News in a Digital Age – Comparing the Presentation of News Information over Time and Across Media Platform


Report by Rand Corporation: “Over the past 30 years, the way that Americans consume and share information has changed dramatically. People no longer wait for the morning paper or the evening news. Instead, equipped with smartphones or other digital devices, the average person spends hours each day online, looking at news or entertainment websites, using social media, and consuming many different types of information. Although some of the changes in the way news and information are disseminated can be quantified, far less is known about how the presentation of news—that is, the linguistic style, perspective, and word choice used when reporting on current events and issues—has changed over this period and how it differs across media platforms.

We aimed to begin to fill this knowledge gap by identifying and empirically measuring how the presentation of news by U.S. news sources has changed over time and how news presentation differs across media platforms….(More)”.

Open government in authoritarian regimes


Paper by Karl O’Connor, Colin Knox and Saltanat Janenova: “Open government has long been regarded as a pareto-efficient policy – after all, who could be against such compelling policy objectives as transparency, accountability, citizen engagement and integrity. This paper addresses why an authoritarian state would adopt a policy of open government, which seems counter-intuitive, and tracks its outworking by examining several facets of the policy in practice. The research uncovers evidence of insidious bureaucratic obstruction and an implementation deficit counter-posed with an outward-facing political agenda to gain international respectability. The result is ‘half-open’ government in which the more benign elements have been adopted but the vested interests of government and business elites remain largely unaffected….(More)”.

Humans and Big Data: New Hope? Harnessing the Power of Person-Centred Data Analytics


Paper by Carmel Martin, Keith Stockman and Joachim P. Sturmberg: “Big data provide the hope of major health innovation and improvement. However, there is a risk of precision medicine based on predictive biometrics and service metrics overwhelming anticipatory human centered sense-making, in the fuzzy emergence of personalized (big data) medicine. This is a pressing issue, given the paucity of individual sense-making data approaches. A human-centric model is described to address the gap in personal particulars and experiences in individual health journeys. The Patient Journey Record System (PaJR) was developed to improve human-centric healthcare by harnessing the power of person-centred data analytics using complexity theory, iterative health services and information systems applications over a 10 year period. PaJR is a web-based service supporting usually bi-weekly telephone calls by care guides to individuals at risk of readmissions.

This chapter describes a case study of the timing and context of readmissions using human (biopsychosocial) particular data which is based on individual experiences and perceptions with differing patterns of instability. This Australian study, called MonashWatch, is a service pilot using the PaJR system in the Dandenong Hospital urban catchment area of the Monash Health network. State public hospital big data – the Victorian HealthLinks Chronic Care algorithm provides case finding for high risk of readmission based on disease and service metrics. Monash Watch was actively monitoring 272 of 376 intervention patients, with 195 controls over 22 months (ongoing) at the time of the study.

Three randomly selected intervention cases describe a dynamic interplay of self-reported change in health and health care, medication, drug and alcohol use, social support structure. While the three cases were at similar predicted risk initially, their cases represented different statistically different time series configurations and admission patterns. Fluctuations in admission were associated with (mal)alignment of bodily health with psychosocial and environmental influences. However human interpretation was required to make sense of the patterns as presented by the multiple levels of data.

A human-centric model and framework for health journey monitoring illustrates the potential for ‘small’ personal experience data to inform clinical care in the era of big data predominantly based on biometrics and medical industrial process. ….(More)”.

Government support is a key factor for civic technology


Blog Post by Rebecca Rumbul: “Civic tech is on a huge growth curve. There is much more of it about now than there was ten years ago. At the same time, it is changing the scope and reach, and becoming much more mainstream. Ten years ago civic tech was hardly spoken about by anyone. It was largely the domain of ‘outsiders’, by which I mean campaigners and data specialists working outside the mainstream. Today civic tech is an accepted, respected and widely used form of engaging citizens.

The movement over that ten years has mostly been gradual, but over the last couple of years, there has been a really significant shift in how civic tech is viewed both by those within and outside the sector. A wider range of funders are more interested in supporting projects, government seems to have woken up to how civic tech can really be a spur to public engagement, and the word is getting out there to people on the street. Quite literally. At mySociety our FixMyStreet app now garners in the region of six thousand citizen reports of things like potholes and fly-tipping every week.

This maturing of attitudes towards and use of civic tech is wonderful to see. Those pioneers who saw a problem wrote a bit of code and put it online as a way of immediately finding a way to fix the problem have seen their often locally focused efforts contribute to the growth of a global phenomenon in a really short space of time.  And we are in a process here. There is no doubt that civic tech continues to grow and continues to make an impact way beyond its humble beginnings.

But the way civic tech develops is not uniform around the world, and it does need a number of circumstances to converge to make it really sing. That coming together of citizen awareness, government buy-in and funding support is crucial to its success. And there are other important factors too.

We’ve been researching the impact of civic tech around the world, and one of the most interesting things we’ve learned is that the movement is working with institutions much more today than it did five or ten years ago…(More)“.

Open data could have helped us learn from another mining dam disaster


Paulo A. de Souza Jr. at Nature: “The recent Brumadinho dam disaster in Brazil is an example of infrastructure failure with catastrophic consequences. Over 300 people were reported dead or missing, and nearly 400 more were rescued alive. The environmental impact is massive and difficult to quantify. The frequency of these disasters demonstrates that the current assets for monitoring integrity and generating alerting managers, authorities and the public to ongoing change in tailings are, in many cases, not working as they should. There is also the need for adequate prevention procedures. Monitoring can be perfect, but without timely and appropriate action, it will be useless. Good management therefore requires quality data. Undisputedly, management practices of industrial sites, including audit procedures, must improve, and data and metadata available from preceding accidents should be better used. There is a rich literature available about design, construction, operation, maintenance and decommissioning of tailing facilities. These include guidelines, standards, case studies, technical reports, consultancy and audit practices, and scientific papers. Regulation varies from country to country and in some cases, like Australia and Canada, it is controlled by individual state agencies. There are, however, few datasets available that are shared with the technical and scientific community more globally; particularly for prior incidents. Conspicuously lacking are comprehensive data related to monitoring of large infrastructures such as mining dams.

Today, Scientific Data published a Data Descriptor presenting a dataset obtained from 54 laboratory experiments on the breaching of fluvial dikes because of flow overtopping. (Re)use of such data can help improve our understanding of fundamental processes underpinning industrial infrastructure collapse (e.g., fluvial dike breaching, mining dam failure), and assess the accuracy of numerical models for the prediction of such incidents. This is absolutely essential for better management of floods, mitigation of dam collapses, and similar accidents. The authors propose a framework that could exemplify how data involving similar infrastructure can be stored, shared, published, and reused…(More)”.

When to Use User-Centered Design for Public Policy


Stephen Moilanen at the Stanford Social Innovation Review: “Throughout Barack Obama’s presidency, technology company executives regularly sounded off on what, from their perspective, the administration might do differently. In 2010, Steve Jobs reportedly warned Obama that he likely wouldn’t win reelection, because his administration’s policies disadvantaged businesses like Apple. And in a speech at the 2016 Republican National Convention, Peter Thiel expressed his disapproval of the political establishment by quipping, “Instead of going to Mars, we have invaded the Middle East.”

Against this backdrop, one specific way Silicon Valley has tried to nudge Washington in a new direction is with respect to policy development. Specifically, leading technologists have begun encouraging policy makers to apply user-centered design (otherwise known as design thinking or human-centered design) to the public sector. The thinking goes that if government develops policy with users more squarely in mind, it might accelerate social progress rather than—as has often been the case—stifle it.

At a moment when fewer Americans than ever believe government is meeting their needs, a new approach that elevates the voices of citizens is long overdue. Even so, it would be misguided to view user-centered design as a cure-all for what ails the public sector. The approach holds great promise, but only in a well-defined set of circumstances.

User-Centered Design in the Public Policy Arena

The term “user-centered design” refers simply to a method of building products with an eye toward what users want and need.

To date, the approach has been applied primarily to the domain of for-profit start-ups. In recent months and years, however, supporters of user-centered design have sought to introduce it to other domains. A 2013 article authored by the head of a Danish design consultancy, for example, heralded the fact that “public sector design is on this rise.” And in the recent book Lean Impact, former Google executive and USAID official Ann-Mei Chang made an incisive and compelling case for why the social sector stands to benefit from this approach.

According to this line of thinking, we should be driving toward a world where government designs policy with an eye toward the individuals that stand to benefit from—or that could be hurt by—changes to public policy.

An Imperfect Fit

The merits of user-centered design in this context may seem self-evident. Yet it stands in stark contrast to how public sector leaders typically approach policy development. As leading design thinking theorist Jeanne Liedkta notes in her book Design Thinking for the Greater Good, “Innovation and design are [currently] the domain of experts, policy makers, planners and senior leaders. Everyone else is expected to step away.”

But while user-centered design has much to offer the policy development, it does not map perfectly onto this new territory….(More)”.

Living Labs As A Collaborative Framework For Changing Perceptions And Goals


Co-Val: “In the…Report on cross-country comparison on existing innovation and living labsLars Fuglsang and Anne Vorre Hansen from Roskilde University describe various applications of living labs to decision-making. The basic two examples are living labs as a collaborative framework for changing perceptions and goals and living labs as an ecosystem for policy innovation.

Living labs can involve a change in mindset and goals as expressed in one paper on public sector innovation labs (Carstensen & Bason, 2012). Carstensen and Bason (2012) report the important story of the Danish Mindlab (2002-2018) – a cross-governmental innovation lab involving public sector organisations, citizens and businesses in creating new solutions for society. They argue that innovation labs are designed to foster collaboration since labs are platforms where multiple stakeholders can engage in interaction, dialogue, and development activities.  Innovation needs a different approach than everyday activities and a change in mindset and culture shift of employees towards thinking more systematically about innovation. Mindlab’s methodologies are anchored in design thinking, qualitative research and policy development, with the aim of capturing the subjective reality experienced by both citizens and businesses in the development of new solutions. Carstensen and Bason (2012) list the following key principles of Mindlab: take charge of on-going renewal, maintain top management backing, create professional empathy, insist on collaboration, do – don’t just think, recruit and develop likeable people, don’t be too big, communicate.

Also, Buhr et al. (2016) show how living labs can be important for developing and implementing collective goals and creating new opportunities for citizens to influence public affairs. They describe two cases in two suburban areas (located in Sweden and Finland), where the living lab approach was used to improve the feeling of belonging in a community. In one of the two suburbs studied, a living lab approach was used to change the lightning on a pathway that seemed unsafe; and in the other case, a living lab approach was used to strengthen the social community by renovating a kiosk and organizing varied activities for the citizens. Both living labs motivated the residents to work on societal goals for sustainability and choose solutions. The study indicates that a living lab approach can be used for gaining support for change and thereby increasing the citizens’ appreciation of a local area. Further, living labs may give citizens a feeling that they are being listened to. Living labs can thus create opportunities for citizens to develop the city together with municipal policy-makers and other stakeholders and enable policy-makers to respond to the expressed needs of the citizens….(More)”

Pitfalls of Aiming to Empower the Bottom from the Top: The Case of Philippine Participatory Budgeting


Paper by Joy Aceron: “… explains why and how a reform program that opened up spaces for participatory budgeting was ultimately unable to result in pro-citizen power shifts that transformed governance. The study reviews the design and implementation of Bottom-Up Budgeting (BuB), the nationwide participatory budgeting (PB) program in the Philippines, which ran from 2012 to 2016 under the Benigno Aquino government. The findings underscore the importance of institutional design to participatory governance reforms. BuB’s goal was to transform local government by providing more space for civil society organizations (CSOs) to co-identify projects with the government and to take part in the budgeting process, but it did not strengthen CSO or grassroots capacity to hold their Local Government Units (LGUs) accountable.

The BuB design had features that delivered positive gains towards citizen empowerment, including: (1) providing equal seats for CSOs in the Local Poverty Reduction Action Team (LPRAT), which are formally mandated to select proposed projects (in contrast to the pre-existing Local Development Councils (LDCs), which have only 25 percent CSO representation); (2) CSOs identified their LPRAT representatives themselves (as opposed to local chief executives choosing CSO representatives, as in the LDCs); and (3) LGUs were mandated to follow participatory requirements to receive additional funding. However, several aspects of the institutional design shifted power from local governments to the central government. This had a “centralizing effect”…

This study argues that because of these design problems, BuB fell short in achieving its main political reform agenda of empowering the grassroots—particularly in enabling downward accountability that could have enabled lasting pro-citizen power shifts. It did not empower local civil society and citizens to become a countervailing force vis-à-vis local politicians in fiscal governance. BuB is a case of a reform that provided a procedural mechanism for civil society input into national agency decisions but was unable to improve government responsiveness. It provided civil society with ‘voice’, but was constrained in enabling ‘teeth’. Jonathan Fox (2014) refers to “voice” as citizen inputs, feedback and action, while “teeth” refer to the capacity of the state to respond to voice.

Finally, the paper echoes the results of other studies which find that PB programs become successful when complemented by other institutional and state democratic capacity-building reforms and when they are part of a broader progressive change agenda. The BuB experience suggests that to bolster citizen oversight, it is essential to invest sufficient support and resources in citizen empowerment and in creating an enabling environment for citizen oversight….(More)”.

Democracy as Failure


Paper by Aziz Z. Huq: “The theory and the practice of democracy alike are entangled with the prospect of failure. This is so in the sense that a failure of one kind or another is almost always to be found at democracy’s inception. Further, different kinds of shortfalls dog its implementation. No escape is found in theory, which precipitates internal contradictions that can only be resolved by compromising important democratic values. A stable democratic equilibrium proves elusive because of the tendency of discrete lapses to catalyze wider, systemically disruption. Worse, the very pervasiveness of local failure also obscures the tipping point at which systemic change occurs. Social coordination in defense of democracy is therefore very difficult, and its failure correspondingly more likely. This thicket of intimate entanglements has implications for both the proper description and normative analysis of democracy. At a minimum, the nexus of democracy and failure elucidates the difficulty of dichotomizing democracies into the healthy and the ailing. It illuminates the sound design of democratic institutions by gesturing toward resources usefully deployed to mitigate the costs of inevitable failure. Finally, it casts light on the public psychology best adapted to persisting democracy. To grasp the proximity of democracy’s entanglements with failure is thus to temper the aspiration for popular self-government as a steady-state equilibrium, to open new questions about the appropriate political psychology for a sound democracy, and to limn new questions about democracy’s optimal institutional specification….(More)”.

Data Trusts, Health Data, and the Professionalization of Data Management


Paper by Keith Porcaro: “This paper explores how trusts can provide a legal model for professionalizing health data management. Data is potential. Over time, data collected for one purpose can support others. Clinical records at a hospital, created to manage a patient’s care, can be internally analyzed to identify opportunities for process and safety improvements at a hospital, or externally analyzed with other records to identify optimal treatment patterns. Data also carries the potential for harm. Personal data can be leaked or exposed. Proprietary models can be used to discriminate against patients, or price them out of care.

As novel uses of data proliferate, an individual data holder may be ill-equipped to manage complex new data relationships in a way that maximizes value and minimizes harm. A single organization may be limited by management capacity or risk tolerance. Organizations across sectors have digitized unevenly or late, and may not have mature data controls and policies. Collaborations that involve multiple organizations may face coordination problems, or disputes over ownership.

Data management is still a relatively young field. Most models of external data-sharing are based on literally transferring data—copying data between organizations, or pooling large datasets together under the control of a third party—rather than facilitating external queries of a closely held dataset.

Few models to date have focused on the professional management of data on behalf of a data holder, where the data holder retains control over not only their data, but the inferences derived from their data. Trusts can help facilitate the professionalization of data management. Inspired by the popularity of trusts for managing financial investments, this paper argues that data trusts are well-suited as a vehicle for open-ended professional management of data, where a manager’s discretion is constrained by fiduciary duties and a trust document that defines the data holder’s goals…(More)”.