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City Scanner - Data Analysis
Priyanka DeSouza: firstname.lastname@example.org
The City Scanner project (http://senseable.mit.edu/cityscanner) is developing a platform which harnesses the power of fleets of low-cost, intelligent and autonomous vehicular sensors to drive use cases in the field of environmental monitoring, civic engagement and public health. Intelligence stemming from a fleet of sensor-equipped vehicles is aggregated to provide advanced analytics for both local governments and citizens; enabling decision-making and fostering public engagement on environmental issues. The project is piloting the platform in several cities around the globe, aiming at characterizing the unique environmental signatures of cities towards the design of novel data-driven use cases and engaging data visualizations. Over 2019 and 2020, we have deployed multiple monitors on vehicles in the mining town of Sparwood, Canada, and in the Bronx, in the city of New York. Our monitors currently record air pollution, temperature and humidity, although we have plans to include thermal cameras to our platform in the future. We seek to work with students who can help us analyse the mobile monitoring data that we have gathered to identify the spatial and temporal patterns of air pollution in each site to identify key sources to help suggest ways to mitigate pollution levels. (1) Identify which industrial activities are most responsible for pollution in different locations (2) Use the mobile monitoring data to identify sites for new fixed monitors (3) Study the zone of influence of different sources of air pollution in the study area (4) Use our data to work with public officials to identify measures cities can take to reduce air pollution
Knowledge of R (preferred) and/or Python.