Call for papers - ICPP6 T07P01 - EXPLORING TECHNOLOGIES FOR POLICY ADVICE.docx
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CALL FOR PAPERS T07P01 - EXPLORING TECHNOLOGIES FOR POLICY ADVICE https://www.ippapublicpolicy.org/conference/icpp6-toronto-2023/panel-list/17/panel/exploring-technologies-for-policy-advice/1295 Abstract submission deadline: 31 January 2023 GENERAL OBJECTIVES, RESEARCH QUESTIONS AND SCIENTIFIC RELEVANCE Knowledge and expertise are key components of policy-making and policy design, and many institutions and processes exist – universities, professional policy analysts, think tanks, policy labs, etc. – to generate and mobilize knowledge for effective policies and policy-making. Despite many years of research, however. many critical ssues remain unexplored, including the nature of knowledge and non-knowledge, how policy advice is organized into advisory systems or regimes, and when and how specific types of knowledge or evidence are transmitted and influence policy development and implementation. These long-standing issues have been joined recently by use of Artificial Intelligence and Big data, and other kinds of technological developments – such as crowdsourcing through open collaboration platforms, virtual labour markets, and tournaments – which hold out the promise of automating, enhancing. or expanding policy advisory activities in government. This panel seeks to explore all aspects of the application of current and future technologies to policy advice, including case studies of its deployment as well as theoretical and conceptual studies dealing with moral, epistemological and other issues surrounding its use.
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Do you know how data-driven approaches can influence the policy cycle and the benefits derived from this? Have you ever participated in a policy-lab, collaborating with other stakeholders to develop and test a policy? In this session, Anne Fleur van Veenstra from TNO will delve into current practices, insights and lessons learnt from current policy-lab projects, followed by Francesco Mureddu, from the Lisbon Council, who will look ahead and identify the main challenges and opportunities by presenting and discussing a roadmap for Future Research Directions in data-driven Policy Making. Workshop II on a Roadmap to Future Government
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Chapter2-Educating Public managers and policy analysts in the era of informatics
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Chapter Goals and Objectives
Overall – students will learn and understand why:
▪ the explosive growth in data, computational power, and social media create new opportunities for innovating governance and policy-making ▪ global information and communications technology (ICT) developments affect policy-making cycle and result in drastic changes in the policy development
▪ organizations need the digital developments, new approaches, concepts, instruments, and methods as they operate in the complex and uncertain societies
▪ e-government policy, e-policy, policy informatics, and data science are different
1. Intro to Policy-Making in the Digital Age
❖ Identification of complexity and uncertainty in policy-making
▪ policy-making is driven by the need to solve societal problems
❖ Developments
▪ developments that influence the traditional way of policy-making
❖ Availability of Big and Open Linked Data (BOLD)
▪ Learn and understand the needs for multiple perspectives to stimulate new practices
❖ Rise of hybrid simulation approaches
▪ allows decision-makers to understand the essence of a policy…
❖ Ubiquitous user engagement
▪ considerable complexities encountered in the design of public policy
❖ Combining disciplines in e-government policy-making
▪ practice driven, employs modeling techniques, needs knowledge from various fields, and maintains focus on governance and policy-making
2. Why educate public managers and policy analysts in the era of informatics
❖ Types of practitioner orientations to policy informatics
▪ two “ideal types” of policy informatics practitioner, require greater and greater levels of technical mastery of analytics techniques and approaches
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▪ need to know what kinds of questions that policy informatics projects or programs can answer or not answer
▪ need to know how to contract with and/or manage data managers, policy analysts, and modelers
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▪ need for policy analysts – move beyond basic surveys of research methods
❖ Applications to professional masters programs
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▪ PA 306: Policy Systems ▪ PA 308: Decision-Making Models ▪ PA 317: Systems Analysis and Strategic Management
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▪ policy-making is driven by the need to solve societal problems
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Chapter Goals and Objectives
Overall – students will learn and understand why:
▪ the explosive growth in data, computational power, and social media create new opportunities for innovating governance and policy-making ▪ global information and communications technology (ICT) developments affect policy-making cycle and result in drastic changes in the policy development
▪ organizations need the digital developments, new approaches, concepts, instruments, and methods as they operate in the complex and uncertain societies
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❖ Identification of complexity and uncertainty in policy-making
▪ policy-making is driven by the need to solve societal problems
❖ Developments
▪ developments that influence the traditional way of policy-making
❖ Availability of Big and Open Linked Data (BOLD)
▪ Learn and understand the needs for multiple perspectives to stimulate new practices
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❖ Combining disciplines in e-government policy-making
▪ practice driven, employs modeling techniques, needs knowledge from various fields, and maintains focus on governance and policy-making
2. Why educate public managers and policy analysts in the era of informatics
❖ Types of practitioner orientations to policy informatics
▪ two “ideal types” of policy informatics practitioner, require greater and greater levels of technical mastery of analytics techniques and approaches
❖ Policy informatics-savvy public managers
▪ need to know what kinds of questions that policy informatics projects or programs can answer or not answer
▪ need to know how to contract with and/or manage data managers, policy analysts, and modelers
❖ Second type of practitioners – policy informatics analysts
▪ need for policy analysts – move beyond basic surveys of research methods
❖ Applications to professional masters programs
▪ PA 301: Foundations of Public Administration
▪ PA 306: Policy Systems ▪ PA 308: Decision-Making Models ▪ PA 317: Systems Analysis and Strategic Management
3. The quality of social simulation: An example from research policy modeling
❖ Communicative skills, patience, willingness to compromise
▪ policy-making is driven by the need to solve societal problems
❖ Quality in social simulation
▪ develop models from a simulation as “an illusory appearance that manages a reality effect” (cf. Norris 1992)
❖ Assessing quality: the example – the SKIN approach
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Chapter1- intro to policy making in the digital Age
Chapter2-Educating Public managers and policy analysts in the era of informatics
Chapter3-The Quality of social simulation: An example from research policy modeling
Chapter Goals and Objectives
Overall – students will learn and understand why:
▪ the explosive growth in data, computational power, and social media create new opportunities for innovating governance and policy-making ▪ global information and communications technology (ICT) developments affect policy-making cycle and result in drastic changes in the policy development
▪ organizations need the digital developments, new approaches, concepts, instruments, and methods as they operate in the complex and uncertain societies
▪ e-government policy, e-policy, policy informatics, and data science are different
1. Intro to Policy-Making in the Digital Age
❖ Identification of complexity and uncertainty in policy-making
▪ policy-making is driven by the need to solve societal problems
❖ Developments
▪ developments that influence the traditional way of policy-making
❖ Availability of Big and Open Linked Data (BOLD)
▪ Learn and understand the needs for multiple perspectives to stimulate new practices
❖ Rise of hybrid simulation approaches
▪ allows decision-makers to understand the essence of a policy…
❖ Ubiquitous user engagement
▪ considerable complexities encountered in the design of public policy
❖ Combining disciplines in e-government policy-making
▪ practice driven, employs modeling techniques, needs knowledge from various fields, and maintains focus on governance and policy-making
2. Why educate public managers and policy analysts in the era of informatics
❖ Types of practitioner orientations to policy informatics
▪ two “ideal types” of policy informatics practitioner, require greater and greater levels of technical mastery of analytics techniques and approaches
❖ Policy informatics-savvy public managers
▪ need to know what kinds of questions that policy informatics projects or programs can answer or not answer
▪ need to know how to contract with and/or manage data managers, policy analysts, and modelers
❖ Second type of practitioners – policy informatics analysts
▪ need for policy analysts – move beyond basic surveys of research methods
❖ Applications to professional masters programs
▪ PA 301: Foundations of Public Administration
▪ PA 306: Policy Systems ▪ PA 308: Decision-Making Models ▪ PA 317: Systems Analysis and Strategic Management
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❖ Communicative skills, patience, willingness to compromise
▪ policy-making is driven by the need to solve societal problems
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▪ develop models from a simulation as “an illusory appearance that manages a reality effect” (cf. Norris 1992)
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Chapter3-The Quality of social simulation: An example from research policy modeling
Chapter Goals and Objectives
Overall – students will learn and understand why:
▪ the explosive growth in data, computational power, and social media create new opportunities for innovating governance and policy-making ▪ global information and communications technology (ICT) developments affect policy-making cycle and result in drastic changes in the policy development
▪ organizations need the digital developments, new approaches, concepts, instruments, and methods as they operate in the complex and uncertain societies
▪ e-government policy, e-policy, policy informatics, and data science are different
1. Intro to Policy-Making in the Digital Age
❖ Identification of complexity and uncertainty in policy-making
▪ policy-making is driven by the need to solve societal problems
❖ Developments
▪ developments that influence the traditional way of policy-making
❖ Availability of Big and Open Linked Data (BOLD)
▪ Learn and understand the needs for multiple perspectives to stimulate new practices
❖ Rise of hybrid simulation approaches
▪ allows decision-makers to understand the essence of a policy…
❖ Ubiquitous user engagement
▪ considerable complexities encountered in the design of public policy
❖ Combining disciplines in e-government policy-making
▪ practice driven, employs modeling techniques, needs knowledge from various fields, and maintains focus on governance and policy-making
2. Why educate public managers and policy analysts in the era of informatics
❖ Types of practitioner orientations to policy informatics
▪ two “ideal types” of policy informatics practitioner, require greater and greater levels of technical mastery of analytics techniques and approaches
❖ Policy informatics-savvy public managers
▪ need to know what kinds of questions that policy informatics projects or programs can answer or not answer
▪ need to know how to contract with and/or manage data managers, policy analysts, and modelers
❖ Second type of practitioners – policy informatics analysts
▪ need for policy analysts – move beyond basic surveys of research methods
❖ Applications to professional masters programs
▪ PA 301: Foundations of Public Administration
▪ PA 306: Policy Systems ▪ PA 308: Decision-Making Models ▪ PA 317: Systems Analysis and Strategic Management
3. The quality of social simulation: An example from research policy modeling
❖ Communicative skills, patience, willingness to compromise
▪ policy-making is driven by the need to solve societal problems
❖ Quality in social simulation
▪ develop models from a simulation as “an illusory appearance that manages a reality effect” (cf. Norris 1992)
❖ Assessing quality: the example – the SKIN approach
▪ policy modeling of SKIN – birth of the SKIN inspired by the idea of brin.
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This is only example
Create a fictitious company that uses
· Email (both encrypted and not),
· Hash values to verify documents,
· Databases that store
· corporate sensitive / proprietary information
· employee payroll, health records, etc.
· vendor information
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· other items as determined by the type of company
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You will need to complete the following:
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· What are common attacks and how will you protect against them?
· How have other similar companies dealt with this and with what results?
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Research paper:
· Research Paper must be in APA Style
· Research Paper must have at least 5 works cited of which 2 must be peer reviewed works/articles (note your book can be included as a reference)
· Must be at least 10 double-spaced pages with standard 1 inch margins.
· 6 – 8 pages of prose
· Limit the number of bulleted lists
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Public Administration and Information
Technology
Volume 10
Series Editor
Christopher G. Reddick
San Antonio, Texas, USA
[email protected]
More information about this series at http://www.springer.com/series/10796
[email protected]
Marijn Janssen • Maria A. Wimmer
Ameneh Deljoo
Editors
Policy Practice and Digital
Science
Integrating Complex Systems, Social
Simulation and Public Administration
in Policy Research
2123
[email protected]
Editors
Marijn Janssen Ameneh Deljoo
Faculty of Technology, Policy, and Faculty of Technology, Policy, and
Management Management
Delft University of Technology Delft University of Technology
Delft Delft
The Netherlands The Netherlands
Maria A. Wimmer
Institute for Information Systems Research
University of Koblenz-Landau
Koblenz
Germany
ISBN 978-3-319-12783-5 ISBN 978-3-319-12784-2 (eBook)
Public Administration and Information Technology
DOI 10.1007/978-3-319-12784-2
Library of Congress Control Number: 2014956771
Springer Cham Heidelberg New York London
© Springer International Publishing Switzerland 2015
This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the
material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation,
broadcasting, reproduction on microfilms or in any other physical way, and transmission or information
storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology
now known or hereafter developed.
The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication
does not imply, even in the absence of a specific s ...
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Evaluation is an analytical and organized process to figure out the present positive influences, favourable future prospects, existing shortcomings and ulterior complexities of any plan, program, practice or a policy. Evaluation of policy is an essential and vital process required to measure the performance or progression of the scheme. The main purpose of policy evaluation is to empower various stakeholders and enhance their socio-economic environment. A large number of policies or schemes in different areas are launched by government in view of citizen welfare. Although, the governmental policies intend to better shape up the life quality of people but may also impact their every day’s life. A latest governmental scheme Saubhagya launched by Indian government in 2017 has been selected for evaluation by applying opinion mining techniques. The data set of public opinion associated with this scheme has been captured by Twitter. The primary intent is to offer opinion mining as a smart city technology that harness the user-generated big data and analyse it to offer a sustainable governance model.
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DescriptionBanking DomainThis is only exampleCrea.docx
Description:
Banking Domain
This is only example
Create a fictitious company that uses
· Email (both encrypted and not),
· Hash values to verify documents,
· Databases that store
· corporate sensitive / proprietary information
· employee payroll, health records, etc.
· vendor information
· credit card information
· other items as determined by the type of company
These are main topics
You will need to complete the following:
· What methodology will you use to protect the data?
· What are the biggest challenges faced by companies using encryption?
· What are common attacks and how will you protect against them?
· How have other similar companies dealt with this and with what results?
· How will you test the method you choose?
· What are the expected outcomes?
· What new methods may be on the horizon that will help this industry?
Please note the following criteria:
Research paper:
· Research Paper must be in APA Style
· Research Paper must have at least 5 works cited of which 2 must be peer reviewed works/articles (note your book can be included as a reference)
· Must be at least 10 double-spaced pages with standard 1 inch margins.
· 6 – 8 pages of prose
· Limit the number of bulleted lists
· Prose + charts + figures = 10 pages
· Total report should be 13 pages
Public Administration and Information
Technology
Volume 10
Series Editor
Christopher G. Reddick
San Antonio, Texas, USA
[email protected]
More information about this series at http://www.springer.com/series/10796
[email protected]
Marijn Janssen • Maria A. Wimmer
Ameneh Deljoo
Editors
Policy Practice and Digital
Science
Integrating Complex Systems, Social
Simulation and Public Administration
in Policy Research
2123
[email protected]
Editors
Marijn Janssen Ameneh Deljoo
Faculty of Technology, Policy, and Faculty of Technology, Policy, and
Management Management
Delft University of Technology Delft University of Technology
Delft Delft
The Netherlands The Netherlands
Maria A. Wimmer
Institute for Information Systems Research
University of Koblenz-Landau
Koblenz
Germany
ISBN 978-3-319-12783-5 ISBN 978-3-319-12784-2 (eBook)
Public Administration and Information Technology
DOI 10.1007/978-3-319-12784-2
Library of Congress Control Number: 2014956771
Springer Cham Heidelberg New York London
© Springer International Publishing Switzerland 2015
This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the
material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation,
broadcasting, reproduction on microfilms or in any other physical way, and transmission or information
storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology
now known or hereafter developed.
The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication
does not imply, even in the absence of a specific s ...
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In this session we proceed to presentations and discussion concerning the the development of the new roadmap for digital government. Two projects (Gov3.0 and Big Policy Canvas) will join forces in this exciting endeavor.
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Unmasking deepfakes: A systematic review of deepfake detection and generation...
Due to the fast spread of data through digital media, individuals and societies must assess the reliability of information. Deepfakes are not a novel idea but they are now a widespread phenomenon. The impact of deepfakes and disinformation can range from infuriating individuals to affecting and misleading entire societies and even nations. There are several ways to detect and generate deepfakes online. By conducting a systematic literature analysis, in this study we explore automatic key detection and generation methods, frameworks, algorithms, and tools for identifying deepfakes (audio, images, and videos), and how these approaches can be employed within different situations to counter the spread of deepfakes and the generation of disinformation. Moreover, we explore state-of-the-art frameworks related to deepfakes to understand how emerging machine learning and deep learning approaches affect online disinformation. We also highlight practical challenges and trends in implementing policies to counter deepfakes. Finally, we provide policy recommendations based on analyzing how emerging artificial intelligence (AI) techniques can be employed to detect and generate deepfakes online. This study benefits the community and readers by providing a better understanding of recent developments in deepfake detection and generation frameworks. The study also sheds a light on the potential of AI in relation to deepfakes.
A governance perspective on user acceptance of autonomous systems in Singapore
Autonomous systems that operate without human intervention by utilising artificial intelligence are a significant feature of the fourth industrial revolution. Various autonomous systems, such as driverless cars, unmanned drones and robots, are being tested in ongoing trials and have even been adopted in some countries. While there has been a discussion of the benefits and risks of specific autonomous systems, more needs to be known about user acceptance of these systems. The reactions of the public, especially regarding novel technologies, can help policymakers better understand people's perspectives and needs, and involve them in decision-making for governance and regulation of autonomous systems. This study has examined the factors that influence the acceptance of autonomous systems by the public in Singapore, which is a forerunner in the adoption of autonomous systems. The Unified Technology Adoption and Use Theory (UTAUT) is modified by introducing the role of government and perceived risk in using the systems. Using structural equation modelling to analyse data from an online survey (n = 500) in Singapore, we find that performance expectancy, effort expectancy, social influence, and trust in government to govern autonomous systems significantly and positively impact the behavioural intention to use autonomous systems. Perceived risk has a negative relationship with user acceptance of autonomous systems. This study contributes to the literature by identifying latent variables that affect behavioural intention to use autonomous systems, especially by introducing the factor of trust in government to manage risks from the use of these systems and filling the gap by studying the entire domain of autonomous systems instead of a narrow focus on one application. The findings will enable policymakers to understand the perceptions of the public in regard to adoption and regulation, and designers and manufacturers to improve user experience.
The soft underbelly of complexity science adoption in policymaking
The deepening integration of social-technical systems creates immensely complex environments, creating increasingly uncertain and unpredictable circumstances. Given this context, policymakers have been encouraged to draw on complexity science-informed approaches in policymaking to help grapple with and manage the mounting complexity of the world. For nearly eighty years, complexity-informed approaches have been promising to change how our complex systems are understood and managed, ultimately assisting in better policymaking. Despite the potential of complexity science, in practice, its use often remains limited to a few specialised domains and has not become part and parcel of the mainstream policy debate. To understand why this might be the case, we question why complexity science remains nascent and not integrated into the core of policymaking. Specifically, we ask what the non-technical challenges and barriers are preventing the adoption of complexity science into policymaking. To address this question, we conducted an extensive literature review. We collected the scattered fragments of text that discussed the non-technical challenges related to the use of complexity science in policymaking and stitched these fragments into a structured framework by synthesising our findings. Our framework consists of three thematic groupings of the non-technical challenges: (a) management, cost, and adoption challenges; (b) limited trust, communication, and acceptance; and (c) ethical barriers. For each broad challenge identified, we propose a mitigation strategy to facilitate the adoption of complexity science into policymaking. We conclude with a call for action to integrate complexity science into policymaking further.
Development of New Generation of Artificial Intelligence in China
How did China become one of the leaders in AI development, and will China prevail in the ongoing AI race with the US? Existing studies have focused on the Chinese central government’s role in promoting AI. Notwithstanding the importance of the central government, a significant portion of the responsibility for AI development falls on local governments’ shoulders. Local governments have diverging interests, capacities and, therefore, approaches to promoting AI. This poses an important question: How do local governments respond to the central government’s policies on emerging technologies, such as AI? This article answers this question by examining the convergence or divergence of central and local priorities related to AI development by analysing the central and local AI policy documents and the provincial variations by focusing on the diffusion of the New Generation Artificial Intelligence Development Plan (NGAIDP) in China. Using a unique dataset of China’s provincial AI-related policies that cite the NGAIDP, the nature of diffusion of the NGAIDP is examined by conducting content analysis and fuzzy-set Qualitative Comparative Analysis (fsQCA). This study highlights the important role of local governments in China’s AI development and emphasises examining policy diffusion as a political process.
Governing disruptive technologies for inclusive development in cities
Abstract
Cities are increasingly adopting advanced technologies to address complex challenges. Applying technologies such as information and communication technology, artificial intelligence, big data analytics, and autonomous systems in cities' design, planning, and management can cause disruptive changes in their social, economic, and environmental composition. Through a systematic literature review, this research develops a conceptual model linking (1) the dominant city labels relating to tech-driven urban development, (2) the characteristics and applications of disruptive technologies, and (3) the current understanding of inclusive urban development. We extend the discussion by identifying and incorporating the motivations behind adopting disruptive technologies and the challenges they present to inclusive development. We find that inclusive development in tech-driven cities can be realised if governments develop suitable adaptive regulatory frameworks for involving technology companies, build policy capacity, and adopt more adaptive models of governance. We also stress the importance of acknowledging the influence of digital literacy and smart citizenship, and exploring other dimensions of inclusivity, for governing disruptive technologies in inclusive smart cities.
Why and how is the power of big teach increasing?
Abstract: The growing digitalization of our society has led to a meteoric rise of large technology companies (Big Tech), which have amassed tremendous wealth and influence through their ownership of digital infrastructure and platforms. The recent launch of ChatGPT and the rapid popularization of generative artificial intelligence (GenAI) act as a focusing event to further accelerate the concentration of power in the hands of the Big Tech. By using Kingdon’s multiple streams framework, this article investigates how Big Tech utilize their technological monopoly and political influence to reshape the policy landscape and establish themselves as key actors in the policy process. It explores the implications of the rise of Big Tech for policy theory in two ways. First, it develops the Big Tech-centric technology stream, highlighting the differing motivations and activities from the traditional innovation-centric technology stream. Second, it underscores the universality of Big Tech exerting ubiquitous influence within and across streams, to primarily serve their self-interests rather than promote innovation. Our findings emphasize the need for a more critical exploration of policy role of Big Tech to ensure balanced and effective policy outcomes in the age of AI.
Keywords: generative AI, governance, artificial intelligence, big tech, multiple streams framework
Sustainable energy adoption in poor rural areas
Abstract
A growing body of literature recognises the role of local participation by end users in the successful implementation of sustainable development projects. Such community-based initiatives are widely assumed to be beneficial in providing additional savings, increasing knowledge and skills, and improving social cohesion. However, there is a lack of empirical evidence regarding the success (or failure) of such projects, as well as a lack of formal impact assessment methodologies that can be used to assess their effectiveness in meeting the needs of communities. Using a case study approach, we investigate the effectiveness of community-based energy projects in regard to achieving long-term renewable energy technology (RET) adoption in energy-poor island communities in the Philippines. This paper provides an alternative analytical framework for assessing the impact of community-based energy projects by defining RET adoption as a continuous and relational process that co-evolves and co-produces over time, highlighting the role of social capital in the long-term RET adoption process. In addition, by using the Social Impact Assessment methodology, we study off-grid, disaster-vulnerable and energy-poor communities in the Philippines and we assess community renewable energy (RE) projects implemented in those communities. We analyse the nature of participation in the RET adoption process, the social relations and interactions formed between and among the different stakeholders, and the characteristics, patterns and challenges of the adoption process.
Highlights
• Community-based approaches aid state-led renewable energy in off-grid areas.
• Social capital in communities addresses immediate energy needs in affected areas.
• Change Mapping in Social Impact Assessment shows community-based RE project impacts.
• Long-term renewable energy adoption involves co-evolving hardware, software, orgware.
• Successful adoption relies on communal mechanisms to sustain renewable energy systems.
Smart cities as spatial manifestations of 21st century capitalism
Globally, smart cities attract billions of dollars in investment annually, with related market opportunities forecast to grow year-on-year. The enormous resources poured into their development consist of financial capital, but also natural, human and social resources converted into infrastructure and real estate. The latter act as physical capital storage and sites for the creation of digital products and services expected to generate the highest value added. Smart cities serve as temporary spatial fixes until new and better investments opportunities emerge. Drawing from a comprehensive range of publications on capitalism, this article analyzes smart city developments as typifier of 21st century capital accumulation where the financialization of various capitals is the overarching driver and ecological overshoot and socio-economic undershoot are the main negative consequences. It closely examines six spatial manifestations of the smart city – science parks and smart campuses; innovation districts; smart neighborhoods; city-wide and city-regional smart initiatives; urban platforms; and alternative smart city spaces – as receptacles for the conversion of various capitals. It also considers the influence of different national regimes and institutional contexts on smart city developments. This is used, in the final part, to open a discussion about opportunities to temper the excesses of 21st century capitalism.
Highlights
• Recent academic literature on modern capitalism and smart city development are brought together
• Different interpretations and denominations of 21th century capitalism are mapped and synthesized into an overview box
• Six spatial manifestations of the smart city are identified and thoroughly described, with their major institutions, actors and resources
• Five different types of capital (natural, human, social, physical and financial) are mapped, along with an analysis of how further financialization affects conversion processes between them
• Options to mitigate exclusionary tendencies of capitalism in the digital age are explored, based on the varieties of capitalism literature
Digital Ethics for Biometric Applications in a Smart City
From border control using fingerprints to law enforcement with video surveillance to self-activating devices via voice identification, biometric data is used in many applications in the contemporary context of a Smart City. Biometric data consists of human characteristics that can identify one person from others. Given the advent of big data and the ability to collect large amounts of data about people, data sources ranging from fingerprints to typing patterns can build an identifying profile of a person. In this article, we examine different types of biometric data used in a smart city based on a framework that differentiates between profile initialization and identification processes. Then, we discuss digital ethics within the usage of biometric data along the lines of data permissibility and renewability. Finally, we provide suggestions for improving biometric data collection and processing in the modern smart city.
A realist synthesis to develop an explanatory model of how policy instruments...
Abstract
Background
Child and maternal health, a key marker of overall health system performance, is a policy priority area by the World Health Organization and the United Nations, including the Sustainable Development Goals. Previous realist work has linked child and maternal health outcomes to globalization, political tradition, and the welfare state. It is important to explore the role of other key policy-related factors. This paper presents a realist synthesis, categorising policy instruments according to the established NATO model, to develop an explanatory model of how policy instruments impact child and maternal health outcomes.
Methods
A systematic literature search was conducted to identify studies assessing the relationships between policy instruments and child and maternal health outcomes. Data were analysed using a realist framework. The first stage of the realist analysis process was to generate micro-theoretical initial programme theories for use in the theory adjudication process. Proposed theories were then adjudicated iteratively to produce a set of final programme theories.
Findings
From a total of 43,415 unique records, 632 records proceeded to full-text screening and 138 papers were included in the review. Evidence from 132 studies was available to address this research question. Studies were published from 1995 to 2021; 76% assessed a single country, and 81% analysed data at the ecological level. Eighty-eight initial candidate programme theories were generated. Following theory adjudication, five final programme theories were supported. According to the NATO model, these were related to treasure, organisation, authority-treasure, and treasure-organisation instrument types.
Conclusions
This paper presents a realist synthesis to develop an explanatory model of how policy instruments impact child and maternal health outcomes from a large, systematically identified international body of evidence. Five final programme theories were supported, showing how policy instruments play an important yet context-dependent role in influencing child and maternal health outcomes.
Addressing Policy Challenges of Disruptive Technologies
This special issue examines the policy challenges and government responses to disruptive technologies. It explores the risks, benefits, and trade-offs of deploying disruptive technologies, and examines the efficacy of traditional governance approaches and the need for new regulatory and governance frameworks. Key themes include the need for government stewardship, taking adaptive and proactive approaches, developing comprehensive policies accounting for technical, social, economic, and political dimensions, conducting interdisciplinary research, and addressing data management and privacy challenges. The findings enhance understanding of how governments can navigate the complexities of disruptive technologies and develop policies to maximize benefits and mitigate risks.
Navigating the governance challenges of disruptive technologies insights from...
The proliferation of autonomous systems like unmanned aerial vehicles, autonomous vehicles and AI-powered industrial and social robots can benefit society significantly, but these systems also present significant governance challenges in operational, legal, economic, social, and ethical dimensions. Singapore’s role as a front-runner in the trial of autonomous systems presents an insightful case to study whether the current provisional regulations address the challenges. With multiple stakeholder involvement in setting provisional regulations, government stewardship is essential for coordinating robust regulation and helping to address complex issues such as ethical dilemmas and social connectedness in governing autonomous systems.
A scoping review of the impacts of COVID-19 physical distancing measures on v...
Most governments have enacted physical or social distancing measures to control COVID-19 transmission. Yet little is known about the socio-economic trade-offs of these measures, especially for vulnerable populations, who are exposed to increased risks and are susceptible to adverse health outcomes. To examine the impacts of physical distancing measures on the most vulnerable in society, this scoping review screened 39,816 records and synthesised results from 265 studies worldwide documenting the negative impacts of physical distancing on older people, children/students, low-income populations, migrant workers, people in prison, people with disabilities, sex workers, victims of domestic violence, refugees, ethnic minorities, and people from sexual and gender minorities. We show that prolonged loneliness, mental distress, unemployment, income loss, food insecurity, widened inequality and disruption of access to social support and health services were unintended consequences of physical distancing that impacted these vulnerable groups and highlight that physical distancing measures exacerbated the vulnerabilities of different vulnerable populations.
Data Sharing in Disruptive Technologies Lessons from Adoption of Autonomous S...
Autonomous systems have been a key segment of disruptive technologies for which data are constantly collected, processed, and shared to enable their operations. The internet of things facilitates the storage and transmission of data and data sharing is vital to power their development. However, privacy, cybersecurity, and trust issues have ramifications that form distinct and unforeseen barriers to sharing data. This paper identifies six types of barriers to data sharing (technical, motivational, economic, political, legal, and ethical), examines strategies to overcome these barriers in different autonomous systems, and proposes recommendations to address them. We traced the steps the Singapore government has taken through regulations and frameworks for autonomous systems to overcome barriers to data sharing. The results suggest specific strategies for autonomous systems as well as generic strategies that apply to a broader set of disruptive technologies. To address technical barriers, data sharing within regulatory sandboxes should be promoted. Promoting public-private collaborations will help in overcoming motivational barriers. Resources and analytical capacity must be ramped up to overcome economic barriers. Advancing comprehensive data sharing guidelines and discretionary privacy laws will help overcome political and legal barriers. Further, enforcement of ethical analysis is necessary for overcoming ethical barriers in data sharing. Insights gained from this study will have implications for other jurisdictions keen to maximize data sharing to increase the potential of disruptive technologies such as autonomous systems in solving urban problems.
Call for papers - ICPP6 T13P05 - PLATFORM GOVERNANCE IN TURBULENT TIMES.docx
CALL FOR PAPERS
T13P05 - PLATFORM GOVERNANCE IN TURBULENT TIMES
https://www.ippapublicpolicy.org/conference/icpp6-toronto-2023/panel-list/17/panel/platform-governance-in-turbulent-times/1428
Abstract submission deadline: 31 January 2023
GENERAL OBJECTIVES, RESEARCH QUESTIONS AND SCIENTIFIC RELEVANCE
Platforms significantly increase the ease of interactions and transactions in our societies. Crowdsourcing and sharing economy platforms, for instance, enable interactions between various groups ranging from casual exchanges among friends and colleagues to the provision of goods, services, and employment opportunities (Taeihagh 2017a). Platforms can also facilitate civic engagements and allow public agencies to derive insights from a critical mass of citizens (Prpić et al. 2015; Taeihagh 2017b). More recently, governments have experimented with blockchain-enabled platforms in areas such as e-voting, digital identity and storing public records (Kshetri and Voas, 2018; Taş & Tanrıöver, 2020; Sullivan and Burger, 2019; Das et al., 2022).
How platforms are implemented and managed can introduce various risks. Platforms can diminish accountability, reduce individual job security, widen the digital divide and inequality, undermine privacy, and be manipulated (Taeihagh 2017a; Loukis et al. 2017; Hautamäki & Oksanen 2018; Ng and Taeihagh 2021). Data collected by platforms, how platforms conduct themselves, and the level of oversight they provide on the activities conducted within them by users, service providers, producers, employers, and advertisers have significant consequences ranging from privacy and ethical concerns to affecting outcomes of elections. Fake news on social media platforms has become a contentious public issue as social media platforms offer third parties various digital tools and strategies that allow them to spread disinformation to achieve self-serving economic and political interests and distort and polarise public opinion (Ng and Taeihagh 2021). The risks and threats of AI-curated and generated content, such as a Generative Pre-Trained Transformer (GPT-3) (Brown et al., 2020) and generative adversarial networks (GANs) are also on the rise (Goodfellow et al., 2014) while there are new emerging risks due to the adoption of blockchain technology such as security vulnerabilities, privacy concerns (Trump et al. 2018; Mattila & Seppälä 2018; Das et al. 2022).
The adoption of platforms was further accelerated by COVID-19, highlighting their governance challenges.
Call for papers - ICPP6 T13P03 - GOVERNANCE AND POLICY DESIGN LESSONS FOR TRU...
CALL FOR PAPERS
T13P03 - GOVERNANCE AND POLICY DESIGN LESSONS FOR TRUST BUILDING AND RESPONSIBLE USE OF AI, AUTONOMOUS SYSTEMS AND ROBOTICS
https://www.ippapublicpolicy.org/conference/icpp6-toronto-2023/panel-list/17/panel/governance-and-policy-design-lessons-for-trust-building-and-responsible-use-of-ai-autonomous-systems-and-robotics/1390
Abstract submission deadline: 31 January 2023
GENERAL OBJECTIVES, RESEARCH QUESTIONS AND SCIENTIFIC RELEVANCE
Artificial intelligence (AI), Autonomous Systems (AS) and Robotics are key features of the fourth industrial revolution, and their applications are supposed to add $15 trillion to the global economy by 2030 and improve the efficiency and quality of public service delivery (Miller & Sterling, 2019). A McKinsey global survey found that over half of the organisations surveyed use AI in at least one function (McKinsey, 2020). The societal benefits of AI, AS, and Robotics have been widely acknowledged (Buchanan 2005; Taeihagh & Lim 2019; Ramchurn et al. 2012), and the acceleration of their deployment is a disruptive change impacting jobs, the economic and military power of countries, and wealth concentration in the hands of corporations (Pettigrew et al., 2018; Perry & Uuk, 2019).
However, the rapid adoption of these technologies threatens to outpace the regulatory responses of governments around the world, which must grapple with the increasing magnitude and speed of these transformations (Taeihagh 2021). Furthermore, concerns about these systems' deployment risks and unintended consequences are significant for citizens and policymakers. Potential risks include malfunctioning, malicious attacks, and objective mismatch due to software or hardware failures (Page et al., 2018; Lim and Taeihagh, 2019; Tan et al., 2022). There are also safety, liability, privacy, cybersecurity, and industry risks that are difficult to address (Taeihagh & Lim, 2019) and The opacity in AI operations has also manifested in potential bias against certain groups of individuals that lead to unfair outcomes (Lim and Taeihagh 2019; Chesterman, 2021).
These risks require appropriate governance mechanisms to be mitigated, and traditional policy instruments may be ineffective due to insufficient information on industry developments, technological and regulatory uncertainties, coordination challenges between multiple regulatory bodies and the opacity of the underlying technology (Scherer 2016; Guihot et al. 2017; Taeihagh et al. 2021), which necessitate the use of more nuanced approaches to govern these systems. Subsequently, the demand for the governance of these systems has been increasing (Danks & London, 2017; Taeihagh, 2021).
What factors drive policy transfer in smart city development
Abstract
Smart city initiatives are viewed as an input to existing urban systems to solve various problems faced by modern cities. Making cities smarter implies not only technological innovation and deployment, but also having smart people and effective policies. Cities can acquire knowledge and incorporate governance lessons from other jurisdictions to develop smart city initiatives that are unique to the local contexts. We conducted two rounds of surveys involving 23 experts on an e-Delphi platform to consolidate their opinion on factors that facilitate policy transfer among smart cities. Findings show a consensus on the importance of six factors: having a policy entrepreneur; financial instruments; cities’ enthusiasm for policy learning; capacity building; explicit regulatory mechanisms; and policy adaptation to local contexts. Correspondingly, three policy recommendations were drawn. Formalizing collaborative mechanisms and joint partnerships between cities, setting up regional or international networks of smart cities, and establishing smart city repositories to collect useful case studies for urban planning and governance lessons will accelerate policy transfer for smart city development. This study sheds light on effective ways policymakers can foster policy learning and transfer, especially when a jurisdiction's capacity is insufficient to deal with the uncertainties and challenges ahead.
Perspective on research–policy interface as a partnership: The study of best ...
This article serves as a blueprint and proof-of-concept of Singapore’s Campus for Research Excellence and Technological Enterprise (CREATE) programmes in establishing effective collaborations with governmental partners. CREATE is a research consortium between Singapore’s public universities and international research institutions. The effective partnership of CREATE partners with government stakeholders is part of its mission to help government agencies solve complex issues in areas that reflect Singapore’s national interest. Projects are developed in consultation with stakeholders, and challenges are addressed on a scale that enables significant impact and provides solutions for Singapore and internationally. The article discusses the lessons learnt, highlighting that while research–policy partnerships are widespread, they are seldom documented. Moreover, effective communication proved to be a foundation for an effective partnership where policy and research partners were more likely to provide formal and informal feedback. Engaging policy partners early in the research co-development process was beneficial in establishing effective partnerships.
Whither policy innovation? Mapping conceptual engagement with public policy i...
Abstract
A transition to sustainable energy will require not only technological diffusion and behavioral change, but also policy innovation. While research on energy transitions has generated an extensive literature, the extent to which it has used the policy innovation perspective – entailing policy entrepreneurship or invention, policy diffusion, and policy success – remains unclear. This study analyzes over 8000 publications on energy transitions through a bibliometric review and computational text analysis to create an overview of the scholarship, map conceptual engagement with public policy, and identify the use of the policy innovation lens in the literature. We find that: (i) though the importance of public policy is frequently highlighted in the research, the public policy itself is analyzed only occasionally; (ii) studies focusing on public policy have primarily engaged with the concepts of policy mixes, policy change, and policy process; and (iii) the notions of policy entrepreneurship or invention, policy diffusion, and policy success are hardly employed to understand the sources, speed, spread, or successes of energy transitions. We conclude that the value of the policy innovation lens for energy transitions research remains untapped and propose avenues for scholars to harness this potential.
Governance of artificial intelligence
The rapid developments in Artificial Intelligence (AI) and the intensification in the adoption of AI in domains such as autonomous vehicles, lethal weapon systems, robotics and alike pose serious challenges to governments as they must manage the scale and speed of socio-technical transitions occurring. While there is considerable literature emerging on various aspects of AI, governance of AI is a significantly underdeveloped area. The new applications of AI offer opportunities for increasing economic efficiency and quality of life, but they also generate unexpected and unintended consequences and pose new forms of risks that need to be addressed. To enhance the benefits from AI while minimising the adverse risks, governments worldwide need to understand better the scope and depth of the risks posed and develop regulatory and governance processes and structures to address these challenges. This introductory article unpacks AI and describes why the Governance of AI should be gaining far more attention given the myriad of challenges it presents. It then summarises the special issue articles and highlights their key contributions. This special issue introduces the multifaceted challenges of governance of AI, including emerging governance approaches to AI, policy capacity building, exploring legal and regulatory challenges of AI and Robotics, and outstanding issues and gaps that need attention. The special issue showcases the state-of-the-art in the governance of AI, aiming to enable researchers and practitioners to appreciate the challenges and complexities of AI governance and highlight future avenues for exploration.
More from Araz Taeihagh (20)
Unmasking deepfakes: A systematic review of deepfake detection and generation...
Unmasking deepfakes: A systematic review of deepfake detection and generation...
A governance perspective on user acceptance of autonomous systems in Singapore
A governance perspective on user acceptance of autonomous systems in Singapore
The soft underbelly of complexity science adoption in policymaking
The soft underbelly of complexity science adoption in policymaking
Development of New Generation of Artificial Intelligence in China
Development of New Generation of Artificial Intelligence in China
Governing disruptive technologies for inclusive development in cities
Governing disruptive technologies for inclusive development in cities
Smart cities as spatial manifestations of 21st century capitalism
Smart cities as spatial manifestations of 21st century capitalism
Digital Ethics for Biometric Applications in a Smart City
Digital Ethics for Biometric Applications in a Smart City
A realist synthesis to develop an explanatory model of how policy instruments...
A realist synthesis to develop an explanatory model of how policy instruments...
Addressing Policy Challenges of Disruptive Technologies
Addressing Policy Challenges of Disruptive Technologies
Navigating the governance challenges of disruptive technologies insights from...
Navigating the governance challenges of disruptive technologies insights from...
A scoping review of the impacts of COVID-19 physical distancing measures on v...
A scoping review of the impacts of COVID-19 physical distancing measures on v...
Data Sharing in Disruptive Technologies Lessons from Adoption of Autonomous S...
Data Sharing in Disruptive Technologies Lessons from Adoption of Autonomous S...
Call for papers - ICPP6 T13P05 - PLATFORM GOVERNANCE IN TURBULENT TIMES.docx
Call for papers - ICPP6 T13P05 - PLATFORM GOVERNANCE IN TURBULENT TIMES.docx
Call for papers - ICPP6 T13P03 - GOVERNANCE AND POLICY DESIGN LESSONS FOR TRU...
Call for papers - ICPP6 T13P03 - GOVERNANCE AND POLICY DESIGN LESSONS FOR TRU...
What factors drive policy transfer in smart city development
What factors drive policy transfer in smart city development
Perspective on research–policy interface as a partnership: The study of best ...
Perspective on research–policy interface as a partnership: The study of best ...
Whither policy innovation? Mapping conceptual engagement with public policy i...
Whither policy innovation? Mapping conceptual engagement with public policy i...
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Preliminary findings from OECD field visits for the project: Enhancing EU Mining Regional Ecosystems to Support the Green Transition and Secure Mineral Raw Materials Supply.
Donate to charity during this holiday season
For people who have money and are philanthropic, there are infinite opportunities to gift a needy person or child a Merry Christmas. Even if you are living on a shoestring budget, you will be surprised at how much you can do.
Donate Us
https://serudsindia.org/how-to-donate-to-charity-during-this-holiday-season/
#charityforchildren, #donateforchildren, #donateclothesforchildren, #donatebooksforchildren, #donatetoysforchildren, #sponsorforchildren, #sponsorclothesforchildren, #sponsorbooksforchildren, #sponsortoysforchildren, #seruds, #kurnool
A guide to the International day of Potatoes 2024 - May 30th
Food and Agricultural Organization (FAO)
如何办理(uoit毕业证书)加拿大安大略理工大学毕业证文凭证书录取通知原版一模一样
原版纸张【微信：741003700 】【(uoit毕业证书)加拿大安大略理工大学毕业证】【微信：741003700 】学位证，留信认证（真实可查，永久存档）offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原海外各大学 Bachelor Diploma degree, Master Degree Diploma
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
State crafting: Changes and challenges for managing the public finances
Presentation at Resolution Foundation event putting the public finances into context ahead of the next election.
2024: The FAR - Federal Acquisition Regulations, Part 39
Jennifer Schaus and Associates hosts a complimentary webinar series on The FAR in 2024. Join the webinars on Wednesdays and Fridays at noon, eastern.
Recordings are on YouTube and the company website.
https://www.youtube.com/@jenniferschaus/videos
Transit-Oriented Development Study Working Group Meeting
This presentation on TOD best practices and model zoning was shared with the Cuyahoga County TOD working group on June 5, 2024.
Monitoring Health for the SDGs - Global Health Statistics 2024 - WHO
The 2024 World Health Statistics edition reviews more than 50 health-related indicators from the Sustainable Development Goals and WHO’s Thirteenth General Programme of Work. It also highlights the findings from the Global health estimates 2021, notably the impact of the COVID-19 pandemic on life expectancy and healthy life expectancy.
A Guide to AI for Smarter Nonprofits - Dr. Cori Faklaris, UNC Charlotte
A Guide to AI for Smarter Nonprofits - Dr. Cori Faklaris, UNC CharlotteUniversity of North Carolina at Charlotte
Working with data is a challenge for many organizations. Nonprofits in particular may need to collect and analyze sensitive, incomplete, and/or biased historical data about people. In this talk, Dr. Cori Faklaris of UNC Charlotte provides an overview of current AI capabilities and weaknesses to consider when integrating current AI technologies into the data workflow. The talk is organized around three takeaways: (1) For better or sometimes worse, AI provides you with “infinite interns.” (2) Give people permission & guardrails to learn what works with these “interns” and what doesn’t. (3) Create a roadmap for adding in more AI to assist nonprofit work, along with strategies for bias mitigation.
Opinions on EVs: Metro Atlanta Speaks 2023
Presents in chart form results of questions related to electric vehicles from 2023 Metro Atlanta Speaks survey of the Atlanta Regional Commission
2017 Omnibus Rules on Appointments and Other Human Resource Actions, As Amended
2017 Omnibus Rules on Appointments and Other Human Resource Actions,
As Amended
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CBO’s Outlook for U.S. Fertility Rates: 2024 to 2054
CBO’s Outlook for U.S. Fertility Rates: 2024 to 2054
2024: The FAR - Federal Acquisition Regulations, Part 38
2024: The FAR - Federal Acquisition Regulations, Part 38
About Potato, The scientific name of the plant is Solanum tuberosum (L).
About Potato, The scientific name of the plant is Solanum tuberosum (L).
Preliminary findings _OECD field visits to ten regions in the TSI EU mining r...
Preliminary findings _OECD field visits to ten regions in the TSI EU mining r...
A guide to the International day of Potatoes 2024 - May 30th
A guide to the International day of Potatoes 2024 - May 30th
State crafting: Changes and challenges for managing the public finances
State crafting: Changes and challenges for managing the public finances
2024: The FAR - Federal Acquisition Regulations, Part 39
2024: The FAR - Federal Acquisition Regulations, Part 39
Transit-Oriented Development Study Working Group Meeting
Transit-Oriented Development Study Working Group Meeting
Monitoring Health for the SDGs - Global Health Statistics 2024 - WHO
Monitoring Health for the SDGs - Global Health Statistics 2024 - WHO
A Guide to AI for Smarter Nonprofits - Dr. Cori Faklaris, UNC Charlotte
A Guide to AI for Smarter Nonprofits - Dr. Cori Faklaris, UNC Charlotte
2017 Omnibus Rules on Appointments and Other Human Resource Actions, As Amended
2017 Omnibus Rules on Appointments and Other Human Resource Actions, As Amended
Call for papers - ICPP6 T07P01 - EXPLORING TECHNOLOGIES FOR POLICY ADVICE.docx
- 1. CALL FOR PAPERS T07P01 - EXPLORING TECHNOLOGIES FOR POLICY ADVICE https://www.ippapublicpolicy.org/conference/icpp6-toronto-2023/panel-list/17/panel/exploring-technologies-for- policy-advice/1295 Abstract submission deadline: 31 January 2023 GENERAL OBJECTIVES, RESEARCH QUESTIONS AND SCIENTIFIC RELEVANCE Knowledge and expertise are key components of policy-making and policy design, and many institutions and processes exist – universities, professional policy analysts, think tanks, policy labs, etc. – to generate and mobilize knowledge for effective policies and policy-making. Despite many years of research, however. many critical ssues remain unexplored, including the nature of knowledge and non-knowledge, how policy advice is organized into advisory systems or regimes, and when and how specific types of knowledge or evidence are transmitted and influence policy development and implementation. These long-standing issues have been joined recently by use of Artificial Intelligence and Big data, and other kinds of technological developments – such as crowdsourcing through open collaboration platforms, virtual labour markets, and tournaments – which hold out the promise of automating, enhancing. or expanding policy advisory activities in government. This panel seeks to explore all aspects of the application of current and future technologies to policy advice, including case studies of its deployment as well as theoretical and conceptual studies dealing with moral, epistemological and other issues surrounding its use. CALL FOR PAPERS You are invited to submit proposals for papers on different aspects of emerging technoglies for assisting in generation and dissemination of policy advice. The panel will explore all aspects of the application of current and future technologies to policy advice, including case studies of its deployment as well as theoretical and conceptual studies dealing with moral, epistemological, political, technical and other issues surrounding its use. Knowledge and expertise are key components of policy-making and policy design, and many institutions and processes exist – universities, professional policy analysts, think tanks, policy labs, etc. – to
- 2. 2 generate and mobilize knowledge for effective policies and policy-making. Despite many years of research, however, many critical issues remain unexplored, including the nature of knowledge and non-knowledge, how policy advice is organized into advisory systems or regimes, and when and how specific types of knowledge or evidence are transmitted to influence policy development and implementation. These long-standing issues have been joined recently by the use of Artificial Intelligence and Big data and other kinds of technological developments – such as crowdsourcing through open collaboration platforms, virtual labour markets, and tournaments – which hold out the promise of automating, enhancing. or expanding policy advisory activities in government. Papers on both longer-term and more recent issues surrounding policy advice, and related topics, are welcome. Abstract submission deadline (up to 500 words) 31 January 2023