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Juan Pablo Bello ( [e-mail]) is a professor of music technology and computer science and engineering at New York University, New York, USA, and director of the Center for Urban Science of Progress and of the Music and Audio Research Laboratory.

Claudio Silva ( [e-mail]) is a professor of computer science and engineering and data science at New York University, New York, USA.

Oded Nov ( [e-mail]) is an associate professor of technology management and innovation at New York University, New York, USA.

R. Luke DuBois ( [e-mail]) is co-director and an associate professor of integrated digital media at New York University, New York, USA.

Anish Arora ( [e-mail]) is a professor of computer science and engineering at The Ohio State University, Columbus, OH, USA.

Justin Salamon ( [e-mail]) is a senior research scientist at the Music and Audio Research Laboratory and the Center for Urban Science and Progress at New York University, New York, USA.

Charles Mydlarz ( [e-mail]) is a senior research scientist at the Music and Audio Research Laboratory and the Center for Urban Science and Progress at New York University, New York, USA.

Harish Doraiswamy ( [e-mail]) is a research assistant professor of computer science and engineering and a research scientist at the Center for Data Science at New York University, New York, USA.

Copyright held by authors.

ronment, they will be better equipped to voice their concerns when interacting with city authorities.

Conclusion

SONYC is a smart-cities, next-gener-ation application of a cyber-physical system. Its development calls for innovation in various fields of computing and engineering, including sensor networks, machine learning, human-computer interaction, citizen science, and data science. The technology will be able to support novel scholarly work on the effects of noise pollution on public health, public policy, environmental psychology, and economics. But the project is far from purely scholarly. By seeking to improve urban-noise mitigation, a critical quality-of-life issue, SONYC promises to benefit urban citizens worldwide. Our agenda calls for the system to be deployed, tested, and used in real-world urban conditions, potentially resulting in a model that can be scaled and replicated throughout the U.S. and beyond.

Acknowledgments

This work is supported in part by the National Science Foundation (Award # 1544753), NYU’s Center for Urban Science and Progress, NYU’s Tandon School of Engineering, and the Translational Data Analytics Institute at The Ohio State University.

 

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