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.
Source: InnoCentive Challenge ID: 9933776
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.
Source: InnoCentive Challenge ID: 9933057
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.
Source: InnoCentive Challenge ID: 9933056
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.
Source: InnoCentive Challenge ID: 9933465
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.
Source: InnoCentive Challenge ID: 9933054
Deliver a concept/design for a robust zero-GPS precision navigation capability for a local area.
Source: InnoCentive Challenge ID: 9933055
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.
Source: InnoCentive Challenge ID: 9933053
Humanitarian aid drops missions are performed in various locations, populated and unpopulated zones. The current system used, Tri-wall Aerial Delivery System (TRIADS), performs the needed mission, but presents the opportunity for unintended consequences with the residuals from TRIADS; of most concern is the support plate ( called a skid-board) that is used to restrain/support the boxes during transport. The Air Force is looking for an economical way to replace this skid-board so that when it exits the aircraft it will reduce the opportunity for harm of anyone that is located in the drop area. We are not interested in parachute attached to the board as this will add complexity and expense to this system.
Source: InnoCentive Challenge ID: 9932740
Design a system to detect the location of GPS jamming devices. Either hardware or software solutions (particularly those involving use of distributed smartphones) may be acceptable; scalability and robustness are key criteria. If a smartphone app is proposed, Solvers should explain why smartphone users would be motivated to use the proposed app. Technical requirements and description of prior hardware solutions are available in the full description.
Source: InnoCentive Challenge ID: 9932738
The Seeker is interested in material processing technologies for the production of core-shell nanoclusters of energetic materials. Emphasis will be on a controllable process that produces air stable, consistent particles at increased rates.
Source: InnoCentive Challenge ID: 9932739