EU Smart Cities and Communities information system

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Presentation transcript:

EU Smart Cities and Communities information system Branislav Iglár AIT Austrian Institute of Technology Center of Energy

What is SCIS? Repository of best practices and lessons learnt EU funded projects Extract the minimum amount of information that is necessary in order to replicate a solution Data collection & analysis Visualisation of KPIs General assessment of a specific development of projects SCIS is NEITHER an audit NOR a comparison of projects No verification of results, only analysis No rankings SCIS does NOT substitute the project’s website

Stakeholders involved in impl. SCIS‘ outcomes SCC, EeB & EE projects: Solutions & Data Database & Website: Technologies | Demo sites | KPIs | Solutions | Recommendations Stakeholders involved in impl. Policy makers Experts

Challenges Data is public Accessible for the user – open data Reduce double efforts KPI calculation Described in the KPI guide Double check: by SCIS and by the projects Different stages / maturity  Data is used Assessment Consultation Minimum requirements Large number of technologies Overview of what works

Conclusion Unify criteria and ensure consistency Clear structure Minimum data requirements to ensure a proper assessment of the Smart Cities projects performance Cross link of SCIS and other initiatives (CITYkeys), standardisation processes (ISO37120), projects etc. Adapt and include KPIs towards ongoing European developments and targets ICT Mobility

SCIS & UN SDG-U4SSC SCIS is on a different level – complementary assessment to strategies supporting stakeholders involved in smart city project development and implementation Contribution to a big picture of different series of KPIs Not competing No inconsistency Different but aligned levels support SCC strategies, projects and their replication SCIS provides added value Specific progress of projects KPIs for project assessment and management Communicating performance and impact of certain implementation to stakeholders for replication

Recommendations Combination of quantitative and qualitative information to provide context turned out to be the best way to support replication Municipal administrations see low contribution of commercial indices to their work KPIs rather for assessment than for comparing The results show that the application of KPIs to assess design and monitoring data can point out a gap that represents a certain problem in the implementation Clear and common framework necessary - detection of inconsistencies by applying a common KPI/assessment framework, esp. for financial assessment Cross-referencing is key – European framework can give an important contribution but cannot solely define on international level (e.g. ISO developments)