aag 2015 - cost energic, vgi, citizen science and openstreetmap
TRANSCRIPT
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ESF provides the COST Office
through a European Commission contractCOST is supported
by the EU Framework Programme
ENERGIC (European Network
Exploring research into
geospatial information
crowdsourcing)
IC1203
Start date: 05/12/2012
End date: 04/12/2016
Chair Cristina Capineri, University of Siena (Italy)
Vice Chair Muki Haklay, UCL London, UK
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Objectives1. Identify VGI
taxonomy of
sources
2.Identify credibility
and relevance
measures (topicality,
coverage, temporal
and patial proximity..)
5.Transfer knowledge
to the scientific
community and to
practitioners,firms,
ONG.
“Imagine a world with a
ubiquitous flow of real time
information. A world where
every point in space is a
sensor and also a potential
display”
6. Build research agendas
3.Interoperability and
semantics
4. Gather European
short cases
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3
ENERGIC TOOLS
•WORKING GROUPS
WG1 Societal and human aspects of VGI.
WG2 Spatial data Quality and infrastructures.
WG3 Data mining, semantics and VGI use.
• SHORT TERM MISSIONS
• TRAINING SCHOOLS
www.vgibox.eu
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VGI Biological Recording
Community/Civi
c science
Volunteer
computing
DIY scienceVolunteer Thinking
VGI/Citizen Science
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OSM Studies
• OSM != VGI – they are not the same things.
Without comparing OSM to the wider
‘universe’ of VGI and citizen science projects,
it is wrong to generalise
• OSM deserve special attention, because of
scale, importance to humanitarian activities
and because it’s the biggest open mapping
project.
• But OSM can also benefit from other cases.
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OSM, VGI, Citizen Science
The role of academics within the OSM
community: be a critical friend. No point in
just telling ‘you’re the best kid in the class!’.
Understandable that commercial/voluntary
actors do that – they have to.
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Example: how many contributors?
2,000,000 ?
10,000?
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Biggest VGI project?
Growth in eBird contributions since its
introduction in 2002 (Lagoze 2014)
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Oh, but it’s different, OSM is geo
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Citizen Science, VGI, OSM studies
OSM Studies
• Quality
• Participants motivations
• Inclusion / exclusion
VGI
• Participation inequality
• Quality assurance
• Coverage
Citizen Science
• Quality assurance
• Biases
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‘Code of engagement’ for
OpenStreetMap researchRule 1 – even if you are just going to use the
data, do some mapping, and understand the
process. Join a mapping party.
This will help you avoiding misinterpretations
such as ‘the data is collected by users from
the GPS trails’
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‘Code of engagement’ for
OpenStreetMap researchRule 2 – Read. OSM Books, Wiki, Blog and
mailing lists.
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‘Code of engagement’ for
OpenStreetMap research
Rule 3 – Explore the data. There’s plenty of it –
quantitative and qualitative. Then talk with
someone in the community to check that you’ve
got it right.
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‘Code of engagement’ for
OpenStreetMap research
Rule 4 – Open Access. Put outputs in Open Access
repository, publish in Open Access journals &
blogs.
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‘Code of engagement’ for
OpenStreetMap researchRule 5 - Open Knowledge. Publish and share
the data that you’ve processed, and ideally
the code so other people can use it for their
purposes.
Rule 6 - You have a responsibility to your
academic field, and the OpenStreetMap
community can deal with criticism – be a
critical friend.
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‘Code of engagement’ for
OpenStreetMap researchRule 7 - Teach. Students are some of the most
likely participants. It’s
also fun for them.
Source: Harry Wood 2010
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‘Code of engagement’ for
OpenStreetMap research
Maintain links with the OSM community – it will
pay off and will help you to identify new
research directions
Also maintain links within the VGI research
community – even if the term is awkward, the
research is valuable
Explore comparisons and parallels – it’s important
to learn what is going on in other projects