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In the Air
In the Air is a visualisation project which aims to make visible the microscopic and invisible agents of Madrid´s air (gases, particles, pollen, diseases, etc.), to see how they perform, react and interact with the rest of the city.
Type of content:
Assets
Type of asset:
Use case
Big data potential
Yes
Policy domains:
Environment & Energy
Phase in the policy cycle:
Policy Design and Analysis
Open license availability
No
Website
Tags:
Smart City
Smart Government
Real time information
Addresses:
| SWOT Analysis for In the Air |
||
|---|---|---|
| Helpful | Harmful | |
Internal |
Strengths• Track of five of the key pollutants that most detrimentally effect health and quality of life: a) Sulfur dioxide (SO2) b) Carbon monoxide (CO) c) Nitrogen oxide (NO) d) Particulate PM10 e) Ozone (03) • Explore emergent patterns through two different media, one physical and one digital, in order to compare the communicative capacities of each. • Uses an interpolation function to fill the information gaps of pollutant levels in the Madrid atmosphere. This yields an approximate value for points that are close or not so close to the 15 sensors informing this prototype • Proposes a platform for individual and collective awareness and decision making, where the interpretation of results can be used for real time navigation through the city, opportunistic selection of locations according to their air conditions and a base for political action |
Weaknesses• Data obtained by the interpolation is approximate, • Did not include Pollen (which is also a significant pollutant) in the study • Poorly designed interface |
External |
Opportunities• Makes visible the microscopic and invisible agents of Madrid´s air (gases, particles, pollen, diseases, etc), to see how they perform, react and interact with the rest of the city. • The prototype could be integrated into the entire facade of a building. At this scale multiple pollutants could be monitored and displayed at the same time, allowing for more complexity in the visualization. • Construction of a collective map of personal environmental interests: An individual can "tune" their unit to select the pollutant they are interested in tracking |
Threats• Climate change • Data obtained by the interpolation is approximate, • Did not include Pollen (which is also a significant pollutant) in the study. • Poorly designed interface |
