OpenData.Innovation: an international journey to discover innovative uses of open government data


Nesta: “This paper by Mor Rubinstein (Open Knowledge International) and Josh Cowls and Corinne Cath (Oxford Internet Institute) explores the methods and motivations behind innovative uses of open government data in five specific country contexts – Chile, Argentine, Uruguay, Israel, and Denmark; and considers how the insights it uncovers might be adopted in a UK context.

Through a series of interviews with ‘social hackers’ and open data practitioners and experts in countries with recognised open government data ‘hubs’, the authors encountered a diverse range of practices and approaches in how actors in different sectors of society make innovative uses of open government data. This diversity also demonstrated how contextual factors shape the opportunities and challenges for impactful open government data use.

Based on insights from these international case studies, the paper offers a number of recommendations – around community engagement, data literacy and practices of opening data – which aim to support governments and citizens unlock greater knowledge exchange and social impact through open government data….(More)”

Open Data in Southeast Asia


Book by Manuel Stagars: “This book explores the power of greater openness, accountability, and transparency in digital information and government data for the nations of Southeast Asia. The author demonstrates that, although the term “open data” seems to be self-explanatory, it involves an evolving ecosystem of complex domains. Through empirical case studies, this book explains how governments in the ASEAN may harvest the benefits of open data to maximize their productivity, efficiency and innovation. The book also investigates how increasing digital divides in the population, boundaries to civil society, and shortfalls in civil and political rights threaten to arrest open data in early development, which may hamper post-2015 development agendas in the region. With robust open data policies and clear roadmaps, member states of the ASEAN can harvest the promising opportunities of open data in their particular developmental, institutional and legal settings. Governments, policy makers, entrepreneurs and academics will gain a clearer understanding of the factors that enable open data from this timely research….(More)”

Reforms to improve U.S. government accountability


Alexander B. Howard and Patrice McDermott in Science: “Five decades after the United States first enacted the Freedom of Information Act (FOIA), Congress has voted to make the first major reforms to the statute since 2007. President Lyndon Johnson signed the first FOIA on 4 July 1966, enshrining in law the public’s right to access to information from executive branch government agencies. Scientists and others around the world can use the FOIA to learn what the U.S. government has done in its policies and practices. Proposed reforms should be a net benefit to public understanding of the scientific process and knowledge, by increasing the access of scientists to archival materials and reducing the likelihood of science and scientists being suppressed by official secrecy or bureaucracy.

Although the FOIA has been important for accountability, reform is sorely needed. An analysis of the 15 federal government agencies that received the most FOIA requests found poor to abysmal compliance rates (1, 2). In 2016, the Associated Press found that the Obama Administration had set a new record for unfulfilled FOIA requests (3). Although that has to be considered in the context of a rise in request volume without commensurate increases in resources to address them, researchers have found that most agencies simply ignore routine requests for travel schedules (4). An audit of 165 federal government agencies found that only 40% complied with the E-FOIA Act of 1996; just 67 of them had online libraries that were regularly updated with a substantial number of documents released under FOIA (5).

In the face of growing concerns about compliance, FOIA reform was one of the few recent instances of bicameral bipartisanship in Congress, with both the House and Senate each passing bills this spring with broad support. Now that Congress moved to send the Senate bill on to the president to sign into law, implementation of specific provisions will bear close scrutiny, including the potential impact of disclosure upon scientists who work in or with government agencies (6). Proposed revisions to the FOIA statute would improve how government discloses information to the public, while leaving intact exemptions for privacy, proprietary information, deliberative documents, and national security.

Features of Reforms

One of the major reforms in the House and Senate bills was to codify the “presumption of openness” outlined by President Obama the day after he took office in January 2009 when he declared that FOIA should be administered with a clear presumption: In the face of doubt, “openness” would prevail. This presumption of openness was affirmed by U.S. Attorney General Holder in March 2009. Although these declarations have had limited effect in the agencies (as described above), codifying these reforms into law is crucial not only to ensure that this remains executive branch policy after this president leaves office but also to provide requesters with legal force beyond an executive order….(More)”

Privacy concerns in smart cities


Liesbet van Zoonen in Government Information Quarterly: “In this paper a framework is constructed to hypothesize if and how smart city technologies and urban big data produce privacy concerns among the people in these cities (as inhabitants, workers, visitors, and otherwise). The framework is built on the basis of two recurring dimensions in research about people’s concerns about privacy: one dimensions represents that people perceive particular data as more personal and sensitive than others, the other dimension represents that people’s privacy concerns differ according to the purpose for which data is collected, with the contrast between service and surveillance purposes most paramount. These two dimensions produce a 2 × 2 framework that hypothesizes which technologies and data-applications in smart cities are likely to raise people’s privacy concerns, distinguishing between raising hardly any concern (impersonal data, service purpose), to raising controversy (personal data, surveillance purpose). Specific examples from the city of Rotterdam are used to further explore and illustrate the academic and practical usefulness of the framework. It is argued that the general hypothesis of the framework offers clear directions for further empirical research and theory building about privacy concerns in smart cities, and that it provides a sensitizing instrument for local governments to identify the absence, presence, or emergence of privacy concerns among their citizens….(More)”

Why we no longer trust the experts


Gillian Tett in the Financial Times: “Last week, I decided to take a gaggle of kids for an end-of-school-year lunch in a New York neighbourhood that I did not know well. I duly began looking for a suitable restaurant. A decade ago, I would have done that by turning to a restaurant guide. In the world I grew up in, it was normal to seek advice from the “experts”.

But in Manhattan last week, it did not occur to me to consult Fodor’s. Instead, I typed what I needed into my cellphone, scrolled through a long list of online restaurant recommendations, including comments from people who had eaten in them — and picked one.

Yes, it was a leap of faith; those restaurant reviews might have been fake. But there were enough voices for me to feel able to trust the wisdom of the cyber crowds — and, as it happened, our lunch choice was very good.

This is a trivial example of a much bigger change that is under way, and one that has some thought-provoking implications in the wake of the Brexit vote. Before the referendum, British citizens were subjected to a blitz of advice about the potential costs of Brexit from “experts”: economists, central bankers, the International Monetary Fund and world leaders, among others. Indeed, the central strategy of the government (and other “Remainers”) appeared to revolve around wheeling out these experts, with their solemn speeches and statistics….

I suspect that it indicates something else: that citizens of the cyber world no longer have much faith in anything that experts say, not just in the political sphere but in numerous others too. At a time when we increasingly rely on crowd-sourced advice rather than official experts to choose a restaurant, healthcare and holidays, it seems strange to expect voters to listen to official experts when it comes to politics.

In our everyday lives, we are moving from a system based around vertical axes of trust, where we trust people who seem to have more authority than we do, to one predicated on horizontal axes of trust: we take advice from our peer group.

You can see this clearly if you look at the surveys conducted by groups such as the Pew Research Center. These show that faith in institutions such as the government, big business and the media has crumbled in recent years; indeed, almost the only institution in the US that has bucked the trend is the military.

What is even more interesting to look at, however, are the areas where trust remains high. In an annual survey conducted by the Edelman public relations firm, people in 20 countries are asked who they trust. They show rising confidence in the “a person like me” category, and surprisingly high trust in digital technology. We live in a world where we increasingly trust our Facebook friends and the Twitter crowd more than we do the IMF or the prime minister.

In some senses, this is good news. Relying on horizontal axes of trust should mean more democracy and empowerment for ordinary citizens. But the problem of this new world is that people can fall prey to social fads and tribalism — or groupthink…..

Either way, nobody is going to put this genie back into the bottle. So we all need to think about what creates the bonds of “trust” in today’s world. And recognise that the 20th-century model of politics, with its reverence for experts and fixed parties, may eventually seem as outdated as restaurant guides. We live in volatile time…(More)”

Data-Driven Justice Initiative, Disrupting Cycle of Incarceration


The White House: “Every year, more than 11 million people move through America’s 3,100 local jails, many on low-level, non-violent misdemeanors, costing local governments approximately $22 billion a year. In local jails, 64 percent of people suffer from mental illness, 68 percent have a substance abuse disorder, and 44 percent suffer from chronic health problems. Communities across the country have recognized that a relatively small number of these highly vulnerable people cycle repeatedly not just through local jails, but also hospital emergency rooms, shelters, and other public systems, receiving fragmented and uncoordinated care at great cost to American taxpayers, with poor outcomes.

For example, in Miami-Dade, Florida found that 97 people with serious mental illness accounted for $13.7 million in services over four years, spending more than 39,000 days in either jail, emergency rooms, state hospitals or psychiatric facilities in their county. In response, the county provided key mental health de-escalation training to their police officers and 911 dispatchers and, over the past five years, Miami-Dade police have responded to nearly 50,000 calls for service for people in mental health crisis, but have made only 109 arrests, diverting more than 10,000 people to services or safely stabilizing situations without arrest. The jail population fell from over 7000 to just over 4700 and the county was able to close an entire jail facility, saving nearly $12 million a year.

In addition, on any given day, more than 450,000 people are held in jail before trial, nearly 63 percent of the local jail population, even though they have not been convicted of a crime. A 2014 study of New York’s Riker’s Island jail found more than 86% percent of detained individuals were held on a bond of $500 or less. To tackle the challenges of bail, in 2014 Charlotte-Mecklenburg, NC began using a data-based risk assessment tool to identify low risk people in jail and find ways to release them safely. Since they began using the tool, the jail population has gone down 20 percent, significantly more low-risk individuals have been released from jail, and there has been no increase in reported crime.

To break this cycle of incarceration, the Administration has launched the Data-Driven Justice Initiative with a bipartisan coalition of city, county, and state governments who have committed to using data-driven strategies to divert low-level offenders with mental illness out of the criminal system and to change approaches to pre-trial incarceration so that low risk offenders no longer stay in jail simply because they cannot afford a bond. These innovative strategies, which have measurably reduced jail populations in several communities, help stabilize individuals and families, better serve communities, and, often, saves money in the process. DDJ communities commit to:

  1. combining data from across criminal justice and health systems to identify the individuals with the highest number of contacts with police, ambulance, emergency departments, and other services, and, leverage existing resources to link them to health, behavioral health, and social services in the community;
  2. equipping law enforcement and first responders to enable more rapid deployment of tools, approaches, and other innovations they need to safely and more effectively respond to people in mental health crisis and divert people with high needs to identified service providers instead of arrest; and
  3. working towards using objective, data-driven, validated risk assessment tools to inform the safe release of low-risk defendants from jails in order to reduce the jail population held pretrial….(More: FactSheet)”

Intermediation in Open Development


Katherine M. A. Reilly and Juan P. Alperin at Global Media Journal: “Open Development (OD) is a subset of ICT4D that studies the potential of ITenabled openness to support social change among poor or marginalized populations. Early OD work examined the potential of IT-enabled openness to decentralize power and enable public engagement by disintermediating knowledge production and dissemination. However, in practice, intermediaries have emerged to facilitate open data and related knowledge production activities in development processes. We identify five models of intermediation in OD work: decentralized, arterial, ecosystem, bridging, and communities of practice and examine the implications of each for stewardship of open processes. We conclude that studying OD through these five forms of intermediation is a productive way of understanding whether and how different patterns of knowledge stewardship influence development outcomes. We also offer suggestions for future research that can improve our understanding of how to sustain openness, facilitate public engagement, and ensure that intermediation contributes to open development….(More)”

Open data for transit app developers


Springwise: “Creating good transit apps can be difficult, given the vast amount of city (and worldwide) data app builders need to have access to. Aiming to address this, Transitland is an open platform that aggregates publicly available transport information from around the world.

The startup cleans the data sets, making them easy-to-use, and adds them to Mapzen, an open source mapping platform. Mapzen Turn-by-Turn is the platform’s transport planning service that, following its latest expansion, now contains data from more than 200 regions around the world on every continent except Antarctica. Transitland encourages anyone interested in transport, data and mapping to get involved, from adding data streams to sharing new apps and analyses. Mapzen Turn-by-Turn also manages all licensing related to use of the data, leaving developers free to discover and build. The platform is available to use for free.

We have seen a platform enable data sharing to help local communities and governments work better together, as well as a startup that visualizes government data so that it is easy-to-use for entrepreneurs….(More)”

Due Diligence? We need an app for that


Ken Banks at kiwanja.net: “The ubiquity of mobile phones, the reach of the Internet, the shear number of problems facing the planet, competitions and challenges galore, pots of money and strong media interest in tech-for-good projects has today created the perfect storm. Not a day goes by without the release of an app hoping to solve something, and the fact so many people are building so many apps to fix so many problems can only be a good thing. Right?

The only problem is this. It’s become impossible to tell good from bad, even real from fake. It’s something of a Wild West out there. So it was no surprise to see this happening recently. Quoting The Guardian:

An app which purported to offer aid to refugees lost in the Mediterranean has been pulled from Apple’s App Store after it was revealed as a fake. The I Sea app, which also won a Bronze medal at the Cannes Lions conference on Monday night, presented itself as a tool to help report refugees lost at sea, using real-time satellite footage to identify boats in trouble and highlighting their location to the Malta-based Migrant Offshore Aid Station (Moas), which would provide help.

In fact, the app did nothing of the sort. Rather than presenting real-time satellite footage – a difficult and expensive task – it instead simply shows a portion of a static, unchanging image. And while it claims to show the weather in the southern Mediterranean, that too isn’t that accurate: it’s for Western Libya.

The worry isn’t only that someone would decide to build a fake app which ‘tackles’ such an emotive subject, but the fact that this particular app won an award and received favourable press. Wired, Mashable, the Evening Standard and Reuters all spoke positively about it. Did no-one check that it did what it said it did?

This whole episode reminds me of something Joel Selanikio wrote in his contributing chapter to two books I’ve recently edited and published. In his chapters, which touch on his work on the Magpi data collection tool in addition to some of the challenges facing the tech-for-development community, Joel wrote:

In going over our user activity logs for the online Magpi app, I quickly realised that no-one from any of our funding organisations was listed. Apparently no-one who was paying us had ever seen our working software! This didn’t seem to make sense. Who would pay for software without ever looking at it? And if our funders hadn’t seen the software, what information were they using when they decided whether to fund us each year?

…The shear number of apps available that claim to solve all manner of problems may seem encouraging on the surface – 1,500 (and counting) to help refugees might be a case in point – but how many are useful? How many are being used? How many solve a problem? And how many are real?

Due diligence? Maybe it’s time we had an app for that…(More)”

Crowdsourcing privacy policy analysis: Potential, challenges and best practices


Paper by , and : “Privacy policies are supposed to provide transparency about a service’s data practices and help consumers make informed choices about which services to entrust with their personal information. In practice, those privacy policies are typically long and complex documents that are largely ignored by consumers. Even for regulators and data protection authorities privacy policies are difficult to assess at scale. Crowdsourcing offers the potential to scale the analysis of privacy policies with microtasks, for instance by assessing how specific data practices are addressed in privacy policies or extracting information about data practices of interest, which can then facilitate further analysis or be provided to users in more effective notice formats. Crowdsourcing the analysis of complex privacy policy documents to non-expert crowdworkers poses particular challenges. We discuss best practices, lessons learned and research challenges for crowdsourcing privacy policy analysis….(More)”