Air Quality with Biomarkers

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Cs Portal > List of citizen science projects > Air Quality with Biomarkers: Lichens - (2013/12/21)

THIS PAGE DESCRIBE A CITIZEN SCIENCE PROJECT

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IDENTIFICATION

Participant's homepage

* Infrastructure: Crowdcrafting
* Developed with: Pybossa

Start date : 2013/04/09

* Beta start date : N/A
* End date : Still open.

Subject

* Natural sciences > Air pollution (nature/conservation)

* Others in the same subject areas: Andromeda Project, Bat detective, Budburst, Celebrate Urban Birds... further results

* Others projects about nature/conservation: Bat detective, Celebrate Urban Birds, Evolution MegaLab, ExCiteS forest monitoring... further results

⇳ 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. ➠ Purpose This is a demo project that shows potential of the pyBossa platform. ? 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 ?

TEAM

MAIN TEAM LOCATION

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Spain

Project team page http://daniellombrana.es/ Leader: Daniel Lombraña González Institution: Citizen Cyberscience Centre Partner institutions: Imperial College London Contact: Not explicitely listed

USER TASKS

CONTRIBUTION TYPE: data interpretation
PARTICIPATION TYPOLOGY: crowdsourcing

GAMING GENRE Puzzle
GAMING ELEMENTS: Score boards

COMPUTING

THINKING

SENSING

GAMING

◉ Tasks description

⤯ Interaction with 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. ▣ Interface

* Data type to manipulate: pictures, other

* interface enjoyment: cool/attractive

* Interface usability: easy to use

GUIDANCE

GUIDANCE

* Tutorial: x
* Peer to peer guidance: x
* Training sequence: Somewhat

FEEDBACK ON

* Individual performance: ✓
* Collective performance: ✓
* Research progress: Somewhat

❂ 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.

COMMUNITY

COMMUNITY TOOLS

* Communication:

* Social Network: N/A
* Member profiles:: minimal
* Member profile elements: photo, pseudo, activity metrics

NEWS & EVENTS

* 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:
* Community led additions:

Other information

#### PROJECT[edit source]

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

#### TEAM[edit source]

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

Main location: Spain

## PROJECT DEFINITION[edit source]

* * *

### Subject[edit source]

Natural sciences > Air pollution (nature/conservation)

### Description[edit source]

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.

### Purpose.[edit source]

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

### Research question.[edit source]

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

## ABOUT PARTICIPANT TASKS[edit source]

* * *

### .[edit source]

### Interaction with system objects.[edit source]

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

## ABOUT GUIDANCE AND FEEDBACK[edit source]

* * *

Guidance | Feedback on

|

| Tutorial and documentation: | NO

|

Training sequence: | SOMEWHAT
Peer to peer guidance: | NO
| individual performance: | YES

|

collective performance: | YES
research progress: | YES

### Feedback and guidance description.[edit source]

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.

## COMMUNITY[edit source]

* * *

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:

## OTHER PROJECT INFORMATION[edit source]

* * *

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

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Low

Bibliography

BIBLIOGRAPHY