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Data, networks and experimentationHasan Bakhshi
Nesta Policy & Research UnitIRC Annual Summit, 26th November, 2013
http://www.nesta.org.uk/
“Innovation policy would work better, we suggest, if modelled on experimental science and directed to the task of minimising the uncertainty that entrepreneurs face in the discovery of opportunities and constraints”
“…uncertainty is a defining feature of emergent areas subject to persistent structural change like the creative industries, and should be dealt with in a systematic way.”
Experimental programmes
Innovation policy as a process
Test a hypothesis
Discover what was unknown
Test a further hypothesis
Data and evidence-based policy
Data Programme Ex post Evaluation
Ex ante evaluation Programme Data
CASE 1: CREATIVE CREDITS
Innovationvoucher
Innovation projectCreative
RCT
SME
SMEs receiving Credit 78% more likely to undertake their projectStrong evidence of S/T output additionality in terms of increased innovations after six months
Source: Bakhshi et al (2011)
✓
✓
CASE 1: CREATIVE CREDITS
Innovationvoucher
Innovation projectCreative
RCT
SME
But no significant output additionality after 12 months
No significant network or behavioral additionality after 12 months
XX
Source: Bakhshi et al (2013)
Manchester SME needs at turn of 2010
CASE 2: DIGITAL R&D FOR THE ARTS
DIGITAL R&D FUND
Challenges
Opportunities
Digital R&D Projects
Funding
Research
Funding
£7 million, 2012-1550-60 R&D projects?Sector-wide learning
Arts organisations
Technology companies
Academic researchers
Top 10% of organisations
by how important they judge digital
technology to be to different activities
1736 new Twitter following connections between attendees after LeWeb’12 London
24% ↑ in total number of following connections between attendees
8% ↑ in total number of following connections made by attendees with non-attendees
Undertaking text analysis of tweets between participants who connected at
LeWeb'12 London
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