Urban sensing: out of the woods
By D. Cuff, Mark H. Hansen, Jerry Kang. CACM, 2008
340 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Computer Science Applications
View Paper: https://www.semanticscholar.org/paper/f4aef71306b9e07a9ca4c64599e64079e53e6c73
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In Computer Networks and Communications
In Computer Science Applications
Citations in the corpus
- Crowdsourcing for climate and atmospheric sciences: current status and future potential (2015, neutral): “Cuff et al. (2008) previously noted issues related to ‘observer effect’ and bad data processing, highlighting the need for verification when utilising public sensor data.”
- NoiseTube: Measuring and mapping noise pollution with mobile phones (2009, background): “Recent years have seen an increasing interest in wireless sensor networks (WSN) for environmental monitoring [23] and urban sensing [8].”
- The rise of low-cost sensing for managing air pollution in cities. (2015, background): “employing a large number of sensors in a small space) is attracting attention from the air quality management community (Burke et al., 2006; Cuff et al., 2008), particularly given the high availability, low cost andminiaturisation of sensors, which allows them encompass a wider area of the urban env”
- Extracting Diurnal Patterns of Real World Activity from Social Media (2013, background): “Cuff et al. defined Urban Sensing as the analysis of data “generated through decentralized collection, shared freely and amenable to distributed sense-making not only for the pursuit of science but also advocacy, art, play, and politics” (Cuff, Hansen, and Kang 2008).”
- The future of citizen science: emerging technologies and shifting paradigms (2012, background): “org more precisely the spatial extent of environmental contamination (Cuff et al. 2008).”
- Volunteered Geographic Information: the nature and motivation of produsers (2009, background): “Cuff et al. (2008) coin the term "urban sensing" to describe this.”