Digital Technologies and Public Procurement
Digital Technologies and Public Procurement

Author: Albert Sanchez-Graells

Publisher: Oxford University Press

Published: 2024-01-10

Total Pages: 488

ISBN-13: 019263660X

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The digital transformation of the public sector has accelerated. States are experimenting with technology, seeking more streamlined and efficient digital government and public services. However, there are significant concerns about the risks and harms to individual and collective rights under new modes of digital public governance. Several jurisdictions are attempting to regulate digital technologies, especially artificial intelligence, however regulatory effort primarily concentrates on technology use by companies, not by governments. The regulatory gap underpinning public sector digitalisation is growing. As it controls the acquisition of digital technologies, public procurement has emerged as a 'regulatory fix' to govern public sector digitalisation. It seeks to ensure through its contracts that public sector digitalisation is trustworthy, ethical, responsible, transparent, fair, and (cyber) safe. However, in Digital Technologies and Public Procurement: Gatekeeping and Experimentation in Digital Public Governance, Albert Sanchez-Graells argues that procurement cannot perform this gatekeeping role effectively. Through a detailed case study of procurement digitalisation as a site of unregulated technological experimentation, he demonstrates that relying on 'regulation by contract' creates a false sense of security in governing the transition towards digital public governance. This leaves the public sector exposed to the 'policy irresistibility' that surrounds hyped digital technologies. Bringing together insights from political economy, public policy, science, technology, and legal scholarship, this thought-provoking book proposes an alternative regulatory approach and contributes to broader debates of digital constitutionalism and digital technology regulation.

Handbook of Public Service Delivery
Handbook of Public Service Delivery

Author: Christopher G. Reddick

Publisher: Edward Elgar Publishing

Published: 2024-09-06

Total Pages: 439

ISBN-13: 1035315319

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Adopting an integrated approach, this Handbook examines the design, organization, implementation and evaluation of public service delivery. Emphasizing the complex and dynamic nature of public services, it draws on cutting-edge research to identify responses to the unique challenges of the field.

OECD Public Governance Reviews Strengthening Oversight of the Court of Auditors for Effective Public Procurement in Portugal Digital Transformation and Data-driven Risk Assessments
OECD Public Governance Reviews Strengthening Oversight of the Court of Auditors for Effective Public Procurement in Portugal Digital Transformation and Data-driven Risk Assessments

Author: OECD

Publisher: OECD Publishing

Published: 2024-06-28

Total Pages: 100

ISBN-13: 9264387234

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This report looks at efforts by Portugal’s Court of Auditors (Tribunal de Contas, TdC) to make better use of data and analytics in assessing risks in public procurement. It identifies key financial and non-financial risks to refine the TdC’s audit selection process and increase the effectiveness and efficiency of the public procurement system. The report provides recommendations for improving and maintaining data-driven risk assessments that align with the TdC’s Digital Transformation Strategy. The report also includes a data-mapping exercise and data reliability assessment in preparation for the next phase of the project, which includes developing a working model to detect procurement risks and irregularities using real-world data.

Too Big to Ignore
Too Big to Ignore

Author: Phil Simon

Publisher: John Wiley & Sons

Published: 2013-03-05

Total Pages: 256

ISBN-13: 1118641868

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Residents in Boston, Massachusetts are automatically reporting potholes and road hazards via their smartphones. Progressive Insurance tracks real-time customer driving patterns and uses that information to offer rates truly commensurate with individual safety. Google accurately predicts local flu outbreaks based upon thousands of user search queries. Amazon provides remarkably insightful, relevant, and timely product recommendations to its hundreds of millions of customers. Quantcast lets companies target precise audiences and key demographics throughout the Web. NASA runs contests via gamification site TopCoder, awarding prizes to those with the most innovative and cost-effective solutions to its problems. Explorys offers penetrating and previously unknown insights into healthcare behavior. How do these organizations and municipalities do it? Technology is certainly a big part, but in each case the answer lies deeper than that. Individuals at these organizations have realized that they don't have to be Nate Silver to reap massive benefits from today's new and emerging types of data. And each of these organizations has embraced Big Data, allowing them to make astute and otherwise impossible observations, actions, and predictions. It's time to start thinking big. In Too Big to Ignore, recognized technology expert and award-winning author Phil Simon explores an unassailably important trend: Big Data, the massive amounts, new types, and multifaceted sources of information streaming at us faster than ever. Never before have we seen data with the volume, velocity, and variety of today. Big Data is no temporary blip of fad. In fact, it is only going to intensify in the coming years, and its ramifications for the future of business are impossible to overstate. Too Big to Ignore explains why Big Data is a big deal. Simon provides commonsense, jargon-free advice for people and organizations looking to understand and leverage Big Data. Rife with case studies, examples, analysis, and quotes from real-world Big Data practitioners, the book is required reading for chief executives, company owners, industry leaders, and business professionals.

OECD Economic Surveys: Japan 2024
OECD Economic Surveys: Japan 2024

Author: OECD

Publisher: OECD Publishing

Published: 2024-01-11

Total Pages: 126

ISBN-13: 9264586970

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Japan has navigated the dual shock of the pandemic and the energy crisis well. However, significant headwinds from weak global growth, geopolitical tensions and high inflation highlight the importance of enhancing the Japanese economy’s resilience to shocks. In a context of inflation, which has risen above target, and pressures from divergent monetary policy from peers, adjustments to monetary policy settings have commenced. Given high public debt, fiscal consolidation to rebuild fiscal buffers, underpinned by a credible medium-term fiscal framework to put the debt-to-GDP ratio on a clear downward path, is key. Longer-term sustainability also requires reducing greenhouse gas emissions in line with government targets, calling for green investment, innovation and carbon pricing. Reforms to improve the innovation framework and incentives for start-ups are key to boost productivity and address ageing pressures. Removing obstacles to the employment of women and older persons and making greater use of foreign workers are also essential to counter demographic headwinds. Strengthening the financial position of young people and policies to support families and children, such as improved parental leave, would help to reverse the downward trend in the fertility rate. SPECIAL FEATURE: ADDRESSING DEMOGRAPHIC HEADWINDS

Putting Auction Theory to Work
Putting Auction Theory to Work

Author: Paul Milgrom

Publisher: Cambridge University Press

Published: 2004-01-12

Total Pages: 378

ISBN-13: 1139449168

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This book provides a comprehensive introduction to modern auction theory and its important new applications. It is written by a leading economic theorist whose suggestions guided the creation of the new spectrum auction designs. Aimed at graduate students and professionals in economics, the book gives the most up-to-date treatments of both traditional theories of 'optimal auctions' and newer theories of multi-unit auctions and package auctions, and shows by example how these theories are used. The analysis explores the limitations of prominent older designs, such as the Vickrey auction design, and evaluates the practical responses to those limitations. It explores the tension between the traditional theory of auctions with a fixed set of bidders, in which the seller seeks to squeeze as much revenue as possible from the fixed set, and the theory of auctions with endogenous entry, in which bidder profits must be respected to encourage participation.

Auctions
Auctions

Author: Paul Klemperer

Publisher: Princeton University Press

Published: 2004-03-28

Total Pages: 262

ISBN-13: 0691119252

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Governments use them to sell everything from oilfields to pollution permits, and to privatize companies; consumers rely on them to buy baseball tickets and hotel rooms, and economic theorists employ them to explain booms and busts. Auctions make up many of the world's most important markets; and this book describes how auction theory has also become an invaluable tool for understanding economics. Auctions: Theory and Practice provides a non-technical introduction to auction theory, and emphasises its practical application. Although there are many extremely successful auction markets, there have also been some notable fiascos, and Klemperer provides many examples. He discusses the successes and failures of the one-hundred-billion dollar "third-generation" mobile-phone license auctions; he, jointly with Ken Binmore, designed the first of these. Klemperer also demonstrates the surprising power of auction theory to explain seemingly unconnected issues such as the intensity of different forms of industrial competition, the costs of litigation, and even stock trading 'frenzies' and financial crashes. Engagingly written, the book makes the subject exciting not only to economics students but to anyone interested in auctions and their role in economics.

Open Source Intelligence Investigation
Open Source Intelligence Investigation

Author: Babak Akhgar

Publisher: Springer

Published: 2017-01-01

Total Pages: 302

ISBN-13: 3319476718

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One of the most important aspects for a successful police operation is the ability for the police to obtain timely, reliable and actionable intelligence related to the investigation or incident at hand. Open Source Intelligence (OSINT) provides an invaluable avenue to access and collect such information in addition to traditional investigative techniques and information sources. This book offers an authoritative and accessible guide on how to conduct Open Source Intelligence investigations from data collection to analysis to the design and vetting of OSINT tools. In its pages the reader will find a comprehensive view into the newest methods for OSINT analytics and visualizations in combination with real-life case studies to showcase the application as well as the challenges of OSINT investigations across domains. Examples of OSINT range from information posted on social media as one of the most openly available means of accessing and gathering Open Source Intelligence to location data, OSINT obtained from the darkweb to combinations of OSINT with real-time analytical capabilities and closed sources. In addition it provides guidance on legal and ethical considerations making it relevant reading for practitioners as well as academics and students with a view to obtain thorough, first-hand knowledge from serving experts in the field.

The Algorithmic Foundations of Differential Privacy
The Algorithmic Foundations of Differential Privacy

Author: Cynthia Dwork

Publisher:

Published: 2014

Total Pages: 286

ISBN-13: 9781601988188

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The problem of privacy-preserving data analysis has a long history spanning multiple disciplines. As electronic data about individuals becomes increasingly detailed, and as technology enables ever more powerful collection and curation of these data, the need increases for a robust, meaningful, and mathematically rigorous definition of privacy, together with a computationally rich class of algorithms that satisfy this definition. Differential Privacy is such a definition. The Algorithmic Foundations of Differential Privacy starts out by motivating and discussing the meaning of differential privacy, and proceeds to explore the fundamental techniques for achieving differential privacy, and the application of these techniques in creative combinations, using the query-release problem as an ongoing example. A key point is that, by rethinking the computational goal, one can often obtain far better results than would be achieved by methodically replacing each step of a non-private computation with a differentially private implementation. Despite some powerful computational results, there are still fundamental limitations. Virtually all the algorithms discussed herein maintain differential privacy against adversaries of arbitrary computational power -- certain algorithms are computationally intensive, others are efficient. Computational complexity for the adversary and the algorithm are both discussed. The monograph then turns from fundamentals to applications other than query-release, discussing differentially private methods for mechanism design and machine learning. The vast majority of the literature on differentially private algorithms considers a single, static, database that is subject to many analyses. Differential privacy in other models, including distributed databases and computations on data streams, is discussed. The Algorithmic Foundations of Differential Privacy is meant as a thorough introduction to the problems and techniques of differential privacy, and is an invaluable reference for anyone with an interest in the topic.

Machine Learning for Future Wireless Communications
Machine Learning for Future Wireless Communications

Author: Fa-Long Luo

Publisher: John Wiley & Sons

Published: 2020-02-10

Total Pages: 490

ISBN-13: 1119562252

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A comprehensive review to the theory, application and research of machine learning for future wireless communications In one single volume, Machine Learning for Future Wireless Communications provides a comprehensive and highly accessible treatment to the theory, applications and current research developments to the technology aspects related to machine learning for wireless communications and networks. The technology development of machine learning for wireless communications has grown explosively and is one of the biggest trends in related academic, research and industry communities. Deep neural networks-based machine learning technology is a promising tool to attack the big challenge in wireless communications and networks imposed by the increasing demands in terms of capacity, coverage, latency, efficiency flexibility, compatibility, quality of experience and silicon convergence. The author – a noted expert on the topic – covers a wide range of topics including system architecture and optimization, physical-layer and cross-layer processing, air interface and protocol design, beamforming and antenna configuration, network coding and slicing, cell acquisition and handover, scheduling and rate adaption, radio access control, smart proactive caching and adaptive resource allocations. Uniquely organized into three categories: Spectrum Intelligence, Transmission Intelligence and Network Intelligence, this important resource: Offers a comprehensive review of the theory, applications and current developments of machine learning for wireless communications and networks Covers a range of topics from architecture and optimization to adaptive resource allocations Reviews state-of-the-art machine learning based solutions for network coverage Includes an overview of the applications of machine learning algorithms in future wireless networks Explores flexible backhaul and front-haul, cross-layer optimization and coding, full-duplex radio, digital front-end (DFE) and radio-frequency (RF) processing Written for professional engineers, researchers, scientists, manufacturers, network operators, software developers and graduate students, Machine Learning for Future Wireless Communications presents in 21 chapters a comprehensive review of the topic authored by an expert in the field.