citizen science & social innovation · •collaborative science –problem definition, level 4...
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Citizen Science & Social Innovation
Muki Haklay, Extreme Citizen Science groupDepartment of Geography, UCL
Twitter: @mhaklay / @ucl_excites
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• What is citizen science?• Bottom-up / top-down. Challenges of multiple
goals.• Why there is an interest in citizen science? (open
science, RRI) • Who is interested (environmental policy, science
policy, innovation)?
Outline
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Participatory Mapping: context1980s
• Participatory Rural Appraisal
• Participatory Learning and Action
1990s
• Public Participation GIS (PPGIS)
• Participatory GIS (PGIS)
2000s
• Volunteered / Crowdsourced Geographic information
• Participatory Sensing
2010s
• Citizen Science
APB-CMX Harry Wood 2010
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Haklay, Mazumdar & Wardlaw, 2018, Citizen Science for Observing and Understanding the Earth, Earth Observation, Open Science, and Innovation
Citizen Science
Long running Citizen Science
Ecology & biodiversity
Meteorology Archaeology
Citizen Cyberscience
Volunteer computing
Volunteer thinking
Passive Sensing
Community Science
Participatory sensing
DIY Science Civic Science
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Citizen Science
Awareness to environmental
or scientific issue
Producing scientific outputs
Achieving temporal and geographical
coverage
Achieving inclusiveness
Increasing scientific literacy
Accessing resources
Creating enjoyable & engaging
experiences
Citizen Science goals
• Each citizen science project is a balancing act between the scientific goals, scale and depth of engagement, benefits to different stakeholders (scientists, participants, project funders)
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Participation in citizen science • Collaborative science – problem definition,
data collection and analysisLevel 4 ‘Extreme’
• Participation in problem definition and data collection
Level 3 ‘Participatory science’
• Citizens as basic interpreters Level 2 ‘Distributed intelligence’
• Citizens as sensors Level 1 ‘Crowdsourcing’
Haklay. 2013. Citizen Science and volunteered geographic information: Overview and typology of participation, Crowdsourcing Geographic Knowledge
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• Contractual - communities ask professional researchers to conduct a specific scientific investigation and report on the results;
• Contributory - generally designed by scientists and members of the public primarily contribute data;
• Collaborative - generally designed by scientists and members of the public contribute data, refine project design, analyse data, disseminate findings;
• Co-Created - designed by scientists and members of the public working together, some of the public participants are actively involved in most aspects of the research process; and
• Collegial - non-credentialed individuals conduct research independently with varying degrees of expected recognition by institutionalised science.
Shirk et al. 2012 “5 Cs typology”
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After Cooper, Dickinson, Phillips & Bonney (2007) Citizen Science as tool for conservation in residential ecosystems. Ecology and Society 12(2)
Question
Study Design
Data Collection
Data Analysis and
Interpretation
Understanding
results
Management Action
Geographic scope
of project
Nature of people
taking action
Research priority
Education priority
Traditional
Science
Scientific
Consulting*Contributory
Citizen
Science
Collaborative
Citizen
Science
Collegial
Citizen
Science /
Participatory
Action
Research
Variable Narrow NarrowBroad Broad
ManagersCommunity
Groups Managers IndividualsCommunity
Groups
Highest Medium High High Medium
Low Medium High High High
*often called Science Shops
Community Science
Co-created
Citizen
Science
Narrow
High
High
All
√
√√√
√
√
√
√
√
√
√ √
√
√
√
√
√
√
√
√
√
√ √
√
√
√Public Scientists
√
√
√
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Everyone
Passive consumption of science
Opportunistic or highly limited participation
Data collection and analysis
High engagement in DIY science
Joining volunteer computing or thinking
7 Levels of Engagement
Active consumption of science
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 709443
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• Participants are well educated & contribution to science is known motivator
• They provide free labour and/or resources, and many want to see outputs used openly
• Open access publications are necessary
• Participants can also analyse the data and might have their own analysis, visualisations and conclusions.
Citizen Science & Open Science
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• Open Science and Citizen Science should be jointly considered in research and innovation.
• Pay attention to synergies, international aspects. Ensure support for existing community-driven initiatives.
• Targeted actions are required. Existing systems (funding, rewards, impact assessment and evaluation) need to be assessed and adapted to become fit for CS and OS.
• Education and training is essential. Foster more research, critical reflection and exchange between researchers and practitioners.
• Tools and infrastructures, in particular shared ones for OS and CS, require dedicated support.
DITOs Policy brief
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LERU recommendations (2016)
• For Universities: Recognise the field, create a single point of contact, provide ethical and logistical support, ensure long term commitment to participants.
• For Funders: Address range of success criteria, ensure community “pay back”, and open science.
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Policy awareness and impact
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27
26
25
24
22
21 20
19
18
17
16
1514
13
12 11
10
98
7
65 4 3
21
One off Long term
Global
National
City
Local
28 29
30
23
31
32
33
35 34
R&I
R&I
R&I R&IOutreach
R&I
Outreach/ R&ILT NGO
LT NGO(Method)
SCS
SCS
SCS
SCS
SCS
SCS
SCS SCS SCS
LT GOV
LT GOV LT NGO
LT NGOLT NGOLT NGO
LT NGO
Outreach/ R&IR&IR&I
R&I
Outreach
R&I
MI
MI
MI
MI
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Participatory software design
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Towards Intelligent Maps
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• Open access
• 580 pages • 31 chapters • Case study
on China
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Follow us:– http://www.ucl.ac.uk/excites– Twitter: @UCL_ExCiteS– Blog:
http://uclexcites.wordpress.com
The work of ExCiteS is supported by EPSRC, ERC, EU FP7, EU H2020, RGS, Esri, Forest People Program, Forests Monitor, WRI and all the people in communities that we’ve worked with over the years