Abstract: Systems and methods for crowdsourced noise monitoring are provided. An example for crowdsourced noise monitoring includes a noise monitoring system receiving and storing audio files and context data associated with a noise event in a database. A log of the audio files and context data can be created. Noise complaints can also be received from users by the noise monitoring system. Additional logs of the noise complaints can then be created. The log of the noise event and the additional logs of the noise complaints are analyzed to determine whether the noise complaints are related to the noise event. If the noise complaints are related to the noise event, the log and additional logs can automatically be forwarded to an authorized user.

Abstract: Systems and methods for crowdsourced noise monitoring are provided. An example for crowdsourced noise monitoring includes a noise monitoring system receiving and storing audio files and context data associated with a noise event in a database. A log of the audio files and context data can be created. Noise complaints can also be received from users by the noise monitoring system. Additional logs of the noise complaints can then be created. The log of the noise event and the additional logs of the noise complaints are analyzed to determine whether the noise complaints are related to the noise event. If the noise complaints are related to the noise event, the log and additional logs can automatically be forwarded to an authorized user.

Abstract: Systems and methods for crowdsourced noise monitoring are provided. An example for crowdsourced noise monitoring includes a noise monitoring system receiving and storing audio files and context data associated with a noise event in a database. A log of the audio files and context data can be created. Noise complaints can also be received from users by the noise monitoring system. Additional logs of the noise complaints can then be created. The log of the noise event and the additional logs of the noise complaints are analyzed to determine whether the noise complaints are related to the noise event. If the noise complaints are related to the noise event, the log and additional logs can automatically be forwarded to an authorized user.

Abstract: Systems and methods for crowdsourced noise monitoring are provided. An example for crowdsourced noise monitoring includes a noise monitoring system receiving and storing audio files and context data associated with a noise event in a database. A log of the audio files and context data can be created. Noise complaints can also be received from users by the noise monitoring system. Additional logs of the noise complaints can then be created. The log of the noise event and the additional logs of the noise complaints are analyzed to determine whether the noise complaints are related to the noise event. If the noise complaints are related to the noise event, the log and additional logs can automatically be forwarded to an authorized user.

Abstract: Systems and methods for determining a payment to a contributor are provided herein. Methods may include determining the contributor of a portion of software in a collaborative work; tracking the number of times the portion of software is used in a collaborative work; determining a weighting for each contributed portion of software; and calculating the proportional payment to each contributor based on the weighing and an income from the collaborative work.