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Accommodating creative knowledge   Sako Musterd Urban Geography University of Amsterdam
ACRE project objective ,[object Object]
Creative industries ,[object Object]
Knowledge intensive industries ,[object Object]
ACRE project focus ,[object Object],[object Object],[object Object]
Integrated Methodology ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Development paths: wider economic and social contexts; main factors ,[object Object],[object Object],[object Object],[object Object]
‘ hard’ or ‘classic’  conditions … ,[object Object],[object Object],[object Object],[object Object],[object Object]
…  or ‘soft conditions’ … ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
…  or personal ‘network’ conditions … ,[object Object],[object Object],[object Object],[object Object]
Some empirical results based on ACRE large-scale surveys among high-skilled employees, managers, and transnational migrants
Perc. highly skilled employees that ranked networks, hard, or soft conditions indicators as most important 2373 100 8 34 58 Total 201 100 1 42 57 Dublin 183 100 4 32 64 Milan 191 100 10 42 47 Toulouse 200 100   10 91 Sofia 132 100 4 17 80 Riga 155 100 3 23 74 Poznan 178 100 10 60 30 Munich 159 100 8 50 43 Leipzig 191 100 10 39 51 Helsinki 197 100 5 24 71 Budapest 165 100 5 38 57 Birmingham 200 100 11 27 62 Barcelona 221 100 26 35 38 Amsterdam N Total percentage Soft conditions Hard conditions Networks  
Concepts ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Relative share of respondents that ranked indicators as among the four most important from a list of 26 indicators, assembled in specific dimensions, per urban region
Some conclusions ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
 
POLICIES
POLICIES ,[object Object],[object Object],[object Object],[object Object]
What Policies and Policy Vehicles? ,[object Object],[object Object],[object Object],[object Object]
What Policies and Policy Vehicles? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
What Policies and Policy Vehicles? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
What Policy Vehicles? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
POLICIES: Spatial Scale ,[object Object],[object Object],[object Object],[object Object],[object Object]
POLICIES: What Organisational Arrangements ,[object Object],[object Object],[object Object],[object Object],[object Object]
Conclusions and Questions ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Conclusions and Questions ,[object Object],[object Object],[object Object],[object Object],[object Object]

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Taking AI to the Next Level in Manufacturing.pdf
 

Introduction ACRE

  • 1. Accommodating creative knowledge Sako Musterd Urban Geography University of Amsterdam
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  • 11. Some empirical results based on ACRE large-scale surveys among high-skilled employees, managers, and transnational migrants
  • 12. Perc. highly skilled employees that ranked networks, hard, or soft conditions indicators as most important 2373 100 8 34 58 Total 201 100 1 42 57 Dublin 183 100 4 32 64 Milan 191 100 10 42 47 Toulouse 200 100   10 91 Sofia 132 100 4 17 80 Riga 155 100 3 23 74 Poznan 178 100 10 60 30 Munich 159 100 8 50 43 Leipzig 191 100 10 39 51 Helsinki 197 100 5 24 71 Budapest 165 100 5 38 57 Birmingham 200 100 11 27 62 Barcelona 221 100 26 35 38 Amsterdam N Total percentage Soft conditions Hard conditions Networks  
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  • 14. Relative share of respondents that ranked indicators as among the four most important from a list of 26 indicators, assembled in specific dimensions, per urban region
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