Transcript Innovation at Statistics Netherlands Barteld Braaksma and Marleen Verbruggen  The Innovation programme and the Innovation Lab  Innovation topics and three examples.

Innovation
at Statistics Netherlands
Barteld Braaksma and Marleen Verbruggen
 The Innovation programme and the Innovation Lab
 Innovation topics and three examples
Why an innovation programme?
External pressure
(new output channels.
cooperation)
Technological
challenges
(big data,
social media)
Innovation at Statistics Netherlands
Internal ideas
(empowerment;
synergies)
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How does the programme work(1/2)?
Road map for innovation tracks
1. Rough idea
2. Enriched idea
3. Find sponsor
4. Concrete proposal
5. Proof of Concept
6. Implementation
Not starting from methodology (theory)
But from idea for application (practice)
The best way of having a good idea is having a lot of ideas
Innovation at Statistics Netherlands
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How does the programme work(2/2)?
• Innovation program supports and facilitates tracks
• Survival of the fittest (accept failure)
# ideas > # PoCs > # implementations
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Resources from initiator, sponsor, methodology, IT
Collaboration with external partners
Strong support from top management
Light management and limited paperwork (‘just do it’)
Innovation at Statistics Netherlands
3
The Innovation lab
Heerlen
Opened
May2012
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Elaborating ideas
Brainstorming
Workshops
Open IT-environment
Communication facilities
Innovation at Statistics Netherlands
The Hague
4
Innovation topics
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Internet as a data source
Smartphone data collection
Traffic loop data
(Twitter streams)
(Satellite photos)
(Speech recognition)
(Open data)
(Visualisation methods and tools)
(New IT tools)
(CAPI using Win8 tablets)
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Internet as a Data Source (example 1/3)
 Many opportunities
 Price statistics
Job vacancies from internet robots
and quarterly statistics compared
%
 Job vacancies
 C2C (EBay)
 But important issues
45
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• Quality
15
10
• Methodology
5
0
• Legal aspects
Innovation at Statistics Netherlands
Elementary
Primary
Secondary
Higher
University
Unknown
Internet CBS
6
Smartphones (example 2/3)
 Promising applications
• Tracking smartphone use
• Combination with GPS data
• Short pop-up questionnaires
 Challenges
• Recruitment of participants (privacy!)
• Power consumption
• Methodological issues
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Experimental App for traffic survey
(trip detection/ interpretation/ additional questions)
Start
screen
Trip
detection
Innovation at Statistics Netherlands
Additional
questions
Summary
of trips
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Big Data (example 3/3)
 3 V’s: Volume, Variety, Velocity
• 80 million traffic loop detection records daily (Netherlands)
• One million Dutch social media messages daily
• Big challenge to extract meaningful statistical information!
 Need for new or adapted methods
• Visualization
• Text mining
• High Performance Computing
 Active area in Innovation Programme
• Experiments using state-of-the-art equipment
• Contracts for data sets
• Encourage/initiate contacts with external partners
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What are our experiences so far?
• Innovation programme works
(50 ideas during 2012)
• Many non-statistical issues show up
(legal aspects, IT requirements)
• New sources come with new challenges
(methodology, recruitment, robustness)
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