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| {{Citizen science project | | {{Citizen science project |
| |field_project_name= Air Quality with Biomarkers: Lichens | | |field_project_name=Air Quality with Biomarkers: Lichens |
| |field_project_access_URL=http://crowdcrafting.org/app/airquality/ | | |field_project_access_URL=http://crowdcrafting.org/app/airquality/ |
| |field_infrastructure=PyBossa | | |field_infrastructure=Crowdcrafting |
| |field_project_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. Shrubby and leafy lichens only survive in clean air, and when an area is really polluted you will not find anyone. | | |field_software=Pybossa |
| | |field_project_start_date=2013/04/09 |
| | |field_project_open=Yes |
| | |field_subject_areas=Natural sciences |
| | |field_cs_subject_areas=nature/conservation |
| | |field_fields_of_science=Air pollution |
| | |field_project_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. | | 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. |
| |field_project_open=No | | |field_purpose_of_project=This is a demo project that shows potential of the pyBossa platform. |
| |field_cs_subject_areas=N/A | | |field_research_questions=Can the correlation between Biomarkers(Lichens) and air composition produce a reliable map of air quality? |
| |field_tutorials_documentation=N/A | | |
| |field_member_profiles=N/A | | Is pyBossa a good platform for crowdcrafting ? |
| |field_has_community_manager=No | | |field_location_of_activities=International |
| | |field_team_leadermm=Daniel Lombraña González |
| | |field_main_institution=Citizen Cyberscience Centre |
| | |field_partner_institutions=Imperial College London |
| | |field_team_link=http://daniellombrana.es/ |
| | |field_contact_person=Not explicitely listed |
| | |field_team_location=Spain |
| | |field_Haklay_typology=crowdsourcing |
| | |field_volonteer_computing=no |
| | |field_volonteer_thinking=yes |
| | |field_volonteer_sensing=yes |
| | |field_volonteer_gaming=no |
| | |field_data_types_to_manipulate=pictures, other |
| | |field_other_data_types_to_manipulate=selection zones |
| | |field_participant_contribution_type=data interpretation |
| | |field_gaming_elements=score boards |
| | |field_gaming_genre=puzzle |
| | |field_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. |
| | |field_interface_attractivity=cool/attractive |
| | |field_interface_usability=easy to use |
| | |field_tutorials_documentation=no |
| | |field_peer_to_peer_guidance=no |
| | |field_training_sequence=strong |
| | |field_individual_performance_feedback=yes |
| | |field_collective_performance_feedback=yes |
| | |field_research_progress_feedback=yes |
| | |field_feedback_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. |
| | |field_member_profiles=minimal |
| | |field_member_profile_elements=photo, pseudo, activity metrics |
| | |field_has_community_manager=yes |
| |field_project_news_updates=N/A | | |field_project_news_updates=N/A |
| |field_socialsoftware_sites=N/A | | |field_socialsoftware_sites=N/A |
| |field_team_work=N/A | | |field_team_work=N/A |
| | |field_completion_level=Low |
| | |field_last_edition=2013/12/21 |
| }} | | }} |
| | {{Free text}} |
Cs Portal > List of citizen science projects > Air Quality with Biomarkers: Lichens - (2013/12/21)
THIS PAGE DESCRIBE A CITIZEN SCIENCE PROJECT
Start date : 2013/04/09
- Beta start date : N/A
- End date : Still open.
⇳ 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 ?
MAIN TEAM LOCATION
Loading map...
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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
CONTRIBUTION TYPE: data interpretation
PARTICIPATION TYPOLOGY: crowdsourcing
GAMING GENRE Puzzle
GAMING ELEMENTS: Score boards
◉ 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
- 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 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
Url:http://crowdcrafting.org/app/airquality/
Start date: 2013/04/09
End date: Still open
Infrastructure: Crowdcrafting
TEAM
Official team page:http://daniellombrana.es/
Leader: Daniel Lombraña González
Institution: Citizen Cyberscience Centre
Partner institutions: Imperial College London
Main location: Spain
PROJECT DEFINITION
Subject
Natural sciences > Air pollution (nature/conservation)
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 ?
ABOUT PARTICIPANT TASKS
.
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 |
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 |
|
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.
| 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
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
