Air Quality with Biomarkers

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

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IDENTIFICATION

Participant's homepage
Start date : 2013/04/09
  • Beta start date : N/A
  • End date : Still open.
Subject

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

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


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


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


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


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




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

BIBLIOGRAPHY
Developed withPybossa +
Has Haklay typology levelcrowdsourcing +
Has addressSpain +
Has citizen science subject areanature/conservation +
Has collective performance feedbackyes +
Has community manageryes +
Has completion levelLow +
Has contact personNot explicitely listed +
Has data types to manipulatepictures + and other +
Has description of feedback and guidanceProcess is very simple so all the informat
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.
ways see their progress bar for all tasks. +
Has field of scienceAir pollution +
Has gaming elementsscore boards +
Has individual performance feedbackyes +
Has infrastructureCrowdcrafting +
Has interaction with objectsParticipants 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. +
Has interface attractivitycool/attractive +
Has interface usabilityeasy to use +
Has location of activitiesInternational +
Has main institutionCitizen Cyberscience Centre +
Has member profile elementsphoto +, pseudo + and activity metrics +
Has member profilesminimal +
Has other data types to manipulateselection zones +
Has participant contribution typedata interpretation +
Has partner institutionsImperial College London +
Has peer to peer guidanceno +
Has project access URLhttp://crowdcrafting.org/app/airquality/ +
Has project descriptionLichens are sensitive to air pollution, sp
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.
y of air in different areas of the cities. +
Has project nameAir Quality with Biomarkers: Lichens +
Has project news updatesN/A +
Has project purposeThis is a demo project that shows potential of the pyBossa platform. +
Has project start dateApril 9, 2013 +
Has research progress feedbackyes +
Has research questionCan the correlation between Biomarkers(Lichens) and air composition produce a reliable map of air quality? Is pyBossa a good platform for crowdcrafting ? +
Has social software sitesN/A +
Has subject areaNatural sciences +
Has team leaderDaniel Lombraña González +
Has team linkhttp://daniellombrana.es/ +
Has team workN/A +
Has training sequencestrong +
Has tutorials and documentationno +
Has volonteer computingno +
Has volonteer gamingno +
Has volonteer sensingyes +
Has volonteer thinkingyes +
Is gaming genrepuzzle +
Is opentrue +
Last editionDecember 21, 2013 +