Air Quality with Biomarkers

1 PROJECT

Url:http://crowdcrafting.org/app/airquality/
Start date: 2013/04/09
End date: Still open
Infrastructure: Crowdcrafting

2 TEAM

Official team page:http://daniellombrana.es/
Leader: Daniel Lombraña González
Institution: Citizen Cyberscience Centre
Partner institutions: Imperial College London

Main location: Spain

3 PROJECT DEFINITION

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3.1 Subject

Natural sciences > Air pollution (nature/conservation)

3.2 Description

Lichens are sensitive to air pollution, specially the air's acidity. Therefore, the presence or absence can be used to see how clean the air is. The goal of this application is to help to analyze, classify and measure the size of the lichens in order to study the quality of air in different areas of the cities.

3.3 Purpose.

This is a demo project that shows potential of the pyBossa platform.

3.4 Research question.

Can the correlation between Biomarkers(Lichens) and air composition produce a reliable map of air quality? Is pyBossa a good platform for crowdcrafting ?

4 ABOUT PARTICIPANT TASKS

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4.1 .

4.2 Interaction with system objects.

Participants look at a photo and decide whether or not a photo contains a lichen; and if it does, what kind of lichen it is, and how big it is using the scale of a euro coin.

Grey typology	Participation typology	Contribution type:
Computing: NO Thinking: YES Sensing: YES Gaming: NO	Crowdsourcing ☑ Distributed intelligence ☐ Participatory science ☐ Extreme citizen science ☐ Science outreach ☐	Data collection ☐ Data analysis ☐ Data interpretation ☑--------
Gaming
Genre: puzzle	Gaming elements: score boards
Interface
Data type to manipulate: pictures, other	interface enjoyment: cool/attractive Interface usability: easy to use	Member profiles::minimal Member profile elements: photo, pseudo, activity metrics

5 ABOUT GUIDANCE AND FEEDBACK

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Guidance	Feedback on
Tutorial and documentation: NO Training sequence: SOMEWHAT Peer to peer guidance: NO	individual performance: YES collective performance: YES research progress: YES

5.1 Feedback and guidance description.

Process is very simple so all the information users need is on the initial introduction page or in the question being asked. The questions are asked gradually and without redundancy (eg. if there is no lichen in the picture, you don't have to answer any other questions about that photo). Users can always see their progress bar for all tasks.

6 COMMUNITY

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Tools	News & Events
Communication: Social Network: N/A	Main news site: Frequency of project news updates: N/A Type of events: Frequency of events :
Community description
Community size (volounteers based): Role: Interaction form: Has official community manager(s): yes Has team work N/A

Other information about community:
Community led additions:

7 OTHER PROJECT INFORMATION

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Yes [[has completion level::Low]

http://daniellombrana.es/ Not explicitely listed Spain

Yes Air pollution Natural sciences nature/conservation This is a demo project that shows potential of the pyBossa platform. Can the correlation between Biomarkers(Lichens) and air composition produce a reliable map of air quality?

Is pyBossa a good platform for crowdcrafting ? International Air Quality with Biomarkers: Lichens

data interpretation

crowdsourcing pictures, other, other: selection zones Thinking: yes Computing: no Sensing: yes Gaming: no score boards puzzle Participants look at a photo and decide whether or not a photo contains a lichen; and if it does, what kind of lichen it is, and how big it is using the scale of a euro coin. cool/attractive easy to use no no strong yes yes yes Process is very simple so all the information users need is on the initial introduction page or in the question being asked. The questions are asked gradually and without redundancy (eg. if there is no lichen in the picture, you don't have to answer any other questions about that photo). Users can always see their progress bar for all tasks. minimal photo, pseudo, activity metrics yes

N/A

N/A

N/A

Low

BIBLIOGRAPHY