Open Cities | Open Data: Collaborative Cities in the Information Era

Curated on Posted on by Stefaan Verhulst

Book edited by Scott Hawken, Hoon Han and Chris Pettit: “Today the world’s largest economies and corporations trade in data and its products to generate value in new disruptive markets. Within these markets vast streams of data are often inaccessible or untapped and controlled by powerful monopolies. Counter to this exclusive use of data is a promising world-wide “open-data” movement, promoting freely accessible information to share, reuse and redistribute. The provision and application of open data has enormous potential to transform exclusive, technocratic “smart cities” into inclusive and responsive “open-cities”.


This book argues that those who contribute urban data should benefit from its production. Like the city itself, the information landscape is a public asset produced through collective effort, attention, and resources. People produce data through their engagement with the city, creating digital footprints through social medial, mobility applications, and city sensors. By opening up data there is potential to generate greater value by supporting unforeseen collaborations, spontaneous urban innovations and solutions, and improved decision-making insights. Yet achieving more open cities is made challenging by conflicting desires for urban anonymity, sociability, privacy and transparency. This book engages with these issues through a variety of critical perspectives, and presents strategies, tools and case studies that enable this transformation….(More)”.

‘Digital colonialism’: why some countries want to take control of their people’s data from Big Tech

Curated on Posted on by Stefaan Verhulst

Jacqueline Hicks at the Conversation: “There is a global standoff going on about who stores your data. At the close of June’s G20 summit in Japan, a number of developing countries refused to sign an international declaration on data flows – the so-called Osaka Track. Part of the reason why countries such as India, Indonesia and South Africa boycotted the declaration was because they had no opportunity to put their own interests about data into the document.

With 50 other signatories, the declaration still stands as a statement of future intent to negotiate further, but the boycott represents an ongoing struggle by some countries to assert their claim over the data generated by their own citizens.

Back in the dark ages of 2016, data was touted as the new oil. Although the metaphor was quickly debunked it’s still a helpful way to understand the global digital economy. Now, as international negotiations over data flows intensify, the oil comparison helps explain the economics of what’s called “data localisation” – the bid to keep citizens’ data within their own country.

Just as oil-producing nations pushed for oil refineries to add value to crude oil, so governments today want the world’s Big Tech companies to build data centres on their own soil. The cloud that powers much of the world’s tech industry is grounded in vast data centres located mainly around northern Europe and the US coasts. Yet, at the same time, US Big Tech companies are increasingly turning to markets in the global south for expansion as enormous numbers of young tech savvy populations come online….(More)”.

Social Systems Evidence

Curated on Posted on by Stefaan Verhulst

“Social Systems Evidence is the world’s most comprehensive, continuously updated repository of syntheses of research evidence about the programs, services and products available in a broad range of government sectors and program areas (e.g., climate action, community and social services, economic development and growth, education, environmental conservation, education, housing and transportation) as well as the governance, financial and delivery arrangements within which these programs, services and products are provided, and the implementation strategies that can help to ensure that these programs, services and products get to those who need them. The content contained in Social Systems Evidence covers the Sustainable Development Goals, with the exceptions of the health part of goal 3 (which is already well covered by databases such as ACCESSSS for clinical evidence, Health Evidence for public health evidence, and Health Systems Evidence for the governance, financial and delivery arrangements, and the implementation strategies that determine whether the right programs, services and products get to those who need them).

The types of syntheses in Social Systems Evidence include evidence briefs for policy, overviews of systematic reviews, systematic reviews, systematic reviews in progress (i.e. protocols for systematic reviews), and systematic reviews being planned (i.e. registered titles for systematic reviews). Social Systems Evidence also contains a continuously updated repository of economic evaluations in these same domains.

Documents included in Social Systems Evidence are identified through weekly electronic searches of online bibliographic databases (EBSCOhost, ProQuest and Web of Science) and through manual searches of the websites of high-volume producers of research syntheses relevant to social-system program and service areas (see acknowledgements below).

For all types of documents, Social Systems Evidence provides links to user-friendly summaries, scientific abstracts, and full-text reports (if applicable and when freely available). For each systematic review, Social Systems Evidence also provides an assessment of its methodological quality, and links to the studies contained in the review.

While SSE is free to use and does not require that users have an account, creating an account will allow you to view more than 20 search results, to save documents and searches, and to subscribe to email alerts, among other advanced features. You can create an account by clicking ‘Create account’ on the top banner (for desktop and laptop computers) or in the menu on far right of the banner (for mobile devices).

Social Systems Evidence can save social-system policymakers and stakeholders a great deal of time by helping them to rapidly identify: a synthesis of the best available research evidence on a given topic that has been prepared in a systematic and transparent way, how recently the search for studies was conducted, the quality of the synthesis, the countries in which the studies included in the synthesis were conducted, and the key findings from the synthesis. Social Systems Evidence can also help them to rapidly identify economic evaluations in these same domains…(More)”.

The Global Disinformation Order: 2019 Global Inventory of Organised Social Media Manipulation

Curated on Posted on by Stefaan Verhulst

Report by Philip Howard and Samantha Bradshaw: “…The report explores the tools, capacities, strategies and resources employed by global ‘cyber troops’, typically government agencies and political parties, to influence public opinion in 70 countries.

Key findings include:

  • Organized social media manipulation has more than doubled since 2017, with 70 countries using computational propaganda to manipulate public opinion.
  • In 45 democracies, politicians and political parties have used computational propaganda tools by amassing fake followers or spreading manipulated media to garner voter support.
  • In 26 authoritarian states, government entities have used computational propaganda as a tool of information control to suppress public opinion and press freedom, discredit criticism and oppositional voices, and drown out political dissent.
  • Foreign influence operations, primarily over Facebook and Twitter, have been attributed to cyber troop activities in seven countries: China, India, Iran, Pakistan, Russia, Saudi Arabia and Venezuela.
  • China has now emerged as a major player in the global disinformation order, using social media platforms to target international audiences with disinformation.
  • 25 countries are working with private companies or strategic communications firms offering a computational propaganda as a service.
  • Facebook remains the platform of choice for social media manipulation, with evidence of formally organised campaigns taking place in 56 countries….

The report explores the tools and techniques of computational propaganda, including the use of fake accounts – bots, humans, cyborgs and hacked accounts – to spread disinformation. The report finds:

  • 87% of countries used human accounts
  • 80% of countries used bot accounts
  • 11% of countries used cyborg accounts
  • 7% of countries used hacked or stolen accounts…(More)”.

Great Policy Successes

Curated on Posted on by Stefaan Verhulst

Book by Mallory Compton and Edited by Paul ‘t Hart: “With so much media and political criticism of their shortcomings and failures, it is easy to overlook the fact that many governments work pretty well much of the time. Great Policy Successes turns the spotlight on instances of public policy that are remarkably successful. It develops a framework for identifying and assessing policy successes, paying attention not just to their programmatic outcomes but also to the quality of the processes by which policies are designed and delivered, the level of support and legitimacy they attain, and the extent to which successful performance endures over time. The bulk of the book is then devoted to 15 detailed case studies of striking policy successes from around the world, including Singapore’s public health system, Copenhagen and Melbourne’s rise from stilted backwaters to the highly liveable and dynamic urban centres they are today, Brazil’s Bolsa Familia poverty relief scheme, the US’s GI Bill, and Germany’s breakthrough labour market reforms of the 2000s. Each case is set in context, its main actors are introduced, key events and decisions are described, the assessment framework is applied to gauge the nature and level of its success, key contributing factors to success are identified, and potential lessons and future challenges are identified. Purposefully avoiding the kind of heavy theorizing that characterizes many accounts of public policy processes, each case is written in an accessible and narrative style ideally suited for classroom use in conjunction with mainstream textbooks on public policy design, implementation, and evaluation….(More)”.

Goodhart’s Law: Are Academic Metrics Being Gamed?

Curated on Posted on by Stefaan Verhulst

Essay by Michael Fire: “…We attained the following five key insights from our study:

First, these results support Goodhart’s Law as it relates to academic publishing; that is, traditional measures (e.g., number of papers, number of citations, h-index, and impact factor) have become targets, and are no longer true measures importance/impact. By making papers shorter and collaborating with more authors, researchers are able to produce more papers in the same amount of time. Moreover, the majority of changes in papers’ structure are correlated with papers that receive higher numbers of citations. Authors can use longer titles and abstracts, or use question or exclamation marks in titles, to make their papers more appealing for readers and increase citations, i.e. academic clickbait. These results support our hypothesis that academic papers have evolved in order to score a bullseye on target metrics.

Second, it is clear that citation number has become a target for some researchers. We observe a general increasing trend for researchers to cite their previous work in their new studies, with some authors self citing dozens, or even hundreds, of times. Moreover, a huge quantity of papers – over 72% of all papers and 25% of all papers with at least 5 references – have no citations at all after 5 years. Clearly, a signficant amount of resources is spent on papers with limited impact, which may indicate that researchers are publishing more papers of poorer quality to boost their total number of publications. Additionally, we noted that different decades have very different paper citation distributions. Consequently, comparing citation records of researchers who published papers in different time periods can be challenging.

Number of self-citations over time

Third, we observed an exponential growth in the number of new researchers who publish papers, likely due to career pressures. …(More)”.

Counting on the World to Act

Curated on Posted on by Stefaan Verhulst
Home report cover

Report by Trends: “Eradicating poverty and hunger, ensuring quality education, instituting affordable and clean energy, and more – the Sustainable Development Goals (SDGs) lay out a broad, ambitious vision for our world. But there is one common denominator that cuts across this agenda: data. Without timely, relevant, and disaggregated data, policymakers and their development partners will be unprepared to turn their promises into reality for communities worldwide. With only eleven years left to meet the goals, it is imperative that we focus on building robust, inclusive, and relevant national data systems to support the curation and promotion of better data for sustainable development. In Counting on the World to Act, TReNDS details an action plan for governments and their development partners that will enable them to help deliver the SDGs globally by 2030. Our recommendations specifically aim to empower government actors – whether they be national statisticians, chief data scientists, chief data officers, ministers of planning, or others concerned with evidence in support of sustainable development – to advocate for, build, and lead a new data ecosystem….(More)”.

Agora: Towards An Open Ecosystem for Democratizing Data Science & Artificial Intelligence

Curated on Posted on by Stefaan Verhulst

Paper by Jonas Traub et al: “Data science and artificial intelligence are driven by a plethora of diverse data-related assets including datasets, data streams, algorithms, processing software, compute resources, and domain knowledge. As providing all these assets requires a huge investment, data sciences and artificial intelligence are currently dominated by a small number of providers who can afford these investments. In this paper, we present a vision of a data ecosystem to democratize data science and artificial intelligence. In particular, we envision a data infrastructure for fine-grained asset exchange in combination with scalable systems operation. This will overcome lock-in effects and remove entry barriers for new asset providers. Our goal is to enable companies, research organizations, and individuals to have equal access to data, data science, and artificial intelligence. Such an open ecosystem has recently been put on the agenda of several governments and industrial associations. We point out the requirements and the research challenges as well as outline an initial data infrastructure architecture for building such a data ecosystem…(More)”.

Citizens need to know numbers

Curated on Posted on by Stefaan Verhulst

David Spiegelhalter at Aeon: “…Many criticised the Leave campaign for its claim that Britain sends the EU £350 million a week. When Boris Johnson repeated it in 2017 – by which time he was Foreign Secretary – the chair of the UK Statistics Authority (the official statistical watchdog) rebuked him, noting it was a ‘clear misuse of official statistics’. A private criminal prosecution was even made against Johnson for ‘misconduct in a public office’, but it was halted by the High Court.

The message on the bus had a strong emotional resonance with millions of people, even though it was essentially misinformation. The episode demonstrates both the power and weakness of statistics: they can be used to amplify an entire worldview, and yet they often do not stand up to scrutiny. This is why statistical literacy is so important – in an age in which data plays an ever-more prominent role in society, the ability to spot ways in which numbers can be misused, and to be able to deconstruct claims based on statistics, should be a standard civic skill.

Statistics are not cold hard facts – as Nate Silver writes in The Signal and the Noise (2012): ‘The numbers have no way of speaking for themselves. We speak for them. We imbue them with meaning.’ Not only has someone used extensive judgment in choosing what to measure, how to define crucial ideas, and to analyse them, but the manner in which they are communicated can utterly change their emotional impact. Let’s assume that £350 million is the actual weekly contribution to the EU. I often ask audiences to suggest what they would put on the side of the bus if they were on the Remain side. A standard option for making an apparently big number look small is to consider it as a proportion of an even bigger number: for example, the UK’s GDP is currently around £2.3 trillion, and so this contribution would comprise less than 1 per cent of GDP, around six months’ typical growth. An alternative device is to break down expenditure into smaller, more easily grasped units: for example, as there are 66 million people in the UK, £350 million a week is equivalent to around 75p a day, less than $1, say about the cost of a small packet of crisps (potato chips). If the bus had said: We each send the EU the price of a packet of crisps each day, the campaign might not have been so successful.

Numbers are often used to persuade rather than inform, statistical literacy needs to be improved, and so surely we need more statistics courses in schools and universities? Well, yes, but this should not mean more of the same. After years of researching and teaching statistical methods, I am not alone in concluding that the way in which we teach statistics can be counterproductive, with an overemphasis on mathematical foundations through probability theory, long lists of tests and formulae to apply, and toy problems involving, say, calculating the standard deviation of the weights of cod. The American Statistical Association’s Guidelines for Assessment and Instruction in Statistics Education (2016) strongly recommended changing the pedagogy of statistics into one based on problemsolving, real-world examples, and with an emphasis on communication….(More)”.

The promise and peril of a digital ecosystem for the planet

Curated on Posted on by Stefaan Verhulst

Blog post by Jillian Campbell and David E Jensen: “A range of frontier and digital technologies have dramatically boosted the ways in which we can monitor the health of our planet. And sustain our future on it (Figure 1).

Figure 1. A range of frontier an digital technologies can be combined to monitor our planet and the sustainable use of natural resources (1)

If we can leverage this technology effectively, we will be able to assess and predict risks, increase transparency and accountability in the management of natural resources and inform markets as well as consumer choice. These actions are all required if we are to stand a better chance of achieving the Sustainable Development Goals (SDGs).

However, for this vision to become a reality, public and private sector actors must take deliberate action and collaborate to build a global digital ecosystem for the planet — one consisting of data, infrastructure, rapid analytics, and real-time insights. We are now at a pivotal moment in the history of our stewardship of this planet. A “tipping point” of sorts. And in order to guide the political action which is required to counter the speed, scope and severity of the environmental and climate crises, we must acquire and deploy these data sets and frontier technologies. Doing so can fundamentally change our economic trajectory and underpin a sustainable future.

This article shows how such a global digital ecosystem for the planet can be achieved — as well as what we risk if we do not take decisive action within the next 12 months….(More)”.