Mixing Highly Viscous Materials
This Challenge is looking for equipment and methods to mix materials of high viscosity over a large viscosity range. More details will be provided in the Detailed Description.
This is a Reduction-to-Practice Challenge in three phases that requires a written proposal (Phase I), a demonstration (Phase II) and a full working prototype (Phase III). Solvers winning a Phase will be expected to continue to the next Phase.
Rapid Runway Repair
The Air Force’s ability to rapidly repair airfield operating surfaces in an austere environment with a significantly reduced material and personnel footprint over current state-of-the-art is essential to support a resilient adaptive basing strategy. Potential solutions are expected to leverage readily available indigenous materials coupled with novel binder and capping materials. The proposed capability should also identify the method and equipment necessary for site-preparation and repair application. Proposals will be reviewed based on expected solution size & weight, personnel required, repair quality, repair reassessment, expected solution costs, & repair time, in priority order.
This Challenge requires only a written proposal.
Rapid Runway Inspection
We are looking for solutions for the challenging environmental conditions, auto-classification of damage/debris, time constraints and autonomy required for runway damage assessment. The Seeker wishes to receive proposals of technologies addressing the technical requirements described in the Challenge details section.
The Ohio Aerospace Institute (OAI) and its Engineered Surfaces, Materials and Coatings (ESMC) Team, under contract with the Air Force Research Laboratory (AFRL), is soliciting innovative cost effective ways to reduce drag on legacy Air Force aircraft. The Seeker is primarily searching for existing technologies or research studies, outside of the aircraft industry, that provide surface friction reduction in fluid mediums and have potential to be translated to the aircraft industry for skin friction reduction. Other sources of aircraft drag reduction are sought as well. Areas of particular interest include discovery of new materials or application processes to create engineered surfaces with drag effect of modifying streamwise airflow (e.g. riblets), or coatings to reduce skin friction drag. These surfaces must be able to survive the environmental extremes of normal transport aircraft flight regimes. These Engineered Surfaces, Materials and Coatings (ESMC) should nominally last for several years and be easily applied to an existing aircraft to accomplish a reasonable Return on Investment (ROI) for applying to legacy transport aircraft.
This Challenge requires only a written proposal.
Low-cost guided airdrop is key to ensuring the time critical resupply of troops and providing food and medical supplies for humanitarian efforts. The Seeker requires concepts describing novel technologies that are suitable to deliver bundles more precisely while considering affordability.
The Seeker is soliciting detailed, multi-disciplinary, innovative research and development plans that would advance today’s science and engineering in synthetic biology to a level where it is able to solve specific manufacturing challenges in metamaterials or optically active materials.
Do you have an idea for an annual competition that can bring artificial intelligence and cognitive modeling together? There is a rich history of interaction between these disciplines, but in recent years the tendency has been toward increasing fractionation and sub-specialization, with decreasing cross-fertilization and integration. The purpose of this Challenge is to stimulate a reversal of this trend by soliciting proposals focused on the creation of a recurring annual competition in computational cognitive systems that will motivate these diverse groups to bring their respective strengths together to create compelling new capabilities that are achievable only through multi-disciplinary, integrative cognitive science and technology.
This is an Ideation Challenge with a guaranteed award for at least one submitted solution.
Deliver a concept/design for a robust zero-GPS precision navigation capability for a local area.
INSTINCT: The IARPA Trustworthiness Challenge
INSTINCT: Investigating Novel Statistical Techniques to Identify Neurophysiological Correlates of Trustworthiness
Whom do you trust? Why do you trust them? How do you know whether to trust someone you’ve just met? The answers to these questions are essential in everyday interactions but particularly so in the Intelligence Community, where knowing whom to trust is often vital. The Intelligence Advanced Research Project Activity (IARPA) TRUST program seeks ways to detect one’s own neural, psychological, physiological, and behavioral signals that reflect a partner’s trustworthiness. The goal of this Challenge is to develop an algorithm that identifies and extracts such signals from data recorded while volunteers engaged in various types of trust activities. Cross-disciplinary teaming is encouraged in order to bring together expertise from diverse fields (such as neurophysiology and data analytics) to solve this complex problem.
This is a Reduction-to-Practice Challenge that requires written documentation and delivery of source code implementing an algorithm that solves the problem. This is also a Prodigy Challenge and a real-time online scoring utility and leaderboard will be available to track Solver algorithm performance.
There will be up to 3 awards: $25,000 for first place, $15,000 for second place, and $10,000 for third place. Awards will be based on Seeker’s determination of solution performance using a reserved independent validation set.
The Seeker is looking for high temperature polymer matrix composites (PMC) that can be used for Additive Direct Manufacturing (ADM). The goal is to produce PMC parts with minimal tooling and no autoclave step required, although a heat curing is acceptable.