Pricing Lives: Guideposts for a Safer Society


Book by W. Kip Viscusi: Like it or not, sometimes we need to put a monetary value on people’s lives. In the past, government agencies used the financial “cost of death” to monetize the mortality risks of regulatory policies, but this method vastly undervalued life. Pricing Lives tells the story of how the government came to adopt an altogether different approach–the value of a statistical life, or VSL—and persuasively shows how its more widespread use could create a safer and more equitable society for everyone.

In the 1980s, W. Kip Viscusi used the method to demonstrate that the benefits of requiring businesses to label hazardous chemicals immensely outweighed the costs. VSL is the risk-reward trade-off that people make about their health when considering risky job choices. With it, Viscusi calculated how much more money workers would demand to take on hazardous jobs, boosting calculated benefits by an order of magnitude. His current estimate of the value of a statistical life is $10 million. In this book, Viscusi provides a comprehensive look at all aspects of economic and policy efforts to price lives, including controversial topics such as whether older people’s lives are worth less and richer people’s lives are worth more. He explains why corporations need to abandon the misguided cost-of-death approach, how the courts can profit from increased application of VSL in assessing liability and setting damages, and how other countries consistently undervalue risks to life.

Pricing Lives proposes sensible economic guideposts to foster more protective policies and greater levels of safety in the United States and throughout the world….(More)”.

Open Data Exposed


Book by Bastiaan van Loenen, Glenn Vancauwenberghe, Joep Crompvoets and Lorenzo Dalla Corte: “This book is about open data, i.e. data that does not have any barriers in the (re)use. Open data aims to optimize access, sharing and using data from a technical, legal, financial, and intellectual perspective.

Data increasingly determines the way people live their lives today. Nowadays, we cannot imagine a life without real-time traffic information about our route to work, information of the daily news or information about the local weather. At the same time, citizens themselves now are constantly generating and sharing data and information via many different devices and social media systems. Especially for governments, collection, management, exchange, and use of data and information have always been key tasks, since data is both the primary input to and output of government activities. Also for businesses, non-profit organizations, researchers and various other actors, data and information are essential….(More)”.

The Collaborative Era in Science: Governing the Network


Book by Caroline S. Wagner: “In recent years a global network of science has emerged as a result of thousands of individual scientists seeking to collaborate with colleagues around the world, creating a network which rises above national systems. The globalization of science is part of the underlying shift in knowledge creation generally: the collaborative era in science. Over the past decade, the growth in the amount of knowledge and the speed at which it is available has created a fundamental shift—where data, information, and knowledge were once scarce resources, they are now abundantly available.

Collaboration, openness, customer- or problem-focused research and development, altruism, and reciprocity are notable features of abundance, and they create challenges that economists have not yet studied. This book defines the collaborative era, describes how it came to be, reveals its internal dynamics, and demonstrates how real-world practitioners are changing to take advantage of it. Most importantly, the book lays out a guide for policymakers and entrepreneurs as they shift perspectives to take advantage of the collaborative era in order to create social and economic welfare….(More)”.

Positive deviance, big data, and development: A systematic literature review


Paper by Basma Albanna and Richard Heeks: “Positive deviance is a growing approach in international development that identifies those within a population who are outperforming their peers in some way, eg, children in low‐income families who are well nourished when those around them are not. Analysing and then disseminating the behaviours and other factors underpinning positive deviance are demonstrably effective in delivering development results.

However, positive deviance faces a number of challenges that are restricting its diffusion. In this paper, using a systematic literature review, we analyse the current state of positive deviance and the potential for big data to address the challenges facing positive deviance. From this, we evaluate the promise of “big data‐based positive deviance”: This would analyse typical sources of big data in developing countries—mobile phone records, social media, remote sensing data, etc—to identify both positive deviants and the factors underpinning their superior performance.

While big data cannot solve all the challenges facing positive deviance as a development tool, they could reduce time, cost, and effort; identify positive deviants in new or better ways; and enable positive deviance to break out of its current preoccupation with public health into domains such as agriculture, education, and urban planning. In turn, positive deviance could provide a new and systematic basis for extracting real‐world development impacts from big data…(More)”.

Creating and Capturing Value through Crowdsourcing


Cover

Book edited by Allan Afuah, Christopher L. Tucci, and Gianluigi Viscusi: “Examples of the value that can be created and captured through crowdsourcing go back to at least 1714 when the UK used crowdsourcing to solve the Longitude Problem, obtaining a solution that would enable the UK to become the dominant maritime force of its time. Today, Wikipedia uses crowds to provide entries for the world’s largest and free encyclopedia. Partly fueled by the value that can be created and captured through crowdsourcing, interest in researching the phenomenon has been remarkable.

Despite this – or perhaps because of it – research into crowdsourcing has been conducted in different research silos, within the fields of management (from strategy to finance to operations to information systems), biology, communications, computer science, economics, political science, among others. In these silos, crowdsourcing takes names such as broadcast search, innovation tournaments, crowdfunding, community innovation, distributed innovation, collective intelligence, open source, crowdpower, and even open innovation. This book aims to assemble chapters from many of these silos, since the ultimate potential of crowdsourcing research is likely to be attained only by bridging them. Chapters provide a systematic overview of the research on crowdsourcing from different fields based on a more encompassing definition of the concept, its difference for innovation, and its value for both private and public sector….(More)”.

Algorithmic Government: Automating Public Services and Supporting Civil Servants in using Data Science Technologies


Zeynep Engin and Philip Treleaven in the Computer Journal:  “The data science technologies of artificial intelligence (AI), Internet of Things (IoT), big data and behavioral/predictive analytics, and blockchain are poised to revolutionize government and create a new generation of GovTech start-ups. The impact from the ‘smartification’ of public services and the national infrastructure will be much more significant in comparison to any other sector given government’s function and importance to every institution and individual.

Potential GovTech systems include Chatbots and intelligent assistants for public engagement, Robo-advisors to support civil servants, real-time management of the national infrastructure using IoT and blockchain, automated compliance/regulation, public records securely stored in blockchain distributed ledgers, online judicial and dispute resolution systems, and laws/statutes encoded as blockchain smart contracts. Government is potentially the major ‘client’ and also ‘public champion’ for these new data technologies. This review paper uses our simple taxonomy of government services to provide an overview of data science automation being deployed by governments world-wide. The goal of this review paper is to encourage the Computer Science community to engage with government to develop these new systems to transform public services and support the work of civil servants….(More)”.

The Public Mapping Project: How Public Participation Can Revolutionize Redistricting


Book by Micah Altman and Michael P. McDonald: “… unveil the Public Mapping Project, which developed DistrictBuilder, an open-source software redistricting application designed to give the public transparent, accessible, and easy-to-use online mapping tools. As they show, the goal is for all citizens to have access to the same information that legislators use when drawing congressional maps—and use that data to create maps of their own….(More)”.

Statistics Canada promises more detailed portrait of Canadians with fewer surveys


Bill Curry at The Globe and Mail: “Canadians are increasingly shunning phone surveys, but they could still be providing Statistics Canada with valuable data each time they flush the toilet or flash their debit card.

The national statistics agency laid out an ambitious plan Thursday to overhaul the way it collects and reports on issues ranging from cannabis and opioid use to market-moving information on unemployment and economic growth.

According to four senior Statscan officials, the agency is in the midst of a major transformation as it adapts to a world of big data collected by other government agencies as well as private sector actors such as banks, cellphone companies and digital-based companies like Uber.

At its core, the shift means the agency will become less reliant on traditional phone surveys or having businesses fill out forms to report their sales data. Instead, Statscan is reaching agreements with other government departments and private companies in order to gain access to their raw data, such as point-of-sale information. According to agency officials, such arrangements reduce the reporting paperwork faced by businesses while creating the potential for Statscan to produce faster and more reliable information.

Key releases such as labour statistics or reporting on economic growth could come out sooner, reducing the lag time between the end of a quarter and reporting on results. Officials said economic data that is released quarterly could shift to monthly reporting. The greater access to raw data sources will also allow for more localized reporting at the neighbourhood level….(More)”.

The Role of Management in Open Data Initiatives in Local Governments: Opening the Organizational Black Box


Paper by Mila Gasco-Hernandez and  Jose Ramon Gil-Garcia: “Previous studies have infrequently addressed the dynamic interactions among social, technical, and organizational variables in open government data initiatives. In addition, organization level models have neglected to explain the role of management in decision-making processes about technology and data. This article contributes to addressing this gap in the literature by analyzing the complex relationships between open government data characteristics and the organizations and institutions in which they are embedded.

We systematically compare the open data inception and implementation processes, as well as their main results, in three Spanish local governments (Gava and Rubi in Catalonia and Gijon in Asturias) by using a model that combines the technology enactment framework with some specific constructs and relationships from the process model of computing change. Our resulting model is able to identify and explain the significant role of management in shaping and mediating different interactions, but also acknowledges the importance of organizational level variables and the context in which the open data initiative is taking place…(More)”.

The five drivers for improving public sector performance


Lessons from the new World Bank Global Report: “Almost daily, headlines in the world’s leading newspapers are full of examples of public sector failures: public money is mismanaged or outright misused; civil servants are not motivated or are poorly trained; government agencies fail to coordinate with each other; and as a result, citizens are either deprived of quality public services, or must go through a bureaucratic maze to access them.

These public-sector challenges are often present even in the world’s most developed countries. They are of course further exacerbated by lower levels of development.

So what hope do low and middle-income countries have to make their public sectors function more effectively? Is this just a futile enterprise altogether?

We believe it is not. Our new Global Report, Improving Public Sector Performance Through Innovation and Inter-Agency Coordination, argues that positive change is possible in many low and middle-income countries. The report collects 15 inspiring country cases of such reforms and shows that such change does not necessarily require huge financial investment or complex IT systems. What seems to be required, instead, are five interconnected drivers of success:

  • Political leadership is needed because few, if any, of the innovations are a purely technocratic exercise.  Leaders need to find ways to collaborate with a wide range of internal and external stakeholders to overcome inherent opposition.
  • Institutional capacity building of existing bodies is a common element across many of the 15 cases. For reforms to endure, one ultimately needs to create sustainable institutions.
  • Incentives matter, both at the institutional level (e.g., through government-wide policy, creating systems and structures that shape institutional objectives, and program monitoring systems) as well as at the level of civil servants (e.g., through performance targets and reward systems).
  • Increased transparency can help deliver change in public sector performance by breaking down government silos and ensuring inter-agency information-sharing, and publishing or disseminating performance information.  Transparency can also be a powerful driver for changing incentives.
    • Technology, while not a panacea, is present in two-thirds of the featured cases. The reformers applied relevant, even basic, IT tools and know-how to their specific functional requirements and did not over-design their efforts.  Furthermore, the technology application is rarely a stand-alone solution; rather, it is accompanied by policies and procedures to change behavior….(More)”.