Creating Smart Cities


Book edited by Claudio Coletta, Leighton Evans, Liam Heaphy, and Rob Kitchin: “In cities around the world, digital technologies are utilized to manage city services and infrastructures, to govern urban life, to solve urban issues and to drive local and regional economies. While “smart city” advocates are keen to promote the benefits of smart urbanism – increased efficiency, sustainability, resilience, competitiveness, safety and security – critics point to the negative effects, such as the production of technocratic governance, the corporatization of urban services, technological lock-ins, privacy harms and vulnerability to cyberattack.

This book, through a range of international case studies, suggests social, political and practical interventions that would enable more equitable and just smart cities, reaping the benefits of smart city initiatives while minimizing some of their perils.

Included are case studies from Ireland, the United States of America, Colombia, the Netherlands, Singapore, India and the United Kingdom. These chapters discuss a range of issues including political economy, citizenship, standards, testbedding, urban regeneration, ethics, surveillance, privacy and cybersecurity. This book will be of interest to urban policymakers, as well as researchers in Regional Studies and Urban Planning…(More)”.

Babbage among the insurers: big 19th-century data and the public interest.


Wilson, D. C. S.  at the History of the Human Sciences: “This article examines life assurance and the politics of ‘big data’ in mid-19th-century Britain. The datasets generated by life assurance companies were vast archives of information about human longevity. Actuaries distilled these archives into mortality tables – immensely valuable tools for predicting mortality and so pricing risk. The status of the mortality table was ambiguous, being both a public and a private object: often computed from company records they could also be extrapolated from quasi-public projects such as the Census or clerical records. Life assurance more generally straddled the line between private enterprise and collective endeavour, though its advocates stressed the public interest in its success. Reforming actuaries such as Thomas Rowe Edmonds wanted the data on which mortality tables were based to be made publicly available, but faced resistance. Such resistance undermined insurers’ claims to be scientific in spirit and hindered Edmonds’s personal quest for a law of mortality. Edmonds pushed instead for an open actuarial science alongside fellow-travellers at the Statistical Society of London, which was populated by statisticians such as William Farr (whose subsequent work, it is argued, was influenced by Edmonds) as well as by radical mathematicians such as Charles Babbage. The article explores Babbage’s little-known foray into the world of insurance, both as a budding actuary but also as a fierce critic of the industry. These debates over the construction, ownership, and accessibility of insurance datasets show that concern about the politics of big data did not begin in the 21st century….(More)”.

The Administrative State


Interview with Paul Tucker by Benedict King: “Iyour book, you place what you call the “administrative state” at the heart of the political dilemmas facing the liberal political order. Could you tell us what you mean by ‘the administrative state’ and the dilemmas it poses for democratic societies?

This is about the legitimacy of the structure of government that has developed in Western democracies. The ‘administrative state’ is simply the machinery for implementing policy and law. What matters is that much of it—including many regulators and central banks—is no longer under direct ministerial control. They are not part of a ministerial department. They are not answerable day-to-day, minute-by-minute to the prime minister or, in other countries, the president.

When I was young, in Europe at least, these arm’s-length agencies were a small part of government, but now they are a very big part. Over here, that transformation has come about over the past thirty-odd years, since the 1990s, whereas in America it goes back to the 1880s, and especially the 1930s New Deal reforms of President Roosevelt.

“The ‘administrative state’ is simply the machinery for implementing policy and law. ”

In the United Kingdom we used to call these agencies ‘quangos’, but that acronym trivialises the issue. Today, many—in the US, probably most—of the laws to which businesses and even individuals are subject are written and enforced by regulatory agencies, part of the administrative state, rather than passed by Parliament or Congress and enforced by the elected executive. That would surprise John Locke, Montesquieu and James Madison, who developed the principles associated with the separation of powers and constitutionalism.

To some extent, these changes were driven by a perceived need to turn to ‘expertise’. But the effect has been to shift more of our government away from our elected representatives and to unelected technocrats. An underlying premise at the heart of my book (although not something that I can prove) is that, since any and every part of government eventually fails—and may fail very badly, as we saw with the collapse of the financial system in 2008—there is a risk that people will get fed up with this shift to governance by unelected experts. The people will get fed up with their lives being affected so much by people who they didn’t have a chance to vote for and can’t vote out. If that happened, it would be dangerous as the genius of representative democracy is that it separates how we as citizens feel about the system of government from how we feel about the government of the day. So how can we avoid that without losing the benefits of delegation? That is what the debate about the administrative state is ultimately about: its dryness belies its importance to how we govern ourselves.

“The genius of representative democracy is that it separates how we as citizens feel about the system of government from how we feel about the government of the day”

It matters, therefore, that the array of agencies in the administrative state varies enormously in the degree to which they are formally insulated from politics. My book Unelected Power is about ‘independent agencies’, by which I mean an agency that is insulated day-to-day from both the legislative branch (Parliament or Congress) and also from the executive branch of government (the prime minister or president). Central banks are the most important example of such independent agencies in modern times, wielding a wide range of monetary and regulatory powers….(More + selection of five books to read)”.

Direct Democracy and Political Engagement of the Marginalized


Dissertation by Jeong Hyun Kim: “…examines direct democracy’s implications for political equality by focusing on how it influences and modifies political attitudes and behaviors of marginalized groups. Using cases and data from Sweden, Switzerland, and the United States, I provide a comprehensive, global examination of how direct democratic institutions affect political participation, especially of political minority or marginalized groups.

In the first paper, I examine whether the practice of direct democracy supports women’s political participation. I theorize that the use of direct democracy enhances women’s sense of political efficacy, thereby promoting their participation in the political process. I test this argument by leveraging a quasi-experiment in Sweden from 1921 to 1944, wherein the use of direct democratic institutions was determined by a population threshold. Findings from a regression discontinuity analysis lend strong support for the positive effect of direct democracy on women’s political participation. Using web documents of minutes from direct democratic meetings, I further show that women’s participation in direct democracy is positively associated with their subsequent participation in parliamentary elections.

The second paper expands on the first paper by examining an individual-level mechanism linking experience with direct democracy and feelings of political efficacy. Using panel survey data from Switzerland, I examine the relationship between individuals’ exposure to direct democracy and the gender gap in political efficacy. I find that direct democracy increases women’s sense of political efficacy, while it has no significant effect on men. This finding confirms that the opportunity for direct legislation leads women to feel more efficacious in politics, suggesting its further implications for the gender gap in political engagement.

In the third and final paper, I examine how direct democratic votes targeting ethnic minorities influence political mobilization of minority groups. I theorize that targeted popular votes intensify the general public’s hostility towards minority groups, thereby enhancing group members’ perceptions of being stigmatized. Consequently, this creates a greater incentive for minorities to actively engage in politics. Using survey data from the United States, combined with information about state-level direct democracy, I find that direct democratic votes targeting the rights of immigrants lead to greater political activism among ethnic minorities with immigrant background. These studies contribute to the extant study of women and minority politics by illuminating new mechanisms underlying mobilization of women and minorities and clarifying the causal effect of the type of government on political equality….(More)”.

Social Media Use in Crisis and Risk Communication: Emergencies, Concerns and Awareness


Open Access Book edited by Harald Hornmoen and Klas Backholm: ” This book is about how different communicators – whether professionals, such as crisis managers, first responders and journalists, or private citizens and disaster victims – have used social media to communicate about risks and crises. It is also about how these very different actors can play a crucial role in mitigating or preventing crises. How can they use social media to strengthen their own and the public’s awareness and understanding of crises when they unfold? How can they use social media to promote resilience during crises and the ability to deal with the after-effects? Moreover, what can they do to avoid using social media in a manner that weakens the situation awareness of crisis workers and citizens, or obstructs effective emergency management?

The RESCUE (Researching Social Media and Collaborative Software Use in Emergency Situations) project, on which this book is based, has sought to enable a more efficient and appropriate use of social media among key communicators, such as journalists and government actors involved in crisis management. Through empirical studies, and by drawing on relevant theory, the collection aims to improve our understanding of how social media have been used in different types of risks and crises. Building on our empirical work, we provide research-based input into how social media can be used efficiently by different communicators in a way appropriate to the specific crisis and to the concerns of the public.

We address our questions by presenting new research-based knowledge on social media use during different crises: the terrorist attacks in Norway on 22 July 2011; the central European floods in Austria in 2013; and the West African Ebola outbreak in 2014. The social media platforms analysed include the most popular ones in the affected areas at the time of the crises: Twitter and Facebook. By addressing such different cases, the book will move the field of crisis communication in social media beyond individual studies towards providing knowledge which is valid across situations….(More)”.

Don’t Believe the Algorithm


Hannah Fry at the Wall Street Journal: “The Notting Hill Carnival is Europe’s largest street party. A celebration of black British culture, it attracts up to two million revelers, and thousands of police. At last year’s event, the Metropolitan Police Service of London deployed a new type of detective: a facial-recognition algorithm that searched the crowd for more than 500 people wanted for arrest or barred from attending. Driving around in a van rigged with closed-circuit TVs, the police hoped to catch potentially dangerous criminals and prevent future crimes.

It didn’t go well. Of the 96 people flagged by the algorithm, only one was a correct match. Some errors were obvious, such as the young woman identified as a bald male suspect. In those cases, the police dismissed the match and the carnival-goers never knew they had been flagged. But many were stopped and questioned before being released. And the one “correct” match? At the time of the carnival, the person had already been arrested and questioned, and was no longer wanted.

Given the paltry success rate, you might expect the Metropolitan Police Service to be sheepish about its experiment. On the contrary, Cressida Dick, the highest-ranking police officer in Britain, said she was “completely comfortable” with deploying such technology, arguing that the public expects law enforcement to use cutting-edge systems. For Dick, the appeal of the algorithm overshadowed its lack of efficacy.

She’s not alone. A similar system tested in Wales was correct only 7% of the time: Of 2,470 soccer fans flagged by the algorithm, only 173 were actual matches. The Welsh police defended the technology in a blog post, saying, “Of course no facial recognition system is 100% accurate under all conditions.” Britain’s police force is expanding the use of the technology in the coming months, and other police departments are following suit. The NYPD is said to be seeking access to the full database of drivers’ licenses to assist with its facial-recognition program….(More).

European science funders ban grantees from publishing in paywalled journals


Martin Enserink at Science: “Frustrated with the slow transition toward open access (OA) in scientific publishing, 11 national funding organizations in Europe turned up the pressure today. As of 2020, the group, which jointly spends about €7.6 billion on research annually, will require every paper it funds to be freely available from the moment of publication. In a statement, the group said it will no longer allow the 6- or 12-month delays that many subscription journals now require before a paper is made OA, and it won’t allow publication in so-called hybrid journals, which charge subscriptions but also make individual papers OA for an extra fee.

The move means grantees from these 11 funders—which include the national funding agencies in the United Kingdom, the Netherlands, and France as well as Italy’s National Institute for Nuclear Physics—will have to forgo publishing in thousands of journals, including high-profile ones such as NatureScienceCell, and The Lancet, unless those journals change their business model. “We think this could create a tipping point,” says Marc Schiltz, president of Science Europe, the Brussels-based association of science organizations that helped coordinate the plan. “Really the idea was to make a big, decisive step—not to come up with another statement or an expression of intent.”

The announcement delighted many OA advocates. “This will put increased pressure on publishers and on the consciousness of individual researchers that an ecosystem change is possible,” says Ralf Schimmer, head of Scientific Information Provision at the Max Planck Digital Library in Munich, Germany. Peter Suber, director of the Harvard Library Office for Scholarly Communication, calls the plan “admirably strong.” Many other funders support OA, but only the Bill & Melinda Gates Foundation applies similarly stringent requirements for “immediate OA,” Suber says. The European Commission and the European Research Council support the plan; although they haven’t adopted similar requirements for the research they fund, a statement by EU Commissioner for Research, Science and Innovation Carlos Moedas suggests they may do so in the future and urges the European Parliament and the European Council to endorse the approach….(More)”.

The UK’s Gender Pay Gap Open Data Law Has Flaws, But Is A Positive Step Forward


Article by Michael McLaughlin: “Last year, the United Kingdom enacted a new regulation requiring companies to report information about their gender pay gap—a measure of the difference in average pay between men and women. The new rules are a good example of how open data can drive social change. However, the regulations have produced some misleading statistics, highlighting the importance of carefully crafting reporting requirements to ensure that they produce useful data.

In the UK, nearly 11,000 companies have filed gender pay gap reports, which include both the difference between the mean and median hourly pay rates for men and women as well the difference in bonuses. And the initial data reveals several interesting findings. Median pay for men is 11.8 percent higher than for women, on average, and nearly 87 percent of companies pay men more than women on average. In addition, over 1,000 firms had a median pay gap greater than 30 percent. The sectors with the highest pay gaps—construction, finance, and insurance—each pay men at least 20 percent more than women. A major reason for the gap is a lack of women in senior positions—UK women actually make more than men between the ages of 22-29. The total pay gap is also a result of more women holding part-time jobs.

However, as detractors note, the UK’s data can be misleading. For example, the data overstates the pay gap on bonuses because it does not adjust these figures for hours worked. More women work part-time than men, so it makes sense that women would receive less in bonus pay when they work less. The data also understates the pay gap because it excludes the high compensation of partners in organizations such as law firms, a group that includes few women. And it is important to note that—by definition—the pay gap data does not compare the wages of men and women working the same jobs, so the data says nothing about whether women receive equal pay for equal work.

Still, publication of the data has sparked an important national conversation. Google searches in the UK for the phrase “gender pay gap” experienced a 12-month high the week the regulations began enforcement, and major news sites like Financial Times have provided significant coverage of the issue by analyzing the reported data. While it is too soon to tell if the law will change employer behavior, such as businesses hiring more female executives, or employee behavior, such as women leaving companies or fields that pay less, countries with similar reporting requirements, such as Belgium, have seen the pay gap narrow following implementation of their rules.

Requiring companies to report this data to the government may be the only way to obtain gender pay gap data, because evidence suggests that the private sector will not produce this data on its own. Only 300 UK organizations joined a voluntary government program to report their gender pay gap in 2011, and as few as 11 actually published the data. Crowdsourced efforts, where women voluntary report their pay, have also suffered from incomplete data. And even complete data does not illuminate variables such as why women may work in a field that pays less….(More)”.

Sharing the benefits: How to use data effectively in the public sector


Report by Sarah Timmis, Luke Heselwood and Eleonora Harwich (for Reform UK): “This report demonstrates the potential of data sharing to transform the delivery of public services and improve outcomes for citizens. It explores how government can overcome various challenges to ‘get data right’ and enable better use of personal data within and between public-sector organisations.

Ambition meets reality

Government is set on using data more effectively to help deliver better public services. Better use of data can improve the design, efficiency and outcomes of services. For example, sharing data digitally between GPs and hospitals can enable early identification of patients most at risk of hospital admission, which has reduced admissions by up to 30 per cent in Somerset. Bristol’s Homeless Health Service allows access to medical, psychiatric, social and prison data, helping to provide a clearer picture of the complex issues facing the city’s homeless population. However, government has not yet created a clear data infrastructure, which would allow data to be shared across multiple public services, meaning efforts on the ground have not always delivered results.

The data: sticking points

Several technical challenges must be overcome to create the right data infrastructure. Individual pieces of data must be presented in standard formats to enable sharing within and across services. Data quality can be improved at the point of data collection, through better monitoring of data quality and standards within public-sector organisations and through data-curation-processes. Personal data also needs to be presented in a given format so linking data is possible in certain instances to identify individuals. Interoperability issues and legacy systems act as significant barriers to data linking. The London Metropolitan Police alone use 750 different systems, many of which are incompatible. Technical solutions, such as Application Programming Interfaces (APIs) can be overlaid on top of legacy systems to improve interoperability and enable data sharing. However, this is only possible with the right standards and a solid new data model. To encourage competition and improve interoperability in the longer term, procurement rules should make interoperability a prerequisite for competing companies, allowing customers to integrate their choices of the most appropriate products from different vendors.

Building trustworthiness

The ability to share data at scale through the internet has brought new threats to the security and privacy of personal information that amplifies the need for trust between government and citizens and across government departments. Currently, just 9 per cent of people feel that the Government has their best interests at heart when data sharing, and only 15 per cent are confident that government organisations would deal well with a cyber-attack. Considering attitudes towards data sharing are time and context dependent, better engagement with citizens and clearer explanations of when and why data is used can help build confidence. Auditability is also key to help people and organisations track how data is used to ensure every interaction with personal data is auditable, transparent and secure. …(More)”.

An Overview of National AI Strategies


Medium Article by Tim Dutton: “The race to become the global leader in artificial intelligence (AI) has officially begun. In the past fifteen months, Canada, China, Denmark, the EU Commission, Finland, France, India, Italy, Japan, Mexico, the Nordic-Baltic region, Singapore, South Korea, Sweden, Taiwan, the UAE, and the UK have all released strategies to promote the use and development of AI. No two strategies are alike, with each focusing on different aspects of AI policy: scientific research, talent development, skills and education, public and private sector adoption, ethics and inclusion, standards and regulations, and data and digital infrastructure.

This article summarizes the key policies and goals of each strategy, as well as related policies and initiatives that have announced since the release of the initial strategies. It also includes countries that have announced their intention to develop a strategy or have related AI policies in place….(More)”.