here comes the science... but how will we know?
DESCRIPTION
TEDx Brum talk by Lucy Bastin, Aston University : the quality of volunteered geographic information, the value of citizen science and how we can all critically assess evidence and engage in open peer review. Live recording at: http://www.youtube.com/watch?v=MoBoUdkuwtwTRANSCRIPT
Here comes the science… …but how will we know?
Engage in fair peer review.
State your purpose clearly and honestly.
Acknowledge uncertainty.
Aren’t we ALL scientists now?
http://www.gamesforchange.org/play/rizk/
http://www.galaxyzoo.org/
http://www.opalexplorenature.org/
http://www.ushahidi.com/
Collaboration / peer review
http://www.openstreetmap.org/
http://www.openheatmap.com http://geocommons.com
http://cartodb.com
Tweet mapping with R – shared computation by Miguel Rios http://blog.revolutionanalytics.com/
Citizen Science
• It’s hard to run controlled experiments in conservation planning, flood management, infrastructure development…
• To make strategic decisions, we rely on models - to train and validate those models we need data.
• Volunteered data can be timely and plentiful
…………….But is it any good?
The state of automated amateur weather observations (2013) Bell, S., Cornford, D. & Bastin, L. Weather. 68, 2, p. 36-41.
Gappy data
http://code.flickr.net/2008/10/30/the-shape-of-alpha/
http://www.flickr.com/map/
Clustr + Flickr
Image © Simon Bell
Image © Simon Bell
Fitness-for-purpose
The state of automated amateur weather observations (2013) Bell, S., Cornford, D. & Bastin, L. Weather. 68, 2, p. 36-41.
Peer-reviewing data and models
GeoViQua http://geoviqua.org
Forbes, 25/4/2013
Obstacles to Open Data and Models
• It’s my livelihood
• It’s confidential
• What if it was misused by a blunderer?
‘Only 12% of diabetes sufferers in South Birmingham have been recorded by GPs’
How much harm could a blunderer do?
‘Only 12% of diabetes sufferers in South Birmingham have been recorded by GPs’
17,428 diabetic patients registered with GPs 126,322 diabetic patients not registered ...nearly 50% of the local population.
Q1. Does it fit with independent evidence?
Q2. What data am I actually looking at?
Q3. What are the spatial units?
‘Spline interpolation was used to estimate values at intermediate locations’
Q4: Why (not just how) was a technique used?
Q5. Where’s the uncertainty?
x 5,000
Why not automate everything?
Copied from Casino Royale (Columbia Pictures, 1967)
foldit http://fold.it/portal/
Old Weather (a Zooniverse project) http://www.oldweather.org/
British Library – Old Maps Online http://www.bl.uk/maps/index.html
Fritz et al., Remote Sens. 2009, 1, 345-354; doi:10.3390/rs1030345 http://www.geo-wiki.org/