteria: None

DIA’s performance management program will 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.

  • Response Type: BAA
  • Status: Open/Considering      
  • Additional Evaluation Criteria: None 

7.1.1 Increase Workforce Advancement and Screening Effectiveness

DIA seeks 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. 

  • Response Type: BAA
  • Status: Open/Considering      
  • Additional Evaluation Criteria: None                 

8.1 Empower Partnerships for the Academy for Defense Intelligence

DIA’s Academy for Defense Intelligence seeks 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.

• Response Type: BAA
• Status: Open/Considering 
• Additional Evaluation Criteria: None

USSSTRATCOM

99.0 Consolidated Intelligence Picture (CIP) with Smart Layers aka “Interactive Smartbook”

Combatant Commands seek to understand industry and academia capabilities to quickly

and efficiently find and display tailored Smartbook data, which is currently stored in large · PowerPoint slide decks. Smartbooks provide valuable reference data for analysts and senior leadership during exercises and real-world operations. However, the current Smartbook format (hard copy PPT) is time-consuming to access and search, and it provides no ability to display data or cross-reference information for analysis. If the Smartbook were restructured as interactive layers over a map, analysts could instantly open the profile for any location or system, greatly increasing efficiency and enabling faster response to questions from senior leadership, even displaying information directly to the Commander or J2. This

interactive design will include the following functionalities, overlays and data feeds. Responses to this need can address all or part of this description.

 

Impact: Delivery of this capability will allow the combatant command to provide faster and more

accurate intelligence support to command operations during exercise and crisis.

• Response Type: BAA
• Status: Open/Considering-Suspense 9 November 2017. Review/ Selection for presentation at DIA’s Industry Day 13-14 December 2017
• Additional Evaluation Criteria: None

99.1 User-Defined Cross-Domain RSS Feed Request

Combatant Commands seek to understand industry and academia capabilities to deliver an

information technology tool that would be able to take user-defined parameters (topic, country, source, etc.) and search open-source (OSINT) data in an automated fashion for specific information germane to that parameter. Given these defined parameters, the tool would be able to port culled information from across various domains up to either SIPRNET, JWICS or both so that users could readil1y use this data in briefings or other products. For example, an analyst would be able to receive Twitter updates on his/her JWICs box centered on a specific topic area. A tool such as this would provide analysts with an automated technology to search, collate and port to a higher-classified domain unclassified information and would save analysts time and effort each day to accomplish this task.

 

Impact: An initial estimate shows that this effort would save analysts an estimated 1 hour per day in research and compilation time and would affect approximately 300 people across 13 organizations.

 

• Response Type: BAA
• Status: Open/Considering-Suspense 9 November 2017. Review/ Selection for presentation at DIA’s Industry Day 13-14 December 2017
• Additional Evaluation Criteria: None

99.2 Electronic Read Board for Work Group Collaboration

Combatant Commands seek to understand industry and academia capabilities to establish

an online "electronic read board" system that works across various networks (NIPR/SIPR/J ICS) to support groups of analysts. High interest/high value reading material is critical to support philosophy of continuous improvement for a work group of analysts. Routinely, an informative

article/report/document/finding would make its way to a work member and/or the leadership. The value of the reading would spark a desire to share with the team, but with no structure to ensure compliance for the betterment of the group. In the past, this had been a physical output with clipboards and rosters to distribute around the work group to ensure that the group has read the literature or document. This request is an electronic version of this process. With the advent of data analytics and other search algorithms, this approach could be advanced with the development of an electronic read board. Similar to industry (e.g., Amazon, Target, etc.), the history of "likes" and "interests' would be captured and additional reading would be discovered for further sharing within the work group. For example, recently an article capturing the guidance from GEN Hyten, Commander USSTR4 COM, was discovered and shared. If this had been incorporated into the before mentioned electronic read board the sharing would be streamlined with additional links of previous GEN Hyten's guidance. The work group flow could include opportunities for comments and "rankings" for further data analytic opportunities.

 

Impact: An electronic read board would significantly enhance team improvement and encourage a learning environment for all members of the workforce.

 

• Response Type: BAA
• Status: Open/Considering-Suspense 9 November 2017. Review/ Selection for presentation at DIA’s Industry Day 13-14 December 2017
• Additional Evaluation Criteria: None

USPACOM

99.3 Automated Data Transformation, Integration Access and Visualization

Combatant Commands seek to understand industry and academia capabilities for

automating the transformation of data (extract, transform, load [ETL]) from various information formats and sources to make the data available to DoD systems and tools, such as the Global Command and Control System {GCCS}, Modernized Integrated Data Base (MIDB} and Quellfire. Combatant Commands are interested in tools that can automatically convert structured and unstructured data into a format that can be easily integrated with existing data repositories and data analytics, as well as displayed into visualization layers of DoD systems. These tools must act on large amounts of unstructured data in various formats and accommodate dynamic data flows. Responses to this need can address all or part of

this description.

 

• Response Type: BAA
• Status: Open/Considering-Suspense 9 November 2017. Review/ Selection for presentation at DIA’s Industry Day 13-14 December 2017
• Additional Evaluation Criteria: None

99.4 Data Analytics and Visualization to Support Indications and Warning

Combatant Commands seek to understand industry and academia capabilities and

methodologies for state of the art visualization and data analytics to support Predictive Analysis,

Alerting, and Indications and Warning to support the CCMD mission areas. Solutions will analyze and visually display predictive analytics on changes observed in the battlespace and areas of control during peacetime and during conflict.

 

• Response Type: BAA
• Status: Open/Considering-Suspense 9 November 2017. Review/ Selection for presentation at DIA’s Industry Day 13-14 December 2017
• Additional Evaluation Criteria: None

99.5 Visualization and Modeling of Complex Battlespaces

Combatant Commands seek to understand industry and academia capabilities and

methodologies for visualizing and modeling complex battlespaces. The modern battlespace includes not just ground, maritime, and aviation forces, it also includes space assets and the cyber Domain. This capability must fuse Multi-INT sensor data for real-time battlespace awareness and predicative analysis at the strategic, operational, and tactical levels of warfare. This need will identify semi-automated tools that can conduct analytics of open source data, intelligence sensor data, finished intelligence, financial intelligence, foundational intelligence, and other forms of intelligence reporting to locate trends, create alerts that require attention, and to recommend actions based upon sensor feeds. One of the key tasks of intelligence planners is to determine likely enemy courses of action. They need a tool so they can visualize the complex battlespace and run "what-if scenarios" to determine how different enemy courses of action would have different operational impacts on the battlespace. Solutions would 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. Specific focus areas include technologies that have the capability to "learn" from complicated and diverse information flows that are used for Indications & Warning (l&W), track prediction, collision avoidance and targeting. Responses to this need can address all or part of this description.

 

• Response Type: BAA
• Status: Open/Considering-Suspense 9 November 2017. Review/ Selection for presentation at DIA’s Industry Day 13-14 December 2017
• Additional Evaluation Criteria: None

99.6 Visualization to Enable Understanding of Actions in Cyberspace

Combatant Commands seek to understand industry and academia capabilities and

methodologies for visualizing and understanding actions in Cyberspace. Cyberspace is a complex environment that is difficult to understand and visualize. This visualization tool would include features that facilitate understanding of Cyber events by non-Cyber experts.

 

• Response Type: BAA
• Status: Open/Considering-Suspense 9 November 2017. Review/ Selection for presentation at DIA’s Industry Day 13-14 December 2017
• Additional Evaluation Criteria: None

99.7 Machine Learning and Natural Language Processing (NLP) to Process Data from Finished Intelligence on Malicious Cyber Activity

Combatant Commands seek to understand industry and academia capabilities and

methodologies for leveraging Machine Learning (ML) techniques combined with other tools like natural language processing (NLP) to automatically identify technical terms and names associated within complex descriptions of malicious cyber activity, attributions, and targeting of networks. 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. Cyber activity is inherently complex and described through very technical language. Tools and methods are sought to determine how to manage technical language associated with malicious cyber activity. This technical language is highly unique to the cybersecurity workforce. 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 Al tools, these knowledge systems have to be able to be used to support other Al tools. Once relevant data has

been identified, this data will become part of an updated, centralized data model cataloguing

attribution, activity, target, and date of malicious cyber activity.

 

• Response Type: BAA
• Status: Open/Considering-Suspense 9 November 2017. Review/ Selection for presentation at DIA’s Industry Day 13-14 December 2017
• Additional Evaluation Criteria: None

99.8 Artificial Intelligence and Machine Learning Support to Cybersecurity

Combatant Commands seek to understand industry and academia capabilities and

methodologies for applying artificial intelligence (Al) and machine learning (ML) to cybersecurity.

Solutions will 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.

 

• Response Type: BAA
• Status: Open/Considering-Suspense 9 November 2017. Review/ Selection for presentation at DIA’s Industry Day 13-14 December 2017
• Additional Evaluation Criteria: None

99.9 Low Cost, Persistent Intelligence Surveillance and Reconnaissance (ISR) Capabilities

Combatant Commands seek to understand industry and academia capabilities and

methodologies for low cost and persistent ISR. As an example, this could include prepositioned and unattended sensors. These unobtrusive sensors would be easy to remotely deploy and operate for 6 months or more with or without remote control.

 

• Response Type: BAA
• Status: Open/Considering-Suspense 9 November 2017. Review/ Selection for presentation at DIA’s Industry Day 13-14 December 2017
• Additional Evaluation Criteria: None

99.10 Machine Learning to Analyze Drone Video, Commercial Satellite Imagery, Social Media Posts and Conduct 3D Mapping

Combatant Commands seek to understand industry and academia capabilities and

methodologies for machine learning (ML) and artificial intelligence (Al) to identify and conduct change detection in military objects and transportation and communication infrastructure in drone video, commercial satellite imagery, and social media posts. Combatant Commands are also interested in conducting 30 mapping based on these sources.

 

• Response Type: BAA
• Status: Open/Considering-Suspense 9 November 2017. Review/ Selection for presentation at DIA’s Industry Day 13-14 December 2017
• Additional Evaluation Criteria: None

99.11 Semi-Autonomous Multi-Sensor Fusion Leveraging Artificial Intelligence (AI)

Combatant Commands seek to understand industry and academia capabilities and

methodologies regarding technology that can leverage Al-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 Al 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.

 

• Response Type: BAA
• Status: Open/Considering-Suspense 9 November 2017. Review/ Selection for presentation at DIA’s Industry Day 13-14 December 2017
• Additional Evaluation Criteria: None

99.12 Resilient Position, Navigation, and Timing (PNT)

Combatant Commands seek to understand industry and academia capabilities and

methodologies for resilient position, navigation and timing capabilities that are resistant to or can adapt to jamming.

 

• Response Type: BAA
• Status: Open/Considering-Suspense 9 November 2017. Review/ Selection for presentation at DIA’s Industry Day 13-14 December 2017
• Additional Evaluation Criteria: None

 

99.13 Hypersonic Object Recognition, Analysis and Display

Combatant Commands seek to understand industry and academia capabilities and

methodologies to track a hypersonic object (reaching Mach 5 or higher) to include calculating its speed, range, and tracking its unpredictable flight pat tern. The track path must be viewable on a situational awareness display.

 

• Response Type: BAA
• Status: Open/Considering-Suspense 9 November 2017. Review/ Selection for presentation at DIA’s Industry Day 13-14 December 2017
• Additional Evaluation Criteria: None

99.14 Chemical and Biological Threat Analysis and Warning

Combatant Commands seek to understand industry and academia capabilities and

methodologies to leverage small drones (under 5 lbs.) to conduct persistent comprehensive

surveillance, threat, and forensic analysis, and identification of biological and chemical threats. Results should provide inputs to early detection, warning and situational awareness systems.

 

• Response Type: BAA
• Status: Open/Considering-Suspense 9 November 2017. Review/ Selection for presentation at DIA’s Industry Day 13-14 December 2017
• Additional Evaluation Criteria: None

99.15 Next Generation Secure Mobile Communications Technology

Combatant Commands seek to understand industry and academia capabilities and

methodologies for secure mobile communications. This includes "Zero Clients", low power' networks, devices that only work on one network and high performance cryptography that meets or exceeds NSA standards for TS SCI networks. We are also interested in secure mobile communications that are resistant to or can adapt to jamming.

 

• Response Type: BAA
• Status: Open/Considering-Suspense 9 November 2017. Review/ Selection for presentation at DIA’s Industry Day 13-14 December 2017
• Additional Evaluation Criteria: None

99.16 Next Generation Collaboration Tools

Combatant Commands seek to understand industry and academia capabilities and

methodologies for next generation collaboration tools. This includes comprehensive collaboration environments and wearable tech.

 

• Response Type: BAA
• Status: Open/Considering-Suspense 9 November 2017. Review/ Selection for presentation at DIA’s Industry Day 13-14 December 2017
• Additional Evaluation Criteria: None

99.17 Understanding the Information Environment

Combatant Commands seek to understand industry and academia capabilities and

methodologies to conduct automated sentiment analysis of on-line and social media content to

determine effectiveness of CCMD strategic messaging. Automated sentiment analysis of on-line and social media would help determine if CCMD efforts to achieve these shaping objectives are making progress.

 

• Response Type: BAA
• Status: Open/Considering-Suspense 9 November 2017. Review/ Selection for presentation at DIA’s Industry Day 13-14 December 2017
• Additional Evaluation Criteria: None

99.18 Automate and Integrate Workflows for Production Cycle Tasks

Combatant Commands seek to understand industry and academia capabilities and

methodologies for using natural language processing (NLP) and machine learning (ML) to automate and integrate workflows for multiple tasks in the production cycle: collection, tagging, organizing, research, review, sourcing, source packet, source evaluation, structured analytic techniques, visualizations, and writing. This process must act on large amounts of unstructured data in various formats and potentially accommodate dynamic data flows. The process should enable analysts with common goals and responsibilities to collaboratively monitor, evaluate, and track reporting and report significance based on specific issues. This capability will be interactive, flexible, modular, and tailorable. While informal and collaborative in nature, a solution would be publicly viewable and provide measurable awareness or

progress toward identified goals and to prepare data for anticipatory analysis, according to

available/reviewed reporting. It should be compatible with external data sets that support indications and warning of specific activities.

 

• Response Type: BAA
• Status: Open/Considering-Suspense 9 November 2017. Review/ Selection for presentation at DIA’s Industry Day 13-14 December 2017
• Additional Evaluation Criteria: None

99.19 Artificial Intelligence and Machine Learning Support to Finished Intelligence Products and Knowledge Management

 

Combatant Commands seek to understand industry and academia capabilities and

methodologies for applying artificial intelligence and machine learning to scan 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.

 

• Response Type: BAA
• Status: Open/Considering-Suspense 9 November 2017. Review/ Selection for presentation at DIA’s Industry Day 13-14 December 2017
• Additional Evaluation Criteria: None

USSOUTHCOM

99.20 Continuous Data Monitoring

 

Combatant Commands seek to understand industry and academia capabilities and

methodologies for commercial non-traditional approaches to maintain situational awareness and to stay ahead of a theater event. With recent advances in cloud computing, big data, social media communications and machine learning, there is valuable intelligence resident in commercial and publically available data that can be used track and display the general status of a particular region and to be also used to monitor a particular event in real time. We believe that continuous data profiling (data monitoring) combined with commercially available data models can inform CCMD leaders of an impending event, will detect relevant anomalies, and will identify trends that aid in decision making.

 

• Response Type: BAA
• Status: Open/Considering-Suspense 9 November 2017. Review/ Selection for presentation at DIA’s Industry Day 13-14 December 2017
• Additional Evaluation Criteria: None

USAFRICOM

99.21 Autonomous Examination and Search of Publically Available Information (PAI) Big Data Static Image and Video Repositories

 

Combatant Commands seek to understand industry and academia capabilities and

methodologies to leverage Al, machine learning, and Extract-Transform-Load (ETL) tools to

autonomously examine publically available big data repositories (e.g. static photos and video) to find images of interest based on one or limited reference image(s) supplied by analysts. The desired capability would enable automated persistent search through vast PAI holdings and other sources of information for specific human faces, symbols, flags, logos, equipment, patterns etc. queuing resulting machine matches for human review.

 

• Response Type: BAA
• Status: Open/Considering-Suspense 9 November 2017. Review/ Selection for presentation at DIA’s Industry Day 13-14 December 2017
• Additional Evaluation Criteria: None

99.22 Automated Multi-Level Data Service Consumption by Users/Applications Operating On Disparate Networks

 

Combatant Commands seek to understand industry and academia capabilities and

methodologies to autonomously access data from multiple classification levels and present this data to an analyst without duplicating this data. This capability will be compliant with security standards and will enable the dynamic consumption of data enabled services residing at lower classification levels by users and applications that are operating on higher-classification networks. The data presented to the user or application would remove duplicate data sets without creating lags in latency. For example, a JWICS or SIPR user with ArcGIS operating on their desktop is able to consume services directly within their ArcGIS application (without further action by the user) from an unclassified internet available resource like: https://livingatlas.arcgis.com.

 

Impact: This capability would allow analysts greater use of unclassified data sources, would reduce personnel hours attempting to duplicate and then maintain data, and would enable the creation of intelligence models to aid warning (when the relevant data is on the open internet), and will improve the efficiency of DoD/IC collection operations.

 

• Response Type: BAA
• Status: Open/Considering-Suspense 9 November 2017. Review/ Selection for presentation at DIA’s Industry Day 13-14 December 2017
• Additional Evaluation Criteria: None

 

99.23 Internet as a Sensor - Automated Detection of Macro Anomalies

 

Combatant Commands seek to understand industry and academia capabilities and

methodologies to leveraging Al and/or machine learning to autonomously and remotely examine

Internet usage (bandwidth consumption/availability) and outages across an area of responsibility; to determine what "normal" internet activity looks like (time of day, month, holidays etc.); and to alert analysts when internet use "spikes/surges" or when internet use is abnormally low and/or cut-off. This capability will provide indications of anomalous activity, perhaps warranting analyst attention, based on the principal of using the " Internet as a sensor".

 

• Response Type: BAA
• Status: Open/Considering-Suspense 9 November 2017. Review/ Selection for presentation at DIA’s Industry Day 13-14 December 2017
• Additional Evaluation Criteria: None

99.24 Automated Natural Language Processing (NLP) to Parse Spatial and/or Temporal Information into Structured Data Layers for Analysis

 

Combatant Commands seek to understand industry and academia capabilities and

methodologies to automate natural language processing {NLP) of paired gazetteer(s) (a geographical reference or dictionary) with the ability to process place names (spelled in multiple ways) and to logically and automatically parse temporal and spatial referencing information (in several different formats) to create normalized data layers for use in analysis. This capability is sought to help quickly analyze unstructured text information in the classified and publically available information arena. Currently, structuring unstructured data is a time consuming manual process which often prevents analysts from fully assessing and/or using the range of information available to them in analysis.

 

• Response Type: BAA
• Status: Open/Considering-Suspense 9 November 2017. Review/ Selection for presentation at DIA’s Industry Day 13-14 December 2017
• Additional Evaluation Criteria: None

99.25 Automated Discovery of Internet-Connected Sensor to Support Disaster Relief

 

Combatant Commands seek to understand industry and academia capabilities and

methodologies to automate the discovery of Internet-connected sensors (weather, stream gauges, cameras, seismic, etc.) and their status across specified geographic extents. The purpose of these sensor listings (on, off, providing data etc.) is to better understand the impacted area during natural and/or man-made disasters.

 

• Response Type: BAA
• Status: Open/Considering-Suspense 9 November 2017. Review/ Selection for presentation at DIA’s Industry Day 13-14 December 2017
• Additional Evaluation Criteria: None

2. Supports Contingency Response

Develop and implement a unified contingency response to facilitate rapid transition to support multiple, concurrent military contingency operations.

  • Response Type: BAA 
  • Status: CLOSED      
  • Additional Evaluation Criteria: None

3.0U0 Activity Based Intelligence (under Trunk Need “New Analysis Technologies and Methods”)

NGA seeks innovative capabilities and methods to extend Activity Based Intelligence (ABI) tradecraft. Activity Based Intelligence (ABI) refers to a concept formalized in 2010 by the Office of the Under Secretary of Defense for Intelligence (OUSD(I)) in a white paper entitled Surveillance Employment Strategies for Irregular Warfare and followed up in subsequent USD(I) papers. ABI approaches intelligence problems by analyzing events and transactions (activity) in a spatial and temporal context, understanding available data and its underlying properties, and analyzing that data in a forensic fashion to enable network analysis, particularly against non-traditional hard targets (such as terrorists, non-state weapons proliferators, and narcotics networks). It also relies on the processing of large quantities of data, either manually or through automated means, in order to make data spatially discoverable to the analyst. In this way, ABI focuses on spatial correlations that may not be visible through logical or relational databases like M3 and TRIDENT.

NGA, consistent with the USD(I) papers, defines ABI as "a multi-INT approach to activity and transactional data analysis to resolve unknowns, develop object and network knowledge, and drive collection.”

In its simplest form, ABI focuses on analyzing events and transactions in a spatial environment to address intelligence problems by discovering or resolving unknown entities and their associated networks. ABI also facilitates the efficient use of limited collection resources by integrating multiple forms of intelligence in a common framework as early as possible, changing the paradigm of traditional "TCPED" and enabling analysts and collection officers to use other INTs in order to narrow the scope of data to be exploited manually.

  • Response Type: BAA
  • Status: CLOSED      
  • Additional Evaluation Criteria: None

3.0U1 Object Based Production (under Trunk Need “New Analysis Technologies and Methods”)

DIA seeks innovative methods for structuring information and knowledge into the smallest possible elements to maximize collaboration and reuse. Of particular interest are tools to normalize ontologies and automatically tag content with a high degree of accuracy and minimum training time.

  • Response Type: BAA 
  • Status: CLOSED
  • Additional Evaluation Criteria: None

3.0U2 Advancements in Urban Warfare (under Trunk Need “New Analysis Technologies and Methods”)

DIA is seeking innovative intelligence tradecraft and capabilities to support the future of U.S. forces’ involvement in urban warfare.  Recent conflict has demonstrated the need to advance intelligence support for tactics, techniques, and procedures in support of an evolving warfighting function necessitated by urban conflict: Engagement. Support includes advances in the understanding of human terrain, influence operations rooted in open sources and social media, and strengthening linkages between strategic, operational, and tactical situational awareness.  According to the Army Capabilities Integration Center seminar of the same title, “future Megacity operations will require new capabilities, concepts, and doctrine” for U.S. forces operating in “a dynamic environment, changing not only block-to-block, but day-to-day… [amidst] multipolarity and rising state and non-state actors empowered by technology, potential adversaries [with] sanctuary in ungoverned areas and concealment in congested populated areas.”  Megacities are those metropolises of more than 10 million people with similar overarching characteristics. Nevertheless, each megacity is different in and of itself. In particular megacities located in developing countries are of special concern because they are described as ‘ill-structured,’ featuring a mixture of formal, informal and illicit structures complicated by rapid growth. Mega cities in coastal regions – in proximity to major ports and airfields – are of interest as they [are] influence points of entry.  Innovative capabilities supporting DIA’s efforts in this area of future analysis include but are not limited to Object Based Production (OBP) capabilities, Big Data capabilities, novel tradecraft approaches, novel intelligence fusion approaches, novel social-science modeling or predictive techniques. Via this need, DIA is not seeking additional studies. Rather, DIA seeks solutions that emphasize new tradecraft and include an evidence based evaluation of methods and practices.

  • Response Type: BAA
  • Status: CLOSED
  • Additional Evaluation Criteria: None

3.0U3 Crowd Sourcing Solutions (under Trunk Need “New Analysis Technologies and Methods”)

DIA seeks to acquire innovative crowd sourced information to better understand global, high priority defense and national security issues.  DIA expects the crowd’s insight and expertise on the topic(s) will be captured and made available for review.  Anticipated final deliverables should include such things as a final report, associated graphics/visualizations, and details on the sources used to justify assessments.  Once a contract is in place, specific unclassified research topics would be provided to initiate crowd sourced information acquisition over a predefined period of time.

  • Response Type: BAA
  • Status: CLOSED
  • Additional Evaluation Criteria: None

5.1U0 Personal Identification (under Trunk Need “Human Intelligence Capability Development”)

DIA seeks a small form-factor camera along with accompanying processing platform capable of identifying a person under deteriorated (i.e., low-light) conditions from standoff distances of 100m or more.

  • Response Type: BAA 
  • Status: CLOSED      
  • Additional Evaluation Criteria: None

5.1U1 Credibility Assessment (under Trunk Need “Human Intelligence Capability Development”)

DIA seeks application of various small form factor technologies for the collection, processing, and display of data as it relates to credibility assessment. Technologies may include, but are not limited to, thermal or multi-spectral camera systems, visible video, or any sensors that would collect non-contact data relevant to credibility assessment during interviews or questioning.

  • Response Type: BAA 
  • Status: CLOSED
  • Additional Evaluation Criteria: None

5.1U2 Computational Modality (under Trunk Need “Human Intelligence Capability Development”)

DIA seeks a computational modality suitable for rapid processing of data streams relevant to biometrics and credibility assessment. Modality can rapidly identify and quantify mathematical incongruities in Euclidean geometries. Applications with non-Euclidean and Hilbert spaces would also be desired.

  • Response Type: BAA
  • Status: CLOSED
  • Additional Evaluation Criteria: None 
  • Q&A:

•What are examples of these data streams?  

•The data streams to be applied to this need are mathematical values derived from biometric originators.

•How is Computational Modality defined?

•Computational Modality is defined as any algorithm that will be used to compute the biometric indices needed to complete the stated objective.

•What are the use cases?

•The specific use cases for this need will center around facial recognition.

8. Enhances Technical Collection

Exploit Science and Technology/Research and Development (S&T/R&D) advances to improve Agency operations. Identify and transition new technologies in a timely manner to strengthen DIA capabilities.

  • Response Type: BAA 
  • Status: **MOVED** represented in Branch Need 4.2 Technical Collections Capability Development
  • Additional Evaluation Criteria: None

9.1U1 Next Generation Learning Environment (under Trunk Need “Increase Organizational Effectiveness”)

DIA seeks to improve the Training, Education & Development support infrastructure by creating a comprehensive Learning Environment of individualized and relevant learning material that is provided where it is needed and delivered on the learning platform that best suits the learner’s needs. The environment must allow the learner to seamlessly access a network of capable peers and/or mentors, train in multiple environments beyond the traditional schoolhouse learning domain to include Massive Open Online Courses (MOOCs), Communities of Practice, mobile learning, virtual worlds and serious games and simulation. The environment must link to individual development plans and associated occupational competency models so that learner competency progress is monitored and recorded in the Human Resource system of record.

Proposals receiving the most consideration will fully integrate the following four functional areas:

  1. Learning Management System (LMS e.g. “AGILE/Plateau”)

      •Hosts course catalogs for Intelligence Community (IC)

     •Manages course enrollment for IC 
  2. Learning Content Management System (LCMS e.g. “Blackboard”)

      •Hosts robust Schoolhouse Distance Learning capability

     •Provides faculty control of course materials and student interaction 
  3. Embedded Performance Support Solutions (EPSS)

      •Enables design and deployment of “Performance Support Brokers”

     •Enables learning “at the moment of need” within the workflow. 
  4. Advanced Analytics (AA)

      •Enables self-service access to Big Data integrated from multiple data systems (i.e EDW, Intelink, eZHR)

     •Includes self-service tool for users to rapidly build and sustain dynamic “evaluation dashboards” customized to provide effective feedback to learners, workplace learning professionals, senior management, and learner’s managers (where appropriate) on the progress of both individual and organizational Training, Education and Development efforts and initiatives.
  • Response Type: BAA 
  • Status: CLOSED – Please reference Need 6.2 Training and Professional Development and Need 8.1 Empower Partnerships for the Academy for Defense Intelligence for other training and development opportunities
  • Additional Evaluation Criteria: None
  • Q&A:

•What methods of training/education are currently provided [e.g. video, simulations, online, in the classroom, texts, assessment types, etc.] and how is it typically delivered [e.g. online or at a training center, etc.]?

•Methods currently provided include standard instructor-led classroom training in training centers as well as asynchronous training on-line. Classroom based training includes practical exercises and simulations including video applications as specified by learning objectives derived from standard instructional design principles. Online delivery can take place via Saba (formerly Centra), Adobe (IC) Connect and Blackboard in various IT domains for synchronous and asynchronous distance/distributed learning.

•How does DIA certify or assess that the training was completed satisfactorily and how is actual proficiency assessed?

•DIA currently certifies training completion using both SuccessFactors (formerly Plateau) and Meridian Learning Management Systems.  Evaluation and assessments are tailored to support mission requirements and include the Learning & Development industry standard Kirkpatrick Level 1 to 4 framework where appropriate. Actual proficiency is generally assessed by front-line supervisor expectations using a variety of informal and formal means to include the personnel appraisal process and individual development plans linking to a growing collection of updated career roadmaps based on Office of Personnel Management Occupational Job Series guidelines and proficiency definitions.

•What types of training are provided/desired - is it general training on procedures or job etiquette [e.g. info security or sexual harassment and other soft skills] or is it much more nuanced and in-depth than that [e.g. trade-craft and job specific skills]?

•Training covers a wide variety of subject matter from tradecraft to administrative support. Desired development and review of training offerings are prioritized by a disciplined governance process designed to effectively respond to rapidly changing mission requirements. Budget austerity drives innovative training and performance support design approaches that leverage a wider-variety of workplace learning assets to include webinars, coaching, mentoring, informal “brown-bag” seminars and communities of practice. These learning assets complement or replace more costly classroom/on-line formal training that is easily forgotten if not immediately applied to mission needs.

•What improvements would DIA like to see - or current gaps that the training doesn't cover or 'do'?

•DIA would like to provide more workplace-centric performance support and performance improvement services to increase agility and speed to proficiency linked to specific mission needs. These performance improvement services will mitigate and replace less efficient and less effective formal classroom training and on-line eLearning which occurs outside mission-driven workflow and is easily forgotten if not immediately applied in the workplace. Costly and limited Instructional System Design (ISD) resources can then be focused on insuring quality development of the fewer, but more critical skills requiring mastery in a safe, classroom/simulated environment for safety reasons before application in actual mission settings.

•What analytics are desired? [e.g., tracking of students' progress and results, efficacy of the training materials]

•DIA is developing data visualization tools and advanced analytic capacities to synthesize training relevant data from multiple, disparate data sources using a variety of survey tools such as QuestionMark Perception, SharePoint and Vovici.  Analytics must measure accessibility, relevance and quality of training opportunities with regard to impact on specific mission results as defined by DIA functional managers.

•What does the future of education/training at the DIA mean to you in terms of content, delivery, and assessment?

•The future of education/training at DIA must provide content that is up-to-date, correct and accessible to a globally dispersed workforce at both the speed - and moment - of learning need. Education and training content delivery must be agile and delivered on-demand via multiple technology and non-technology channels. Education and training business processes must be based on Human-Centered design principles that can rapidly recover from disposable technologies and effectively adapt to emerging technologies in concert with changing mission needs assessed through dynamic, real-time feedback loops.

10.0U0 Gateway “Alpha” Participants (under Trunk Need “Empower Partnerships”)

DIA seeks “alpha” participants in the Open Innovation Gateway. GAP activities will not be funded and do not obligate the government for future acquisition.  More information on the Open Innovation Gateway can be found at http://www.dia.mil/Business/Innovation.aspx

GAP submissions will be evaluated based on the additional criteria listed below.

  • Response Type: BAA 
  • Status:  CLOSED

Additional Evaluation Criteria:  1) Perceived mission value of proposed solution; 2) Perceived mission value of demonstration use case; 3) Ability to provide unclassified data to support demonstration use case; 4) Visual appeal of solution (provide screenshot in white paper); 5) Viability of plan to integrate with Open Innovation Gateway services in 60 days; 6) Ability to conform to DIA and IC ITE authentication, authorization, and auditing services; 7) Ability to present capability to industry audience on Innovation Day