DoD awards Vanderbilt University $5.4M for neuro-symbolic AI research, focusing on advanced physical and engineering sciences

Contract Overview

Contract Amount: $5,422,990 ($5.4M)

Contractor: Vanderbilt University

Awarding Agency: Department of Defense

Start Date: 2023-06-01

End Date: 2027-08-01

Contract Duration: 1,522 days

Daily Burn Rate: $3.6K/day

Competition Type: FULL AND OPEN COMPETITION

Number of Offers Received: 46

Pricing Type: COST NO FEE

Sector: R&D

Official Description: ASSURED NEURO-SYMBOLIC COMPONENTS AND SYSTEMS (ANSCS)

Place of Performance

Location: NASHVILLE, DAVIDSON County, TENNESSEE, 37203

State: Tennessee Government Spending

Plain-Language Summary

Department of Defense obligated $5.4 million to VANDERBILT UNIVERSITY for work described as: ASSURED NEURO-SYMBOLIC COMPONENTS AND SYSTEMS (ANSCS) Key points: 1. Contract awarded via full and open competition, suggesting a competitive bidding process. 2. Research and Development focus aligns with strategic national security objectives. 3. Contract duration of over four years indicates a significant, long-term research commitment. 4. Vanderbilt University's selection suggests expertise in specialized scientific fields. 5. The 'Cost No Fee' contract type implies the government will reimburse allowable costs without an additional fee. 6. The contract is for R&D in physical, engineering, and life sciences, excluding nanotechnology and biotechnology.

Value Assessment

Rating: fair

The contract's 'Cost No Fee' structure means the government reimburses the contractor for allowable costs incurred. This type of contract is often used when the scope of work is uncertain or difficult to estimate precisely, as is common in R&D. Benchmarking value for 'Cost No Fee' contracts is challenging without detailed cost breakdowns and comparison to similar R&D efforts. However, the award amount of $5.4 million over approximately four years suggests a moderate investment for specialized research.

Cost Per Unit: N/A

Competition Analysis

Competition Level: full-and-open

This contract was awarded under 'full and open competition,' indicating that all responsible sources were permitted to submit a bid. The presence of 46 offers suggests a robust level of interest and competition for this research opportunity. A high number of bidders generally supports price discovery and can lead to more competitive pricing, although for R&D contracts, the focus is often on technical merit and innovation.

Taxpayer Impact: A competitive bidding process for R&D ensures that taxpayer funds are likely being allocated to the most capable and cost-effective research proposals, maximizing the potential return on investment for scientific advancement.

Public Impact

The primary beneficiaries are the Department of Defense and potentially the broader scientific community through advancements in neuro-symbolic AI. The research aims to develop advanced neuro-symbolic components and systems, pushing the boundaries of artificial intelligence. The geographic impact is primarily within Tennessee, where Vanderbilt University is located, but the research findings could have national implications. This contract supports highly skilled researchers and scientists, contributing to the specialized workforce in AI and related fields.

Waste & Efficiency Indicators

Waste Risk Score: 50 / 10

Warning Flags

The 'Cost No Fee' contract type can sometimes lead to cost overruns if not managed carefully, as there is less direct financial incentive for the contractor to control costs.
The specialized nature of the research may limit the pool of potential subcontractors, potentially impacting small business participation.
The long duration of the contract requires sustained oversight to ensure progress and adherence to research objectives.

Positive Signals

Awarding to a university like Vanderbilt suggests access to cutting-edge research capabilities and talent.
The high number of offers (46) indicates strong interest and a competitive environment, potentially leading to innovative solutions.
The focus on R&D aligns with the government's need to stay at the forefront of technological advancement.

Sector Analysis

This contract falls within the Research and Development sector, specifically focusing on advanced computing and artificial intelligence. The market for AI R&D is rapidly growing, with significant investment from both government and private sectors. Comparable spending benchmarks are difficult to establish due to the highly specialized nature of neuro-symbolic AI, but federal investment in AI R&D is substantial and increasing across various agencies.

Small Business Impact

The data indicates that small business participation was not a specific set-aside for this contract (ss: false, sb: false). Given the nature of advanced R&D, the primary contractor is a large research institution. Opportunities for small businesses would likely be through subcontracting, but the extent of this is not detailed in the provided data. The focus on specialized research may limit the direct applicability for many small businesses.

Oversight & Accountability

Oversight for this contract would typically be managed by the contracting officer and technical representatives within the Department of the Air Force. Accountability measures would be tied to research milestones and deliverables outlined in the contract. Transparency is generally maintained through contract award databases, though detailed research progress reports are often considered sensitive. Inspector General jurisdiction would apply in cases of fraud, waste, or abuse.

Related Government Programs

Department of Defense Research and Development Programs
Artificial Intelligence Research Initiatives
Advanced Computing Research
University Research Partnerships

Risk Flags

Cost Control Risk (Cost No Fee contract)
Scope Creep Risk (R&D nature)
Technical Feasibility Risk (Advanced AI)
Long-term Project Management

Frequently Asked Questions

What is this federal contract paying for?

Department of Defense awarded $5.4 million to VANDERBILT UNIVERSITY. ASSURED NEURO-SYMBOLIC COMPONENTS AND SYSTEMS (ANSCS)

Who is the contractor on this award?

The obligated recipient is VANDERBILT UNIVERSITY.

Which agency awarded this contract?

Awarding agency: Department of Defense (Department of the Air Force).

What is the total obligated amount?

The obligated amount is $5.4 million.

What is the period of performance?

Start: 2023-06-01. End: 2027-08-01.

What is Vanderbilt University's track record with federal R&D contracts, particularly in AI?

Vanderbilt University has a history of securing federal research grants and contracts, including those from the Department of Defense and other agencies. While specific AI contract details are not provided here, universities of Vanderbilt's caliber typically engage in numerous R&D projects. Their track record often involves successful completion of research objectives, publication of findings, and development of intellectual property. A deeper dive into federal contract databases would reveal the extent and nature of their prior work in AI and related fields, including award amounts, agencies involved, and performance history.

How does the $5.4 million award compare to similar federal R&D contracts in AI?

The $5.4 million award for this four-year neuro-symbolic AI research project is a moderate-sized contract within the broader federal R&D landscape. Large-scale AI initiatives, particularly those involving system development or large-scale deployment, can range from tens to hundreds of millions of dollars. However, foundational research contracts, especially those focused on specific theoretical or component development, often fall within this range. The 'Cost No Fee' structure means the final expenditure depends on actual allowable costs incurred. Comparing it requires identifying contracts with similar scope, duration, and research focus, which can be challenging due to the specialized nature of neuro-symbolic AI.

What are the primary risks associated with this type of 'Cost No Fee' R&D contract?

The primary risks with 'Cost No Fee' (Cost) contracts, especially in R&D, revolve around cost control and scope creep. Since the contractor is reimbursed for allowable costs without an additional fee, there's less direct financial incentive to minimize expenses. This can lead to cost overruns if not meticulously managed. For R&D, the inherent uncertainty in research outcomes poses a risk of scope creep, where the project expands beyond its original objectives. Effective government oversight, clear milestone definitions, and robust cost monitoring are crucial to mitigate these risks and ensure the project stays within budget and on track.

How will the success of this neuro-symbolic AI research be measured?

The success of this neuro-symbolic AI research will likely be measured against specific technical milestones and deliverables outlined in the contract. These could include the successful development and testing of specific AI components or systems, demonstration of enhanced capabilities (e.g., improved reasoning, learning, or problem-solving), and the generation of research publications or patents. Performance metrics might also involve the efficiency, accuracy, or robustness of the developed AI models. The Department of the Air Force's technical monitors will assess progress against these predefined objectives throughout the contract's duration.

What is the historical spending trend for R&D contracts in AI by the Department of the Air Force?

The Department of the Air Force, like other branches of the DoD, has shown a consistent and increasing trend in spending on Artificial Intelligence (AI) R&D over the past decade. This reflects the strategic importance placed on AI for modern warfare, intelligence, and operational efficiency. Spending spans various AI subfields, including machine learning, computer vision, natural language processing, and increasingly, more complex areas like neuro-symbolic AI. While specific figures fluctuate annually based on program priorities and budget allocations, the overall trajectory indicates a significant and growing investment in AI R&D to maintain technological superiority.

Industry Classification

NAICS: Professional, Scientific, and Technical Services › Scientific Research and Development Services › Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)

Product/Service Code: RESEARCH AND DEVELOPMENT › C – National Defense R&D Services

Competition & Pricing

Extent Competed: FULL AND OPEN COMPETITION

Solicitation Procedures: BASIC RESEARCH

Solicitation ID: HR001122S0039

Offers Received: 46

Pricing Type: COST NO FEE (S)

Evaluated Preference: NONE

Contractor Details

Parent Company: THE Vanderbilt University

Address: 110 21ST AVE S, NASHVILLE, TN, 37203

Business Categories: Category Business, Corporate Entity Tax Exempt, Educational Institution, Higher Education, Nonprofit Organization, Not Designated a Small Business, Higher Education (Private), Special Designations, U.S.-Owned Business

Financial Breakdown

Contract Ceiling: $5,672,990

Exercised Options: $5,672,990

Current Obligation: $5,422,990

Subaward Activity

Number of Subawards: 10

Total Subaward Amount: $471,579

Contract Characteristics

Commercial Item: COMMERCIAL PRODUCTS/SERVICES PROCEDURES NOT USED

Cost or Pricing Data: NO

Timeline