Innovation ChallengeRegister as solver

How do we connect personal devices for testing and reporting of both air quality and linked physiological data? Such a system would enable not only high-resolution mapping of pollutant concentrations, but also support research and reporting of individual physiological responses related to the pollutant. 
The U.S. Environmental Protection Agency (EPA) and U.S. Department of Health and Human Service (HHS) [National Institute of Environmental Health Sciences (NIEHS) and Office of the National Coordinator for Health Information Technology (ONC)] envision a future in which powerful, affordable, and portable sensors provide a rich awareness of environmental quality, moment-to-moment physiological changes, and long-term health outcomes. Health care will be connected to the whole environment, improving diagnosis, treatment, and prevention at all levels. 
This challenge is open only to Solvers who are individuals, teams or businesses with their permanent residences or primary places of business in the United States. More details are included in the challenge description.
Phase 1 of  this Challenge requires only a written proposal.

Lumina Foundation, the Seeker for this Challenge, desires fully coded examples of a front-end user interface for deployment by community colleges.  The key requirement is that the interface should be organized and presented in a way that focuses on meeting the information needs of students, particularly those who are exploring a range of avenues of study. 
This is a Reduction-to-Practice Challenge that requires a written proposal as well as delivery of a functional code for a website.  In addition to the Challenge award, the Seeker is very interested in further collaboration with the awarded Solver(s).

Piezoelectric power transducers using bolted Langevin designs are well established for converting electrical energy into mechanical vibrations at a specified frequency.  This Challenge is to streamline an existing bolted Langevin transducer design or to submit an alternate design in order to minimize complexity and cost. 

This Challenge requires only a written proposal.

The Seeker desires a theoretical method to efficiently find rare errors in a database, without relying on manual case-by-case rules or context-sensitive parameters. 

This Challenge requires only a written proposal.

The Seeker and InnoCentive desire a new predictive, quantitative economic/financial model that underpins a decision-making framework that R&D-based companies can use to:

1. Optimize the distribution of its R&D budget between expenditures internally and the use of Open Innovation,
2. Decide on which specific R&D projects and/or project tasks are most suitable for Open Innovation, and
3. Assess the costs and benefits of projects using the optimum approach vs. a classical use of primarily internal resources.

The Seeker and InnoCentive will strongly consider further collaboration with winner(s) of this Challenge. 
This Challenge requires only a written proposal.
 

The seeker requires methods for rapid, non-destructive analysis of markers of curvature in thin wires of high-carbon steel. 

This Challenge requires only a written proposal.

This Challenge requests a theoretical design for a surgically implanted micro-sensor device that reports displacement and mechanical load on healing ligament/tendon tissues. 

This Challenge requires only a written proposal.

The Seeker desires an algorithm that can identify the size, shape, and depth of underground features when given noisy seismic data. 

This Challenge requires only a written proposal.

Predict the progression of disease in ALS patients based on the patient’s current disease status and clinical metadata. 
This Challenge requires a written proposal and source code for prediction algorithm.