1 Innovation at Statistics Netherlands 1 How does the programme - - PDF document

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1 Innovation at Statistics Netherlands 1 How does the programme - - PDF document

Innovation at Statistics Netherlands Barteld Braaksma and Marleen Verbruggen The Innovation programme and the Innovation Lab Th I ti d th I ti L b Innovation topics and three examples Why an innovation programme? External


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Innovation at Statistics Netherlands

Barteld Braaksma and Marleen Verbruggen

 Th I ti d th I ti L b  The Innovation programme and the Innovation Lab  Innovation topics and three examples

Why an innovation programme?

External pressure

(new output channels. cooperation)

Technological challenges Internal ideas

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Innovation at Statistics Netherlands

g

(big data, social media) (empowerment; synergies)

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Road map for innovation tracks

How does the programme work(1/2)?

1. Rough idea 2. Enriched idea 3. Find sponsor 4. Concrete proposal 5. Proof of Concept 6. Implementation

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Innovation at Statistics Netherlands

The best way of having a good idea is having a lot of ideas Not starting from methodology (theory) But from idea for application (practice)

How does the programme work(2/2)?

  • Innovation program supports and facilitates tracks
  • Survival of the fittest (accept failure)

( p )

# ideas > # PoCs > # implementations

  • Resources from initiator, sponsor, methodology, IT
  • Collaboration with external partners
  • Strong support from top management
  • Light management and limited paperwork (‘just do it’)

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Innovation at Statistics Netherlands

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The Innovation lab

Heerlen

O d

  • Elaborating ideas
  • Brainstorming

Opened May2012

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Innovation at Statistics Netherlands

The Hague

  • Workshops
  • Open IT-environment
  • Communication facilities

Innovation topics

  • Internet as a data source
  • Smartphone data collection
  • Smartphone data collection
  • Traffic loop data
  • (Twitter streams)
  • (Satellite photos)
  • (Speech recognition)
  • (Open data)

(Visualisation methods and tools)

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Innovation at Statistics Netherlands

  • (Visualisation methods and tools)
  • (New IT tools)
  • (CAPI using Win8 tablets)
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Internet as a Data Source (example 1/3)

Job vacancies from internet robots

  • Many opportunities

20 25 30 35 40 45 %

and quarterly statistics compared

 Price statistics  Job vacancies  C2C (EBay)

  • But important issues

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Innovation at Statistics Netherlands

5 10 15

Elementary Primary Secondary Higher University Unknown

Internet CBS

  • Quality
  • Methodology
  • Legal aspects

Smartphones (example 2/3)

  • Promising applications

T ki t h

  • Tracking smartphone use
  • Combination with GPS data
  • Short pop-up questionnaires
  • Challenges
  • Recruitment of participants (privacy!)
  • Power consumption

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Innovation at Statistics Netherlands

p

  • Methodological issues
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Experimental App for traffic survey (trip detection/ interpretation/ additional questions)

Start Trip Additional Summary screen detection questions

  • f trips

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Innovation at Statistics Netherlands

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

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Innovation at Statistics Netherlands

  • 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) (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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Innovation at Statistics Netherlands