This paper proposes development of a low-cost water monitoring system wirelesslynetworked to upload data to FieldKit for cloud based data visualization and validation. This will enable citizen scientists to collect a variety of parameters including conductivity, temperature, depth, and ocean noise measurements on an adhoc basis while contributing to a large data repository which will allow for deep analysis of data over a larger area than would be otherwise possible. There does not currently exist an online platform for exchange of scientific data between citizen scientists and professional researchers. The implementation of FieldKit combined with the water monitoring system with both industry, government, and public support will lower the barrier to entry and enable the implementation of data driven tools for local decision making.SUMMARY OF
Anticipated Results: A water monitoring system with wireless connectivity will be produced as well as an application that will allow for data visualization and sharing via an open on-line platform that is being