Next Generation of Intelligent Cities

2021 ◽  
pp. 87-111
Author(s):  
Vijayaraghavan Varadharajan ◽  
Rian Leevinson J.
Keyword(s):  
Public Policy ◽  
Decision Making ◽  
Autonomous Vehicles ◽  
Policy Making ◽  
Next Generation ◽  
Government Organizations ◽  
Intelligent City ◽  
Intelligent Cities ◽  
Definition Of ◽  
Rapid Transformation

Over the past decade, intelligent cities have undergone rapid transformation. The definition of an intelligent city may vary based on the context and the purpose served. However, the next generation of intelligent cities will have unique characteristics that will set them apart from the existing intelligent cities. They will be more people-centered, and they will be formed through the fusion of technology, government, organizations, and people. This chapter explores four intelligent cities in Europe that are setting examples for innovation, ingenuity, technology, public policy making, and sustainable development: London, Amsterdam, Vienna, and Stockholm. With growing emphasis on people involvement in decision making, the intelligent city ecosystem is continuously evolving. However, technology continues to play a prominent role in shaping the intelligent city paradigm. In this contribution, the authors also examine different emerging technologies such as quantum computing, autonomous vehicles, AI, ML, etc. that could potentially impact the next generation of such cities.

scholarly journals Measuring Happiness to Guide Public Policy Making: A Survey of Instruments and Policy Initiatives

2015 ◽  
Vol 7 (1) ◽  
Author(s):  
Laura Musikanski
Keyword(s):  
Public Policy ◽  
Policy Making ◽  
International Institutions ◽  
Well Being ◽  
Public Policy Making ◽  
Subjective Indicators ◽  
Policy Initiatives ◽  
Economic Paradigm ◽  
Definition Of

This author examines subjective indicators of well-being as they relate to the happiness movement, a global effort to create a new economic paradigm. The essay focuses on the prominent international institutions that are developing happiness metrics as well as agencies exploring the use of happiness data for crafting supportive public policy. A definition of happiness metrics, based on international institutions, identifies the primary questions that compose perceived happiness and how this data can be used.

Integrating Ecosystem Management and Environmental Media for Public Policy on Public Health and Safety

2018 ◽  
pp. 321-338
Author(s):  
Augustine Nduka Eneanya
Keyword(s):  
Public Health ◽  
Public Policy ◽  
Decision Making ◽  
Environmental Policy ◽  
Policy Making ◽  
Health And Safety ◽  
Scientific Data ◽  
Scientific Uncertainty ◽  
Public Health And Safety

Over the past three decades, the relationship between ecology and public policy has changed because of the increasing role of scientific uncertainty in environmental policy making. While earlier policy questions might have been solved simply by looking at the scientific technicalities of the issues, the increased role of scientific uncertainty in environmental policy making requires that we re-examine the methods used in decision-making. Previously, policymakers use scientific data to support their decision-making disciplinary boundaries are less useful because uncertain environmental policy problems span the natural sciences, engineering, economics, politics, and ethics. The chapter serves as a bridge integrating environmental ecosystem, media, and justice into policy for public health and safety. The chapter attempts to demonstrate the linkage between the environmental policy from a holistic perspective with the interaction of air, water, land, and human on public health and safety.

Integrating Ecosystem Management and Environmental Media for Public Policy on Public Health and Safety

2021 ◽  
pp. 612-629
Author(s):  
Augustine Nduka Eneanya
Keyword(s):  
Public Health ◽  
Public Policy ◽  
Decision Making ◽  
Environmental Policy ◽  
Policy Making ◽  
Health And Safety ◽  
Scientific Data ◽  
Scientific Uncertainty ◽  
Public Health And Safety

Over the past three decades, the relationship between ecology and public policy has changed because of the increasing role of scientific uncertainty in environmental policy making. While earlier policy questions might have been solved simply by looking at the scientific technicalities of the issues, the increased role of scientific uncertainty in environmental policy making requires that we re-examine the methods used in decision-making. Previously, policymakers use scientific data to support their decision-making disciplinary boundaries are less useful because uncertain environmental policy problems span the natural sciences, engineering, economics, politics, and ethics. The chapter serves as a bridge integrating environmental ecosystem, media, and justice into policy for public health and safety. The chapter attempts to demonstrate the linkage between the environmental policy from a holistic perspective with the interaction of air, water, land, and human on public health and safety.

scholarly journals Sustainability Indicators: Relevance, Public Policy Support and Challenges

2019 ◽  
Vol 9 (2) ◽  
pp. 173
Author(s):  
Andre C. S. Batalhao ◽  
Denilson Teixeira ◽  
Maria de Fatima Martins ◽  
Hans Michael van Bellen ◽  
Adriana Cristina Ferreira Caldana
Keyword(s):  
Public Policy ◽  
Decision Making ◽  
Public Policies ◽  
Sustainability Indicators ◽  
Policy Support ◽  
Mixed Methods Approach ◽  
The Public ◽  
Development Goals ◽  
The Subject ◽  
Definition Of

Sustainability is a topic that has gained importance in several fields of knowledge, including the public, private and society spheres, based on the discussions that involve the definition of several public policies. Sustainability Indicators (SI) are metrics that seek to measure the level of sustainability and compile information for better decision-making concerning policies, programs, projects and actions related to sustainability. Demonstrated their relevance to public policies the SI appears as an essential tool for evaluating development goals as a sustainable proposal. In this way, this research aimed to discuss the main challenges and methodological limitations found in the use of SI, emphasizing the main fragilities identified in the literature. In methodological terms, the research has exploratory characteristics, supported by the mixed methods approach using a theoretical-empirical analysis, from the available literature on the subject and the methodologies used and the experience of researchers about the topic addressed. The main results demonstrated that Sustainability Indicators are tools that should be used to define, implement, evaluate and monitor public policies at all levels, considering the potentialities/weaknesses and priorities of each context.

Analytics in Public Policy Related to Service Sector

2017 ◽  
pp. 34-53
Author(s):  
Maryam Ebrahimi
Keyword(s):  
Public Policy ◽  
Decision Making ◽  
Big Data ◽  
Competitive Advantage ◽  
Rapid Growth ◽  
Financial Services ◽  
Policy Making ◽  
Service Sector ◽  
Fraud Detection ◽  
Tools And Techniques

Big Data is transforming industries such as healthcare, financial services and banking, insurance, pharmacy, and telecommunication. Big Data concerns datasets that are not only big, but also high in variety and velocity, which makes them difficult to manage applying traditional tools and techniques. Big Data causes multitude benefits and advantages for industries such as marketing and selling, fraud detection, competitive advantage, risk reduction, and finally decision making and policy making. Due to the rapid growth of such data, methodologies and conceptual architectures need to be studied and provided in order to handle and extract value and knowledge from these data. The purpose of this chapter is studying Big Data benefits, characteristics, methodologies, and conceptual architectures in five different industries. Finally, according to the studies, a comprehensive methodology and architecture are proposed which might be applicable in service sector and one of the useful outcomes can be public policies.

Analytics in Public Policy Related to Service Sector

Web Services ◽  
2019 ◽  
pp. 185-203
Author(s):  
Maryam Ebrahimi
Keyword(s):  
Public Policy ◽  
Decision Making ◽  
Big Data ◽  
Competitive Advantage ◽  
Rapid Growth ◽  
Financial Services ◽  
Policy Making ◽  
Service Sector ◽  
Fraud Detection ◽  
Tools And Techniques

Big Data is transforming industries such as healthcare, financial services and banking, insurance, pharmacy, and telecommunication. Big Data concerns datasets that are not only big, but also high in variety and velocity, which makes them difficult to manage applying traditional tools and techniques. Big Data causes multitude benefits and advantages for industries such as marketing and selling, fraud detection, competitive advantage, risk reduction, and finally decision making and policy making. Due to the rapid growth of such data, methodologies and conceptual architectures need to be studied and provided in order to handle and extract value and knowledge from these data. The purpose of this chapter is studying Big Data benefits, characteristics, methodologies, and conceptual architectures in five different industries. Finally, according to the studies, a comprehensive methodology and architecture are proposed which might be applicable in service sector and one of the useful outcomes can be public policies.

The New Interdisciplinary Fields of Public Policy Engineering and Computational Public Policy

2014 ◽  
pp. 233-238 ◽  
Author(s):  
Ashu M. G. Solo
Keyword(s):  
Public Policy ◽  
Decision Making ◽  
Research And Development ◽  
Computer Science ◽  
Natural Science ◽  
Policy Formulation ◽  
Definition Of

This chapter describes two new interdisciplinary fields defined by Ashu M. G. Solo called “public policy engineering” and “computational public policy.” Public policy engineering is the application of engineering, computer science, mathematics, or natural science to solving problems in public policy. Computational public policy is the application of computer science or mathematics to solving problems in public policy. Public policy engineering and computational public policy include, but are not limited to, principles and methods for public policy formulation, decision making, analysis, modeling, optimization, forecasting, and simulation. The definition of these two new fields will greatly increase the pace of research and development in these important fields.

Building Intelligent Cities

2021 ◽  
pp. 1-27
Author(s):  
Vijayaraghavan Varadharajan ◽  
Akanksha Rajendra Singh
Keyword(s):  
Decision Making ◽  
Resource Allocation ◽  
Data Management ◽  
Real Time ◽  
Smart Cities ◽  
Technology Infrastructure ◽  
Intelligent City ◽  
Intelligent Cities ◽  
Comprehensive Introduction

A city may be regarded as an intelligent city when its services to citizens are connected and it is able to obtain data from every aspect of its technology infrastructure to leverage it in real time for resource allocation, monitoring, management, and decision making. Cities around the globe are ambitiously leveraging the latest technologies to transform their infrastructures to better provision and manage the e-services. Although they are setting goals for focusing on the appropriate financing, long-term planning, developing technology stack, and advancing data management, governments need to further encompass all relevant guidelines towards right technology frameworks before commencing their intelligent city projects. This chapter provides a comprehensive introduction to intelligent cities, also known as smart cities, and the associated requirements. It also articulates the evolution of a typical city to a truly integrated, responsive, open, and connected intelligent city and the required underlying technologies.

scholarly journals COLLABORATIVE POLICY-MAKING, LAW STUDENTS, AND ACCESS TO JUSTICE: THE REWARDS OF DESTABILIZING INSTITUTIONAL PATTERNS

2017 ◽  
Vol 34 (1) ◽  
pp. 148-174
Author(s):  
Brea Lowenberger ◽  
Michaela Keet ◽  
Janelle Anderson
Keyword(s):  
Public Policy ◽  
Decision Making ◽  
Social Justice ◽  
Social Policy ◽  
Policy Making ◽  
School Setting ◽  
Law School ◽  
Law Students ◽  
Access To Justice ◽  
Teaching Team

Heightened concerns and dialogue about access to justice have infused the law school setting in Saskatchewan and, to varying degrees, across the country. If there ever were a time to approach social justice reform differently – to upset traditional parameters around decision making and step around older hierarchies for input and design – it would be now. This article describes the Dean’s Forum on Dispute Resolution and Access to Justice (colloquially known as the Dean’s Forum) as a platform for genuine student engagement in the development of public policy in this important area. We offer our combined reflections, gathered inside our “teaching team,” about the unique pedagogical features of our experiment and its challenges. As we continue to grow with the project, we offer this Saskatchewan story as one example of institutional collaboration in a quickly evolving educational and social policy landscape.

History, Policy Making, and Sustainability

2020 ◽  
pp. 1-17
Author(s):  
Om Prakash
Keyword(s):  
Public Policy ◽  
Decision Making ◽  
Policy Making ◽  
Global Dimension ◽  
The State ◽  
Policy Issues ◽  
The Public ◽  
Key Policy ◽  
Quality Of Governance

Public policy and policy making is an inherent task of the institutions and state for the purpose of well-knit and sustainable governance in the society and organisation as well as in the state. The quality of governance is based upon how visionary the public policy is and how far it has been implemented. The aspect of sustainability thrives on the perspective that policy making should be inclusive having inter-generational justice. The chapter attempts to look into how far history has played its role in policymaking of the state and civil society. It also looked into how history had a role in the foreign policy making of the state. Analogies can be drawn from the past experience into the present decision making which can have a reflection in the future as well. Lyndon Johnson's administration prepared internal histories to key policy issues, in hopes of better informing the initial efforts of its successor. The illustrations and examples in the chapter are not confined to the geographical boundaries of any particular nation but rather have a global dimension.

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