Loren Data's SAM Daily™

FBO DAILY - FEDBIZOPPS ISSUE OF SEPTEMBER 22, 2016 FBO #5417
MODIFICATION

A -- Multi-Source Information Extraction & Network Analysis (MUSIENA)

Notice Date

9/20/2016
 

Notice Type

Modification/Amendment
 

NAICS

541712 — Research and Development in the Physical, Engineering, and Life Sciences (except Biotechnology)
 

Contracting Office

Department of the Air Force, Air Force Materiel Command, AFRL/RIK - Rome, 26 Electronic Parkway, Rome, New York, 13441-4514, United States
 

ZIP Code

13441-4514
 

Solicitation Number

BAA-AFRL-RIK-2015-0019
 

Point of Contact

Gail E. Marsh, Phone: 315-330-7518
 

E-Mail Address

Gail.Marsh@us.af.mil
(Gail.Marsh@us.af.mil)
 

Small Business Set-Aside

N/A
 

Description

The purpose of this modification is to republish the original announcement, incorporating any previous amendments, pursuant to FAR 35.016(c). This republishing also includes the following changes: (a) Section V.4: Added Paragraph 4 regarding FAPIIS review and access (b) Section VI.4: Revised Reporting requirements (c) Section VI.5: Revised highlight some of the new or revised contractual provisions (d) Section VII: Updated AFFARS Clause 5352.201-9101 Ombudsman to current version - Jun 2016 No other changes have been made. _________________________________________ NAICS CODE: 541712 FEDERAL AGENCY NAME: Department of the Air Force, Air Force Materiel Command, AFRL - Rome Research Site, AFRL/Information Directorate, 26 Electronic Parkway, Rome, NY, 13441-4514 BROAD AGENCY ANNOUNCEMENT (BAA) TITLE: Multi-Source Information Extraction & Network Analysis (MUSIENA) BAA ANNOUNCEMENT TYPE: Initial announcement BAA NUMBER: BAA-AFRL-RIK-2015-0019 CATALOG OF FEDERAL DOMESTIC ASSISTANCE (CFDA) Number: 12.800 and 12.910 I. FUNDING OPPORTUNITY DESCRIPTION: The Air Force Research Laboratory is soliciting white papers for various research and development analytics, analytical tools, algorithm developments, projects, and experiments focused on developing Multi-Source Information Extraction and Network Analysis (MUSIENA) capabilities that will provide the Air Force the means to better conduct analytical operations in support of their Intelligence, Surveillance, and Reconnaissance mission. This announcement is comprised of two projects, (1) Global Threat Discovery and Identification (GTD-ID) and (2) Emerging Threat Analytics (ETA) where each has research areas that taken together comprise the focus of MUSIENA research and development. BACKGROUND: Past research in text analysis has led to the automated capabilities that are now in use to extract relevant information from large volumes of textual data. The development of this technology has reduced textual data overload, increased the accuracy of analysis, and decreased the cycle time and manpower requirements needed to assess threats and vulnerabilities. However, this is a situation that has not remained static from either the perspective of the anticipated number of data sources or projected analytical needs. Further development is required to not just keep pace but to move beyond current performance levels, to overcome limitations in moving to new data types and domains, and to achieve new, more sophisticated capabilities. Fundamentally the analysis of textual content must produce higher levels of comprehension and understanding than presently exists. As textual information has increased in both quantity and complexity the demands for greater analytical capabilities have also grown dramatically. While basic documents still comprise a large portion of textual information, valuable content can now be extracted from a range of other sources including a variety of social media material (chat, email, blogs, etc), many open source materials and the metadata descriptors that relate back to additional media forms (video, imagery, speech, etc). The value of textual analysis going forward will now be gauged by the ability to work effectively in and across these and other components of a complex data environment while advancing the capabilities in exploiting traditional sources. Current network discovery and analysis science has focused on static relationship or event based networks of interest. This occurs primarily on one or two particular data sources. These capabilities are adept at enabling an analyst to effectively analyze network data within a single data source, but the analyst is then left to make mental correlations of observations and conclusions drawn from one data source to other data sources. Furthermore, current input methods do not account for semantic equivalences during the ingestion of the data, making the analyst's job even more difficult. One of the greatest technical challenges facing all decision support systems is the heterogeneous aspect of the data that is collected by millions of sensors and the different stovepipe architectures used to store this data. In order to perform useful analytics, a composite picture of the key entities, events, and locations need to be pieced together from the original disparate data sources. The ingesting and integrating of information from disparate data sources remains a difficult and unresolved problem. OBJECTIVES: The Information Directorate, Activity Based Analysis Branch, is soliciting white papers under this announcement for unique and innovative technologies to explore and develop Multi-Source Information Extraction and Network Analysis (MUSIENA) capabilities. The two projects under this MUSIENA program are (1) Global Threat Discovery and Identification (GTD-ID) and (2) Emerging Threat Analytics (ETA) with each containing the key focus areas for development. Submissions/White Papers should name the project or specify the focus area being addressed. Global Threat Discovery and Identification (GTD-ID) The GTD-ID project must deliver rapidly customizable, learning-based text extraction to provide deeper understanding of the information that can be pulled from multi-source unstructured text. The individual focus areas of this project are Domain Customization, Complex Event Extraction and Text Exploitation Platform for Multi-Source Analysis (MSA). These technologies are key enablers that will more widely deliver affordable, easy to use, accurate text exploitation technology to AF users and each may be the emphasis of a white paper submission under GTD-ID. Domain Customization As text exploitation tools gain acceptance in the DOD and Intelligence communities, they are exposed to a wider variety of domains of interest. Even within the Air Force, different user groups are interested in different types of documents, on different topics, with different entities, relations and events of interest. In order to achieve maximum results for each individual user, GTD-ID products must support customization for their specific use-case. This will enable ready transition and adoption of this technology through the development of effective user-driven domain customization allowing subject matter experts (SME) to tailor GTD-ID capabilities to their environment rather than require specialized technical expertise to perform this customization. An analyst should not be required to understand the underlying technology; they should be able to concentrate on what they do best, which is the task of analyzing data. This project will develop robust techniques allowing domain experts to quickly, affordably and effectively customize text extraction capabilities to work on their new text types and domains. While AFRL/RI has sponsored prior R&D in domain porting which has made progress towards this goal, there is still considerable work to be done to reach the higher level of domain customization performance that will leverage advanced learning techniques to provide a user-driven capability. Complex Event Extraction Complex event extraction means moving beyond individual events that do not provide a sufficient level of situational awareness and toward a broader and more comprehensive understanding of collective events and their importance. Achieving success in complex event extraction should include extracting/associating event arguments with events, extracting relations between events (e.g., before, prerequisite-of, causal); within-document event co-reference; cross-document event co-reference; and developing algorithms that are capable of understanding how events fit together in a logical way. To truly understand what is going on there must be this understanding of how the individual events fit together conceptually and into some higher-level logical structure (e.g., based on causality, temporal ordering, etc.). Research into event structures, event scenarios, event schemas, and event scripts would be of particular benefit in addressing this need. As the amount of event information to be assessed accumulates, there will be a need to measure the confidence level in the understanding of the larger event (scenario) in total. The overall intent of this research thrust is to provide the technological foundation to enable more powerful event-centric analysis (from information from text). Text Exploitation Platform for Multi-Source Analysis (TE Platform for MSA) The TE Platform for MSA will achieve a comprehensive, robust, flexible, scalable, web-based text exploitation framework for multi-source text analysis. The framework will support "end-to-end" functionality, including (but not limited to) data preparation and ingestion, including document zoning to enable separate processing of structured (header, footer, tables, lists, etc.) and unstructured portions of text;, textual data analysis and visualization; multi-source analysis; search/filtering of document collections; Information Extraction (IE) and content management. Additionally there are key design requirements which include scalability, flexibility and robustness that will promote application for new/different use-cases along with adaptability and vendor-independence which will promote openness of the solution. Adhering to best practices and standards that help the framework attain these design requirements is encouraged, such as the Apache Unstructured Information Management Architecture (UIMA). The end result will be a strong and viable technology platform for rapidly transitioning new/maturing text exploitation capabilities to our users in support of Multi-Source Analysis. Emerging Threat Analytics (ETA) ETA will address key challenges in multi-source fusion and social media exploitation empowering the analyst with high performance, high accuracy and easily adaptable tools for threat assessment, explanation, and anticipation surrounding individuals of interest, groups and events. This project will support the design and implementation of state-of-the-art technologies to achieve data alignment for large-scale, disparate data sources and create analytical models for estimating "tactical" phenomena in society at large based on phenomena that occur in social media. The individual focus areas of this project are Multi-Source Data Fusion and Social Media Analytics. Multi-Source Data Fusion The objective of ETA is to employ a flexible and adaptive framework through which layered multi-modal network analysis (LMMNA) can be achieved, to provide the analyst the ability to understand and interrogate the inter and intra source relationships that have and continue to evolve spatially and temporally within and across the spectrum of intelligence data. The framework will incorporate technologies that amalgamate and align disparate data layers (sources and domains); apply entity resolutions to associate and cluster like-entities within and across layers to derive a single graph; and provide access to batch and real-time graph analytic algorithms and heuristics to derive and maintain graph measures, graph matching and graph querying, leveraged to identify valuable semantic and structural elements, and discover new patterns of interest. Simply put, the framework will ultimately facilitate the alignment, association, and analysis of disparate layers of intelligence data to yield a cohesive and comprehensive picture of the evolving cross layer situational awareness. Adhering to best practices and standards that help the framework attain these design requirements is encouraged, such as the Apache TinkerPop Open Source Graph Computing Framework. When analyzing multi-source information, several issues can arise that inhibit the ability to produce an effectual analysis. Errors in the processing pipeline, data entry, and reporting as well as redundant information and deliberate attempts at misinformation will persist throughout the data. Identifying these knowledge conflicts is an important yet unresolved task. Current methods rely on linguistic cues with little regard to semantics. These constructs measure various features of the text, including parts of speech, tense, and voice. However, it turns out that these measures and constructs are not significant predictors of deceptive behavior and explain only a fraction of the variance. This necessitates a new approach that not only understands the syntactic features of text, but also the semantic features. Social Media Analytics Gathering intelligence on social media communications is an extremely difficult task. Identifying mission relevant information from billions of posts generated by millions of users is currently a labor-intensive and subjective process. Central concerns in the analysis of social media data are in the vast amount of data that is constantly being produced and the actual analytics that need to be performed. ETA must develop an improved method for noise reduction and analysis in order to extensively and effectively search the massive social media datasets. While noise reduction can be used to refine the search space, analysts will still be confronted with content that requires an automated capability that will be able to readily investigate individuals, uncover relationships, and follow connections to reveal networks of people and organizations. Analysts need to understand who the protagonists are, what they have done, and what they are planning. Automated analysis methods are needed that will help analysts rapidly decipher unfolding events and even attempt to predict future events. Where current social media analytics have been focused on analyzing the explicit relationships additional research under ETA is needed to uncover the implicit relationships within social media that are not directly evident. II. AWARD INFORMATION: 1. FUNDING: Total funding for this BAA is approximately $9.9M. The anticipated funding to be obligated under this BAA is broken out by fiscal year as follows: FY16 - $3.3M FY17 - $3.3M FY18 - $3.3M Individual awards will not normally exceed 36 months with dollar amounts normally ranging between $100K to $900K per year. There is also the potential to make awards up to any dollar value. The Government reserves the right to select all, part, or none of the proposals received, subject to the availability of funds. All potential Offerors should be aware that due to unanticipated budget fluctuations, funding in any or all areas may change with little or no notice. 2. FORM. Awards of efforts as a result of this announcement will be in the form of contracts, grants, cooperative agreements or other transactions that would depend upon the nature of the work proposed. 3. BAA TYPE: This is a two-step open broad agency announcement. This announcement constitutes the only solicitation. As STEP ONE - The Government is only soliciting white papers at this time. DO NOT SUBMIT A FORMAL PROPOSAL. Those white papers found to be consistent with the intent of this BAA may be invited to submit a technical and cost proposal, see Section VI of this announcement for further details regarding the proposal. III. ELIGIBILITY INFORMATION: All qualified offerors who meet the requirements of this BAA may apply. This BAA is closed to foreign participation at the Prime Contractor level. Foreign Ownership, Control or Influence (FOCI) companies who have mitigated FOCI may inquire as to eligibility by contacting the contracting office focal point, Gail E. Marsh, Contracting Officer, telephone (315) 330-7518 or e-mail Gail.Marsh@us.af.mil for verification prior to submitting a white paper. Please reference BAA AFRL-RIK-2015-0019. IV. APPLICATION AND SUBMISSION INFORMATION: All responses to this announcement must be addressed to the Technical point of contact (POC) listed in SECTION VII. DO NOT send white papers to the Contracting Officer. 1. SUBMISSION DATES AND TIMES: It is recommended that white papers be received by the following dates to maximize the possibility of award: FY16 by 18 Sep 2015 FY17 by 4 Mar 2016 FY18 by 3 Mar 2017 White papers will be accepted until 2 PM Eastern Time on 28 Sep 2018, but it is less likely that funding will be available in each respective fiscal year after the dates cited. This BAA will close on 2pm Eastern Time on 28 Sep 2018. All offerors submitting white papers will be contacted by the technical POC, referenced in Section VII of this announcement. Offerors can email the technical POC for status of their white paper/proposal no earlier than 45 days after submission. 2. CONTENT AND FORMAT: Offerors are required to submit three (3) copies of a 3 to 7 page white paper summarizing their proposed approach/solution. The purpose of the white paper is to preclude unwarranted effort on the part of an offeror whose proposed work is not of interest to the Government. The white paper will be formatted as follows: a. Section A : Title, Period of Performance, Estimated Cost, Name/Address of Company, Technical and Contracting Points of Contact (phone, fax and email)(this section is NOT included in the page count); b. Section B : Task Objective; and c. Section C : Technical Summary and Proposed Deliverables. All white papers shall be double spaced with a font no smaller than 12 point. In addition, respondents are requested to provide their Commercial and Government Entity (CAGE) number, their Dun & Bradstreet (D&B) Data Universal Numbering System (DUNS) number, a fax number, an e-mail address, and reference BAA-AFRL-RIK-2015-0019 with their submission. Multiple white papers within the purview of this announcement may be submitted by each offeror. If the offeror wishes to restrict its white papers, they must be marked with the restrictive language stated in FAR 15.609(a) and (b). All responses to this announcement must be addressed to the technical POC, as discussed in Section VII. The offeror must identify which project and/or focus area their white paper addresses upfront. 3. HANDLING AND MAILING INSTRUCTIONS: a. CLASSIFICATION GUIDANCE. All Proposers should review the NATIONAL INDUSTRIAL SECURITY PROGRAM OPERATING MANUAL, (NISPOM), dated February 2006 Incorporating Change dated 1 March 28, 2013, as it provides baseline standards for the protection of classified information and prescribes the requirements concerning Contractor Developed Information under paragraph 4-105. Defense Security Service (DSS) Site for the NISPOM is: http://www.dss.mil/. In the event of a possible or actual compromise of classified information in the submission of your white paper or proposal, immediately but no later than 24 hours, bring this to the attention of your cognizant security authority and AFRL Rome Research Site Information Protection Office (IPO): Vincent Guza 315-330-4048 0730-1630 Monday-Friday 315-330-2961 Evenings and Weekends Email: vincent.guza@us.af.mil b. CLASSIFIED SUBMISSIONS. AFRL/RIEA will accept classified responses to this BAA when the classification is mandated by classification guidance provided by an Original Classification Authority of the U.S. Government, or when the offeror believes the work, if successful, would merit classification. Security classification guidance in the form of a DD Form 254 (DoD Contract Security Classification Specification) will not be provided at this time since AFRL is soliciting ideas only. Offerors that intend to include classified information or data in their white paper submission or who are unsure about the appropriate classification of their white papers should contact the technical point of contact listed in Section VII for guidance and direction in advance of preparation. c. MAILING INSTRUCTIONS. All mailed responses, unclassified/classified, to this announcement must be sent U.S. Postal Service, registered mail and addressed to AFRL/RIEA, 525 Brooks Road, Rome NY 13441-4505, and reference BAA-AFRL-RIK-2015-0019. When mailing follow the directions regarding the number of copies required. Electronic submission is NOT authorized. Questions can be directed to the technical POC listed in Section VII. 4. OTHER SUBMISSION REQUIREMENTS/CONSIDERATIONS: a. COST SHARING OR MATCHING: Cost sharing is not a requirement. b. SYSTEM FOR AWARD MANAGEMENT (SAM). Offerors must be registered in the SAM database to receive a contract award, and remain registered during performance and through final payment of any contract or agreement. Processing time for registration in SAM, which normally takes forty-eight hours, should be taken into consideration when registering. Offerors who are not already registered should consider applying for registration before submitting a proposal. The provision at FAR 52.204-7, System for Award Management (Jul 2013) applies. c. EXECUTIVE COMPENSATION AND FIRST-TIER SUBCONTRACT/ SUBRECIPIENT AWARDS: Any contract award resulting from this announcement may contain the clause at FAR 52.204-10 - Reporting Executive Compensation and First-Tier Subcontract Awards. Any grant or agreement award resulting from this announcement may contain the award term set forth in 2 CFR, Appendix A to Part 25 which can be viewed at: http://ecfr.gpoaccess.gov/cgi/t/text/text-idx?c=ecfr&sid=c55a4687d6faa13b137a26d0eb436edb&rgn=div5&view= text&node=2:1.1.1.41&idno=2#2:1.1.1.4.1.2.1.1 d. ALLOWABLE CHARGES: The cost of preparing white papers/proposals in response to this announcement is not considered an allowable direct charge to any resulting contract or any other contract, but may be an allowable expense to the normal bid and proposal indirect cost specified in FAR 31.205-18. Incurring pre-award costs for ASSISTANCE INSTRUMENTS ONLY are regulated by the DoD Grant and Agreements Regulations (DODGARS). e. GOVERNMENT APPROVED ACCOUNTING SYSTEM: An offeror must have a government approved accounting system prior to award of a cost-reimbursement contract per limitations set forth in FAR 16.301-3(a) to ensure the system is adequate for determining costs applicable to the contract. The acceptability of an accounting system is determined based upon an audit performed by the Defense Contract Audit Agency (DCAA). IMPORTANT : If you do not have a DCAA approved accounting system access the following link for instructions: https://www.fbo.gov/index?s=opportunity&mode=form&id=1cffad228f48b58057072a6c9113799d &tab=core&_cview=1 V. APPLICATION REVIEW INFORMATION: 1. CRITERIA: The following criteria, which are listed in descending order of importance and will be used to determine whether white papers and proposals submitted are consistent with the intent of this BAA and of interest to the Government: a. Overall Scientific and Technical Merit -- The soundness of approach for the development and/or enhancement of the proposed technology, b. Related Experience - The extent to which the offeror demonstrates relevant technology and domain knowledge, c. Openness, Maturity and Assurance of Solution - The extent to which existing capabilities and standards are leveraged and the relative maturity of the proposed technology, and d. Reasonableness and realism of proposed costs and fees (if any). No further evaluation criteria will be used in selecting white papers/proposals. White papers and proposals submitted will be evaluated as they are received. 2. REVIEW AND SELECTION PROCESS: Only Government employees will evaluate the white papers/proposals for selection. The Air Force Research Laboratory's Information Directorate has contracted for various business and staff support services, some of which require contractors to obtain administrative access to proprietary information submitted by other contractors. Administrative access is defined as "handling or having physical control over information for the sole purpose of accomplishing the administrative functions specified in the administrative support contract, which do not require the review, reading, and comprehension of the content of the information on the part of non-technical professionals assigned to accomplish the specified administrative tasks." These contractors have signed general non-disclosure agreements and organizational conflict of interest statements. The required administrative access will be granted to non-technical professionals. Examples of the administrative tasks performed include: a. Assembling and organizing information for R&D case files; b. Accessing library files for use by government personnel; and c. Handling and administration of proposals, contracts, contract funding and queries. Any objection to administrative access must be in writing to the Contracting Officer and shall include a detailed statement of the basis for the objection. 3. ADEQUATE PRICE COMPETITION: The Government may simultaneously evaluate proposals received under this BAA with a common cutoff date for multiple offerors. In this case, the Government may make award based on adequate price competition, and offerors must be aware that there is a possibility of non-selection due to a proposal of similar but higher-priced technical approach as compared to another offeror. 4. FEDERAL AWARDEE PERFORMANCE AND INTEGRITY INFORMATION SYSTEM (FAPIIS) PUBLIC ACCESS: The Government is required to review and consider any information about the applicant that is in the FAPIIS before making any award in excess of the simplified acquisition threshold (currently $150,000) over the period of performance. An applicant may review and comment on any information about itself that a federal awarding agency previously entered. The Government will consider any comments by the applicant, in addition to other information in FAPIIS in making a judgment about the applicant's integrity, business ethics, and record of performance under federal awards when completing the review of risk posed by applicants as described in 2 CFR § 200.205 Federal Awarding Agency Review of Risk Posed by Applicants and per FAR 9.104-6 FAPIIS. VI. STEP TWO INFORMATION - REQUEST FOR PROPOSAL & AWARD: 1. AWARD NOTICES: Those white papers found to be consistent with the intent of this BAA may be invited to submit a technical and cost proposal. Notification by email or letter will be sent by the technical POC. Such invitation does not assure that the submitting organization will be awarded a contract. Those white papers not selected to submit a proposal will be notified in the same manner. Prospective offerors are advised that only Contracting Officers are legally authorized to commit the Government. For additional information, a copy of the AFRL "Broad Agency Announcement (BAA): Guide for Industry," Mar 2015, and Proposal Preparation Instructions, Dec 2014, may be accessed at: https://www.fbo.gov/index?s=opportunity&mode=form&id=1cffad228f48b58057072a6c9113799d &tab=core&_cview=1 2. ADMINISTRATIVE AND NATIONAL POLICY REQUIREMENTS: Depending on the work to be performed, the offeror may require a Top Secret facility clearance and safeguarding capability; therefore, personnel identified for assignment to a classified effort must be cleared for access to Top Secret information at the time of award. In addition, the offeror may be required to have, or have access to, a certified and Government-approved facility to support work under this BAA. This acquisition may involve data that is subject to export control laws and regulations. Only contractors who are registered and certified with the Defense Logistics Information Service (DLIS) at http://www.dlis.dla.mil/jcp/ and have a legitimate business purpose may participate in this solicitation. For questions, contact DLIS on-line at http://www.dlis.dla.mil/jcp or at the DLA Logistics Information Service, 74 Washington Avenue North, Battle Creek, Michigan 49037-3084, and telephone number 1-800-352-3572. You must submit a copy of your approved DD Form 2345, Militarily Critical Technical Data Agreement, with your white paper/proposal. 3. DATA RIGHTS: a. SBIR RIGHTS. The potential for inclusion of Small Business Innovation Research (SBIR) or data rights other than unlimited on awards is recognized. In accordance with (IAW) the Small Business Administration (SBA) SBIR Policy Directive, Section 8(b), SBIR data rights clauses are non-negotiable and must not be the subject of negotiations pertaining to an award, or diminished or removed during award administration. Issuance of an award will not be made conditional based on forfeit of data rights. If the SBIR awardee wishes to transfer its SBIR data rights to the Air Force or to a third party, it must do so in writing under a separate agreement. A decision by the awardee to relinquish, transfer, or modify in any way its SBIR data rights must be made without pressure or coercion by the agency or any other party. b. NON-SBIR RIGHTS. Non-SBIR data rights less than unlimited will be evaluated and negotiated on a case-by-case basis. Government Purpose Rights are anticipated for data developed with DoD-reimbursed Independent Research and Development (IR&D) funding. 4. REPORTING: a. Contract Applicable: Once a proposal has been selected for award, offerors will be given complete instructions on the submission process for the reports. b. FAPISS Applicable: As required by 2 CFR 200 Appendix XII of the Uniform Guidance and FAR 9.104-6, non-federal entities (NFEs) are required to disclose in FAPIIS any information about criminal, civil, and administrative proceedings, and/or affirm that there is no new information to provide. This applies to NFEs that receive federal awards (currently active grants, cooperative agreements, and procurement contracts) greater than $10,000,000 for any period of time during the period of performance of an award/project. 5. NOTICE: The following provisions* apply: (a) FAR 52.209-07, Information Regarding Responsibility Matters (b) FAR 52.209-11, Representation by Corporations Regarding Delinquent Tax Liability or a Felony Conviction under any Federal Law (c) DFARS 252.203-7996, Prohibition on Contracting with Entities that Requirement Certain Internal Confidentiality Agreements-Representation (d) DFARS 252.204-7008, Compliance with Safeguarding Covered Defense Information Controls (e) DFARS 252.239-7017, Notice of Supply Chain Risk * Please note that the current versions or deviations of the related clauses will be included in any resulting contract. 6. GRANT AWARDS ONLY: For efforts proposed as grant awards, offerors must provide an abstract in their proposal (not to exceed one page) that is publiclly releasable and that describes - in terms the public may understand - the project or program supported by the grant. The DoD will publically post the abstract to comply with Section 8123 of the Department of Defense Appropriations Act, 2015 (Pub. L. 113-235). VII. AGENCY CONTACTS: All white paper and proposal submissions and any questions of a technical nature shall be directed to the cognizant technical point of contact as specified below (unless otherwise specified in the technical area): TPOC: Edward DePalma Mailing Address: AFRL/RIEA, 525 Brooks Road, Rome NY 13441-4505 Telephone: (315)330-3069 Email: edward.depalma@us.af.mil Questions of a contractual/business nature shall be directed to the cognizant contracting officer, as specified below (email requests are preferred): Gail Marsh Telephone (315) 330-7518 Email: Gail.Marsh@us.af.mil Emails must reference the solicitation (BAA) number and title of the acquisition. In accordance with AFFARS 5301.91, an Ombudsman has been appointed to hear and facilitate the resolution of concerns from offerors, potential offerors, and others for this acquisition announcement. Before consulting with an ombudsman, interested parties must first address their concerns, issues, disagreements, and/or recommendations to the contracting officer for resolution. AFFARS Clause 5352.201-9101 Ombudsman (Jun 2016) will be incorporated into all contracts awarded under this BAA. The AFRL Ombudsman is as follows: Ms. Barbara Gehrs AFRL/PK 1864 4th Street Building 15, Room 225 Wright-Patterson AFB OH 45433-7130 FAX: (937) 656-7321; Comm: (937) 904-4407 Email: barbara.gehrs@us.af.mil All responsible organizations may submit a white paper which shall be considered.
 

Web Link

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Record

SN04279710-W 20160922/160920235134-5cda065a5aa2f1e1696f1d78a2f56eae (fbodaily.com)
 

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