Published May 30, 2022
| Version v1
Dataset
Open
Smell Pittsburgh: Engaging Community Citizen Science for Air Quality
Description
Link to the files and description of the Smell Pittsburgh Dataset –
https://github.com/CMU-CREATE-Lab/smell-pittsburgh-prediction/tree/master/dataset/v2
Smell Pittsburgh (https://smellpgh.org) is a mobile application for crowdsourcing reports of bad odors, such as those generated from air pollution. The data is used to train a machine learning model to predict the presence of bad smell and create push notifications to inform citizens about the bad smell. The motivation, background, and design of the Smell Pittsburgh application is described in the following paper.
- Yen-Chia Hsu, Jennifer Cross, Paul Dille, Michael Tasota, Beatrice Dias, Randy Sargent, Ting-Hao (Kenneth) Huang, and Illah Nourbakhsh. 2020. Smell Pittsburgh: Engaging Community Citizen Science for Air Quality. ACM Transactions on Interactive Intelligent Systems. 10, 4, Article 32. DOI:https://doi.org/10.1145/3369397. Preprint:https://arxiv.org/pdf/1912.11936.pdf.
Files
README.txt
Files
(943 Bytes)
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