Week 7 Discussion & Journal Reflection

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ITS 832: Information technology in a global economy

Chapter 17

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University of Cumberlands

overview

Analytical Centers in the Russian Federation

Situational Centers

State Automated System “Administration”

Other Policy-Making Tools and Techniques

Conclusion

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University of Cumberlands

Analytical Centers in the Russian Federation

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University of Cumberlands

First generation of analytical systems for policy making

1970s –Chile

Engaged stakeholders at all levels

Nearly the same time

Soviet Union

Nationwide automated system –OGAS

When the Soviet Union dissolved

Russian Federation continued work in analytics

Developed Analytic Centers, each with specific focus

Situational centers

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University of Cumberlands

Research matured in analytics

Centers began to focus on classes of issues

Situational centers emerged

Analytics focused on specific government functions

Share goal is to handle big data

Most stored data is not used

Situational centers attempt to use previously unused data

State Automated System “Administration”

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University of Cumberlands

Unified distribution of government data

Collection and analysis

Includes

Classic BI processing

OLAP processing

Advanced analytics

Supports decision making in government

Three level structure

Central

Departmental

Regional

Other Policy-Making Tools and Techniques

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University of Cumberlands

conclusions

University of Cumberlands

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Situational centers

Not integrated into decision making

Currently mainly used in crisis situations

Capabilities not leveraged

Underutilized

Limited funding for further research

Centers are capable, but are not being utilize

ITS 832: Information technology in a global economy

Chapter 18

8

University of Cumberlands

overview

Introduction and Background

Case Studies –Energy Efficiency

Integrating Energy Efficiency and Urban Sustainability

The Dutch Kadaster

The Solar Atlas of Berlin

The Sicilian “Carta del Sole”

Policy Implications for the Future

Conclusions

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University of Cumberlands

Introduction and background

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University of Cumberlands

Sustainable urban governance

How can IT encourage sustainable urban development?

Many previous projects were monolithic

Technical controls OR •

Technical sensors

EU’s 2007 Energy Policy

Combat climate change

Limit EU’s vulnerability to imported hydrocarbons

Promote growth and jobs

Multiple projects that incorporate measurement and control

ICT Enablers of Energy Efficiency

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University of Cumberlands

Case study 1

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University of Cumberlands

Integrating Energy Efficiency and Urban Sustainability

Northern Europe

Strong commitment to green energy and sustainability

Especially Finland

Amsterdam Sustainability Index (ASI)

Metrics to measure urban sustainability and energy efficiency

ASI metrics

Energy savings

Mobility and air quality

Sustainable innovative economy

Materials and consumers

Case study 2

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University of Cumberlands

The Dutch Kadaster

Land Registry and Mapping Agency

Priority in planning

50% of Netherlands land area is below sea level

Concern over rising sea levels make land use planning critical

Energy Performance Building Directive (EPBD)

Requires energy label for all construction, sale, rental transactions

Goal is to reduce energy use of all properties

Case study 3

University of Cumberlands

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The Solar Atlas of Berlin

Goal is to increase efficient use of energy

Main objectives

Display locations of existing solar installations

Visualize potential of the solar industry

Highlight rooftops suitable for solar panels

Overall goal is to best utilize solar power

3D modeling helps in visualizing data

Case study 4

The Sicilian ‘Carta del Sole’

In English: ‘Facing the Sun’

Southern Europe generally lags when pursuing efficient sustainable energy

Sicily has generally been a difficult place to implement energy policy

Slow for residents to adopt solar energy

However, the most modern solar power production facility in Europe is based here

Challenge is to increase public support for alternative energy sources

University of Cumberlands

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Policy implications

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Systems dynamics performance management

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conclusions

Shared successful project characteristics

Strong municipal vision

Focused effort to improve transport sustainability

Dynamic approach to impact modeling

Integrated e-government systems

Policy implications

Cadastral data provides solid predictive summary data

Interinstitutional cooperation is crucial for stakeholder engagement

University of Cumberlands

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