The Secret to Making Democracy More Civil and Less Polarized


Essay by Matt Qvortrup: “…Too often, politicians hold referendums when they themselves are in a tight spot. As the economist John Matsusaka has written, governments often rely on referendums for issues that are “too hot to handle.” In the late 1990s, British Prime Minister Tony Blair held a referendum on a parliament for Scotland in order not to alienate voters in England, and in 2005, the French government submitted the European Constitution to voters for fear of upsetting the large segment of French voters who were skeptical of the EU.

This process of elected politicians submitting unpopular questions to voters is not direct democracy. It is an abuse thereof. And it is entirely out of step with the current moment and how people want to engage with the world. By contrast, over the past three decades, some local and national governments have taken a much more proactive approach to citizen engagement through participatory budgeting.

The idea is simple: the government distributes a percentage (typically 10 percent) of the local budget to the citizens, who decide what to spend the money on. “How would you spend one million of the City’s money?” asked a pamphlet distributed to New Yorkers in 2011 that introduced them to the process.

Participatory budgeting came to Tower Hamlets, one of the most unequal parts of London, in 2009 and 2010 in a project designed to help the area choose new social service providers. The borough was divided into eight smaller areas; in each, a representative section of community volunteers could question the providers on whatever they wished, including social responsibility and commitment to the community. Eventually, the citizens were able to negotiate with providers on the details of how service would work.

Finally, after this process, a vote was taken on which providers offered the best value and which were most likely to provide employment to local residents. This participatory project was a success. An evaluation by the local government association concluded that “a majority of participants said they had developed skills linked to empowerment, and the community overall felt they could better influence their local environment and services.” It was popular, too. More than 77 percent wanted the council to repeat the event in the future.” This level of engagement was considerably above the average for similar boroughs, where as few as 20 percent of residents even bother to vote.

The Tower Hamlets experiment—as well as participatory budgeting in places as different as Porto Alegre, Brazil and Paris, France—shows that citizens behave responsibly when they are given responsibility.

The money allocated in participatory budgeting is finite, and those involved in the process know that they have to make hard choices. Admittedly “trust” is a difficult concept to measure, but research by the World Bank suggests that citizen engagement grows trust in the political system. Moreover, citizens learn democracy by doing it. As Harvard political scientist Jane Mansbridge wrote, “Participating in democratic decisions makes many participants better citizens.”…(More)”.

Remove obstacles to sharing health data with researchers outside of the European Union


Heidi Beate Bentzen et al in Nature: “International sharing of pseudonymized personal data among researchers is key to the advancement of health research and is an essential prerequisite for studies of rare diseases or subgroups of common diseases to obtain adequate statistical power.

Pseudonymized personal data are data on which identifiers such as names are replaced by codes. Research institutions keep the ‘code key’ that can link an individual person to the data securely and separately from the research data and thereby protect privacy while preserving the usefulness of data for research. Pseudonymized data are still considered personal data under the General Data Protection Regulation (GDPR) 2016/679 of the European Union (EU) and, therefore, international transfers of such data need to comply with GDPR requirements. Although the GDPR does not apply to transfers of anonymized data, the threshold for anonymity under the GDPR is very high; hence, rendering data anonymous to the level required for exemption from the GDPR can diminish the usefulness of the data for research and is often not even possible.

The GDPR requires that transfers of personal data to international organizations or countries outside the European Economic Area (EEA)—which comprises the EU Member States plus Iceland, Liechtenstein and Norway—be adequately protected. Over the past two years, it has become apparent that challenges emerge for the sharing of data with public-sector researchers in a majority of countries outside of the EEA, as only a few decisions stating that a country offers an adequate level of data protection have so far been issued by the European Commission. This is a problem, for example, with researchers at federal research institutions in the United States. Transfers to international organizations such as the World Health Organization are similarly affected. Because these obstacles ultimately affect patients as beneficiaries of research, solutions are urgently needed. The European scientific academies have recently published a report explaining the consequences of stalled data transfers and pushing for responsible solutions…(More)”.

The social value of data


Working paper by Diane Coyle and Annabel Manley: “Data sets, and the inferences made from them, are generating an increasing amount of value in modern economies. However, this value is typically not well captured in GDP, and in general, the absence of markets for data assets means there is no easy approach to measuring the value of data. Yet given the potential value that can be created from investing in data and making it available, this oversight could lead to underinvestment or too little access to data.

Data has certain economic characteristics that make market-based methods of determining value insufficient to understanding its true potential value to society.

First is its non-rival nature, in that one person or company’s use of a dataset does not affect whether another person or company can also use it.

Second is that datasets often involve externalities. For example, information externalities mean that the presence of one data point will increase the value of all other data points in the dataset. Conversely, loss of privacy would be a negative externality. Therefore, the potential to link two datasets creates complications for valuations as the combined dataset will have a value possibly greater than the sum of its parts. These characteristics mean that private markets will not deliver economically efficient social availability of data, and that market prices will not reflect social value.

The experiment

In our new working paper we test one potential method of determining the social value of a dataset: discrete choice analysis.

Discrete choice analysis is a type of ‘contingent valuation’ method used to elicit individuals’ willingness to pay, a measure of consumer surplus. The method we tested is frequently used in marketing research for pricing strategies, and so there are a number of software tools that will automate the survey design and analysis (we used conjoint.ly). More recently, contingent methods have also been used to value  ‘free’ digital goods, and for a pilot study by the ONS for valuing their own datasets….(More)”.

Principled Data Access: Building Public-private Data Partnerships for Better Official Statistics


Paper by Claudia Biancotti, Oscar Borgogno and Giovanni Veronese: “Official statistics serve as an important compass for policymakers due to their quality, impartiality, and transparency. In the current post-pandemic environment of great uncertainty and widespread disinformation, they need to serve this purpose more than ever. The wealth of data produced by the digital society (e.g. from user activity on online platforms or from Internet-of-Things devices) could help official statisticians improve the salience, timeliness and depth of their output. This data, however, tends to be locked away within the private sector. We argue that this should change and we propose a set of principles under which the public and the private sector can form partnerships to leverage the potential of new-generation data in the public interest. The principles, compatible with a variety of legal frameworks, aim at establishing trust between data collectors, data subjects, and statistical authorities, while also ensuring the technical usability of the data and the sustainability of partnerships over time. They are driven by a logic of incentive compatibility and burden sharing….(More)”

Safeguarding Public Values in Cooperation with Big Tech Companies: The Case of the Austrian Contact Tracing App Stopp Corona


Paper by Valerie Eveline: “In April 2020, at the beginning of the COVID-19 pandemic, the Austrian Red Cross announced it was encouraging a cooperation with Google and Apple’s Exposure Notification Framework to develop the so-called Stop Corona app – a contact tracing app which would support health personnel in monitoring the spread of the virus to prevent new infections (European Commission, 2020a). The involvement of Google and Apple to support combating a public health emergency fueled controversy over addressing profit-driven private interests at the expense of public values. Concerns have been raised about the dominant position of US based big tech companies in political decision concerning public values. This research investigates how public values are safeguarded in cooperation with big tech companies in the Austrian contact tracing app Stop Corona. Contact tracing apps manifest a bigger trend in literature, signifying power dynamics of big tech companies, governments, and civil society in relation to public values. The theoretical foundation of this research form prevailing concepts from Media and Communication Studies (MCS) and Science and Technology Studies (STS) about power dynamics such as the expansion of digital platforms and infrastructures, the political economy of big tech companies, dependencies, and digital platforms and infrastructure governance.

The cooperative responsibility framework guides the empirical investigation in four main steps. First steps identify key public values at stake and main stakeholders. After, public deliberations on advancing public values and the translation of public values based on the outcome of public deliberation are analyzed….(More)”.

The Patient, Data Protection and Changing Healthcare Models


Book by Griet Verhenneman on The Impact of e-Health on Informed Consent, Anonymisation and Purpose Limitation: “Healthcare is changing. It is moving to a paperless environment and becoming a team-based, interdisciplinary and patient-centred profession. Modern healthcare models reflect our data-driven economy, and adopt value-driven strategies, evidence-based medicine, new technology, decision support and automated decision-making. Amidst these changes are the patients, and their right to data protection, privacy and autonomy. The question arises of how to match phenomena that characterise the predominant ethos in modern healthcare systems, such as e-health and personalised medicine, to patient autonomy and data protection laws. That matching exercise is essential. The successful adoption of ICT in healthcare depends, at least partly, on how the public’s concerns about data protection and confidentiality are addressed.

Three backbone principles of European data protection law are considered to be bottlenecks for the implementation of modern healthcare systems: informed consent, anonymisation and purpose limitation. This book assesses the adequacy of these principles and considers them in the context of technological and societal evolutions. A must-read for every professional active in the field of data protection law, health law, policy development or IT-driven innovation…(More)”.

Proposal for a European Interoperability Framework for Smart Cities and Communities (EIF4SCC) published


Article by Nóirín Ní Earcáin: “In recognition of the importance of interoperability and the specific challenges it presents in a city context, The Commission (DG DIGIT and DG CONNECT) appointed Deloitte and KU Leven to prepare a Proposal for a European Interoperability Framework for Smart Cities and Communities. While an EIF for eGovernment has been in place since 2010, this is the first time the concepts and ideas developed there have been adapted to the local context.

The aim of the EIF4SCC is to provide EU local administration leaders with definitions, principles, recommendations, practical use cases drawn from cities and communities from around Europe and beyond, and a common model to facilitate delivery of services to the public across domains, cities, regions and borders.

The framework was developed by building on and finding complementarities with previous and ongoing initiatives, such as the Living-in.EU movement, the 2017 European Interoperability Framework (EIF), the Minimal Interoperability Mechanisms (MIMs Plus) and the outcomes of EU funded initiatives (e.g.Connecting Europe Facility (CEF) Digital Building BlocksSmart Cities MarketplaceIntelligent Cities ChallengeDigital Transition Partnership under the Urban Agenda) and EU funded projects (SynchronicityTriangulum, etc.).

Why do cities and communities need interoperability?

The EIF4SCC is targeted at EU local administration leaders and aims to provide a generic framework of interoperability of all types, and how it can contribute to the development of a Smart(er) City/Community. This will pave the way for services for citizens and business to be offered not only in a single city, but also across cities, regions and across borders.

European Interoperability Framework for Smart Cities and Communities

The EIF4SCC includes three concepts (interoperability, smart city or community, EIF4SCC), five principles (drawing on the Living-in.EU declaration), and seven elements (consisting of the five components of interoperability, one cross-cutting layer – Integrated Service Governance, and a foundational layer of Interoperability Governance)….The European Commission encourages local administrations at regional, city and community level to review the Proposed EIF4SCC, and the accompanying Final Study Report which details the methodology, literature review, and stakeholder engagement process undertaken. It will be discussed through the Living-in.EU community and other fora, with a view to its adoption as an official Commission document, based on users’ and stakeholders’ feedback…(More)”.

Helsinki invites cyclists to collect data on street conditions and earn money


Article at the Mayor.eu: “From Saturday 10 July, cyclists in Helsinki will be able to earn money doing what they love whilst simultaneously helping the municipality repair damaged streets. This was announced on 28 June when the City of Helsinki shared that all residents are invited to take part in a game to map out 300 kilometres of cycling paths in the capital.

In a press release, the City of Helsinki reports that anyone can participate as long as they have a bicycle and a smartphone. To take part, one must simply download the free application Crowdchupa and attach their phone to their bicycle. The device will then record footage of the streets and Artificial Intelligence will be used to identify damage that must be repaired.

To make this even more interesting, the Crowdchupa application will allow participants to earn money. The application features a map which depicts various objects (such as coins and berries) on the streets. Cyclists must drive over these virtual objects to collect them and earn money….(More)”.

Human behaviour: what scientists have learned about it from the pandemic


Stephen Reicher at The Conversation: “During the pandemic, a lot of assumptions were made about how people behave. Many of those assumptions were wrong, and they led to disastrous policies.

Several governments worried that their pandemic restrictions would quickly lead to “behavioural fatigue” so that people would stop adhering to restrictions. In the UK, the prime minister’s former chief adviser Dominic Cummings recently admitted that this was the reason for not locking down the country sooner.

Meanwhile, former health secretary Matt Hancock revealed that the government’s failure to provide financial and other forms of support for people to self-isolate was down to their fear that the system “might be gamed”. He warned that people who tested positive may then falsely claim that they had been in contact with all their friends, so they could all get a payment.

These examples show just how deeply some governments distrust their citizens. As if the virus was not enough, the public was portrayed as an additional part of the problem. But is this an accurate view of human behaviour?

The distrust is based on two forms of reductionism – describing something complex in terms of its fundamental constituents. The first is limiting psychology to the characteristics – and more specifically the limitations – of individual minds. In this view the human psyche is inherently flawed, beset by biases that distort information. It is seen as incapable of dealing with complexity, probability and uncertainty – and tending to panic in a crisis.

This view is attractive to those in power. By emphasising the inability of people to govern themselves, it justifies the need for a government to look after them. Many governments subscribe to this view, having established so-called nudge units – behavioural science teams tasked with subtly manipulating people to make the “right” decisions, without them realising why, from eating less sugar to filing their taxes on time. But it is becoming increasingly clear that this approach is limited. As the pandemic has shown, it is particularly flawed when it comes to behaviour in a crisis.

In recent years, research has shown that the notion of people panicking in a crisis is something of a myth. People generally respond to crises in a measured and orderly way – they look after each other.

The key factor behind this behaviour is the emergence of a sense of shared identity. This extension of the self to include others helps us care for those around us and expect support from them. Resilience cannot be reduced to the qualities of individual people. It tends to be something that emerges in groups.

Another type of reductionism that governments adopt is “psychologism” – when you reduce the explanation of people’s behaviour to just psychology…(More)”.

COVID data is complex and changeable – expecting the public to heed it as restrictions ease is optimistic


Manuel León Urrutia at The Conversation: “I find it tempting to celebrate the public’s expanding access to data and familiarity with terms like “flattening the curve”. After all, a better informed society is a successful society, and the provision of data-driven information to the public seems to contribute to the notion that together we can beat COVID.

But increased data visibility shouldn’t necessarily be interpreted as increased data literacy. For example, at the start of the pandemic it was found that the portrayal of COVID deaths in logarithmic graphs confused the public. Logarithmic graphs control for data that’s growing exponentially by using a scale which increases by a factor of ten on the y, or vertical axis. This led some people to radically underestimate the dramatic rise in COVID cases.

Two graphs comparing linear with logorithmic curves
A logorithmic graph (on the right) flattens exponential curves, which can confuse the public. LSE

The vast amount of data we now have available doesn’t even guarantee consensus. In fact, instead of solving the problem, this data deluge can contribute to the polarisation of public discourseOne study recently found that COVID sceptics use orthodox data presentation techniques to spread their controversial views, revealing how more data doesn’t necessarily result in better understanding. Though data is supposed to be objective and empirical, it has assumed a political, subjective hue during the pandemic….

This is where educators come in. The pandemic has only strengthened the case presented by academics for data literacy to be included in the curriculum at all educational levels, including primary. This could help citizens navigate our data-driven world, protecting them from harmful misinformation and journalistic malpractice.

Data literacy does in fact already feature in many higher education roadmaps in the UK, though I’d argue it’s a skill the entire population should be equipped with from an early age. Misconceptions about vaccine efficacy and the severity of the coronavirus are often based on poorly presented, false or misinterpreted data. The “fake news” these misconceptions generate would spread less ferociously in a world of data literate citizens.

To tackle misinformation derived from the current data deluge, the European Commission has funded projects such as MediaFutures and YourDataStories….(More)”.