In this paper, we summarize recent findings on the “Brooklyn Atlantis“ project supported by the National Science Foundation at New York University Polytechnic School of Engineering. Brooklyn Atlantis is a citizen science project, which has the twofold aim of aiding in the environmental monitoring of a heavily polluted water body in New York City and allowing for hypothesis-driven studies on social networking and human-machine interactions. Here, we specifically focus on the design and development of the environmental monitoring platform with citizen scientists' participation. The platform consists of a robotic vehicle capable of uploading water quality and image data to a remote server while maneuvering about a polluted body of water. Volunteers aid in environmental monitoring by performing image analysis tasks through a web-based interface. An administrator has the ability to vary the interface provided to the user and access various performance metrics. As a proof-of-concept validation of Brooklyn Atlantis, we report on field testing and community involvement since the project launch.