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Citizen Science and Living Labs:Same Same but Different?Sven Schade (twitter: @innovatearth)
Institute for Environment and SustainabilityDigital Earth and Reference Data Unit
www.jrc.ec.europa.eu
Serving society
Stimulating innovation
Supporting legislation
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Organisational Background
Serving society
Stimulating innovation
Supporting legislation
www.jrc.ec.europa.eu
[Dusan P
etr
icic
]
2
Our interest in public engagement
Investigating new forms of:
• Doing science (incl. Citizen Science)
• Making policies (incl. E-Democracy)
• Providing scientific support to policy-making
3
[openclipart
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Aim of this talk
• Introducing Citizen Science
• Sketching central characteristics and challenges
• Identifying contact points with Living Lab research
• Initiating discussions across-communities
4
Content of thefollowing slides
[openclipart
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Citizen Science
[slide by Rick Bonney – The Cornell Lab]
5
Members of the public [intentionally]engaging in authentic scientific investigations: asking questions, collecting or processing data, and/or interpreting results.
• Engaging in the scientific process
• Gaining Knowledge about scientific concepts
• Developing Skills of scientific inquiry
• Changing Attitudes about science and the environment
• Changing Behaviors regarding science and the environment
[slide by Rick Bonney]
6
What impact of Science to Citizen?
Scientist/TechnicianPublic
Participants
Define a question/issue
Gather information
Develop explanations
Design data collection methods
Collect samples
Analyze samples
Analyze data
Interpret data/conclude
Disseminate conclusions
Discuss results/inquire further[slide by Rick Bonney]
7
And what impact of Citizen to Science?
Scientist/TechnicianPublic
Participants
Define a question/issue
Gather information
Develop explanations
Design data collection methods
Collect samples
Analyze samples
Analyze data
Interpret data/conclude
Disseminate conclusions
Discuss results/inquire further[slide by Rick Bonney]
7
And what impact of Citizen to Science?
Scientist/TechnicianPublic
Participants
Define a question/issue
Gather information
Develop explanations
Design data collection methods
Collect samples
Analyze samples
Analyze data
Interpret data/conclude
Disseminate conclusions
Discuss results/inquire further[slide by Rick Bonney]
7
And what impact of Citizen to Science?
Scientist/TechnicianPublic
Participants
Define a question/issue
Gather information
Develop explanations
Design data collection methods
Collect samples
Analyze samples
Analyze data
Interpret data/conclude
Disseminate conclusions
Discuss results/inquire further[slide by Rick Bonney]
7
And what impact of Citizen to Science?
Scientist/TechnicianPublic
Participants
Define a question/issue
Gather information
Develop explanations
Design data collection methods
Collect samples
Analyze samples
Analyze data
Interpret data/conclude
Disseminate conclusions
Discuss results/inquire further[slide by Rick Bonney]
7
And what impact of Citizen to Science?
Scientist/TechnicianPublic
Participants
Define a question/issue
Gather information
Develop explanations
Design data collection methods
Collect samples
Analyze samples
Analyze data
Interpret data/conclude
Disseminate conclusions
Discuss results/inquire further[slide by Rick Bonney]
7
And what impact of Citizen to Science?
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Citizen Science is new
Myth #1
[kriste
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9
History of the public debate
Culture of volunteering
(Future) Internet Enablement
The Raise of Citizen Science(long-term)
[with inputs from Rick Bonney and Sebastiaan ter Burg]
10Myth #1: busted
[slide by Rick Bonney]
11
The Raise of Citizen Science(short-term)
Myth #1: busted
Citizen science has the goal to engage everybodyin science
12Myth #2
Well, it depends on the objective(s)
13Myth #2: busted
Objective Methodology
New scientific knowledge Scientifically designed
Education/awareness raising/capacity building
Scientifically designed
Community building/strengthening Community-led
Communication/activism None specific
Resource sharing (money, time, computing)
Varied collection approaches
Projects can have multiple objectives and combine several methodologies.
Myth #2: busted14
And faces some challenges:two interpretations of openness
Open source software, open data,
open science…
Opening the research sector and scientific
community to new participants with diverse
(and unknown) backgrounds and skills
Myth #2: busted15
[content by Yola Georgiadou - ITC]
And faces some challenges:equity is not easy!
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Myth #316
Citizen Science is ICT-driven
Myth #3: busted17
• Support to pre-existing communities
• Amplifier to enlarge participation
• Enabler for new applications
18
More [connected] people
Mo
re m
ach
ines
Machines empowered by people e.g. mechanical turk
People empoweredby machinese.g. collective action
[graphic by David de Roure - University of Oxford]
Connecting the social and the machine
Myth #3: busted
I do Citizen Science if I am scraping Social Media
19Myth #4
[slide by Rick Bonney]
20Myth #4: busted
Re-using citizen-generated content for scientific purposes
Reaching out, e.g. to schools
Public labs, DIY science
Fostering intentional participation in science
Launching surveys, e.g. using hashtags
Citizen Science
Myth #4: busted
This is NOT to say that such projects are irrelevant!
21
Official building use data
Overall accuracy: 54%
Citizen Science research happens in isolation
Myth #522
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Myth #5: busted23
Myth #5: busted24
Citizen Science as a form of active citizenship
(behavioral change through science-literacy)
[en.w
ikip
edia
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Smart citizens, who:
• participate in their city’s daily governance,
• are concerned about increasing the Quality of
Life of their fellow-citizens, and
• protecting their environment.
OK! So what?25
Citizen Science is embedded in a changing society, science and policy-making landscape
Unfortunately to date there seems to be little synergybetween citizen science and smart cities initiatives, and there is little interoperability and reusability of the data, apps, and services developed in each project.
How to move ahead?26
Foster citizen participation in European science
• Co-create regional test beds for the analysis and integration of social and environmental data from heterogeneous sources, with a focus on quality of life and well-being
• Undertake comparative studies, and analyse issues related to scaling up to the European dimension
• Support citizen science and smart cities projects with our knowledge on semantic interoperability, data models, and interoperability arrangements
• Partner with ECSA, ENoLL and others in order to contribute to already ongoing interoperability activities
[flickr.com. coltera]
All have to leave their comfort zones…… and this is what we do today!
27
Thank you for your attention!
e-mail: [email protected]: @innovatearth
Final slide, really
All have to leave their comfort zones…… and this is what we do today!
Smart Cities + Citizen Science =Smart citizen and next-generation-science
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