Open Data Blueprint


ODX Canada: “In Canada, the open data environment should be viewed as a supply chain. The movement of open data from producers to consumers involves many different organizations, people, activities, projects and initiatives, all of which work together to push out a final product. Naturally, if there is a break or hurdle in this supply chain, it doesn’t work efficiently. A fundamental hurdle highlighted by companies across the country was the inability to scale their business at the provincial, national and international levels.

This blueprint aims to address the challenges Canadian entrepreneurs are facing by encouraging municipalities to launch open data initiatives. By sharing best practices, we hope to encourage the accessibility of datasets within existing jurisdictions. The structured recommendations in this Open Data Blueprint are based on feedback and best practices seen in major cities across Canada collected through ODX’s primary research….(More)”

(Read more about the OD150 initiative here)

Connecting societal issues, users and data. Scenario-based design of open data platforms


Erna Ruijer et al in Government Information Quarterly: “Governments around the world make their data available through platforms but, disappointingly, the use of this data is lagging behind. This problem has been recognized in the literature and to facilitate use of open datasets, scholars have focused on identifying general user requirements for open data platform design. This approach however fails to take into account the variation of open data practices and specific contexts of usage. This study, therefore, argues that next to general requirements: we also need to collect context-specific user requirements for open data platforms. We take different societal issues as the starting point for open data platform design. To illustrate the value of this context-specific approach, we apply scenario-based design methodology in the Province of Groningen in The Netherlands. The results show that different scenarios result partly in similar but also partly in different user requirements, leading to a deeper and richer understanding of user requirements. We conclude that a context-specific approach thereby connecting data, users and societal issues can be used to guide government agencies and designers in efforts to develop open data platforms that actually meet the needs of citizens….(More)”.

Lessons from Airbnb and Uber to Open Government as a Platform


Interview by Marquis Cabrera with Sangeet Paul Choudary: “…Platform companies have a very strong core built around data, machine learning, and a central infrastructure. But they rapidly innovate around it to try and test new things in the market and that helps them open themselves for further innovation in the ecosystem. Governments can learn to become more modular and more agile, the way platform companies are. Modularity in architecture is a very fundamental part of being a platform company; both in terms of your organizational architecture, as well as your business model architecture.

The second thing that governments can learn from a platform company is that successful platform companies are created with intent. They are not created by just opening out what you have available. If you look at the current approach of applying platform thinking in government, a common approach is just to take data and open it out to the world. However, successful platform companies first create a shaping strategy to shape-out and craft a direction of vision for the ecosystem in terms of what they can achieve by being on the platform. They then provision the right tools and services that serve the vision to enable success for the ecosystem[1] . And only then do they open up their infrastructure. It’s really important that you craft the right shaping strategy and use that to define the rights tools and services before you start pursuing a platform implementation.

In my work with governments, I regularly find myself stressing the importance of thinking as a market maker rather than as a service provider. Governments have always been market makers but when it comes to technology, they often take the service provider approach.

In your book, you used San Francisco City Government and Data.gov as examples of infusing platform thinking in government. But what are some global examples of governments, countries infusing platform thinking around the world?

One of the best examples is from my home country Singapore, which has been at the forefront of converting the nation into a platform. It has now been pursuing platform strategy both overall as a nation by building a smart nation platform, and also within verticals. If you look particularly at mobility and transportation, it has worked to create a central core platform and then build greater autonomy around how mobility and transportation works in the country. Other good examples of governments applying this are Dubai, South Korea, Barcelona; they are all countries and cities that have applied the concept of platforms very well to create a smart nation platform. India is another example that is applying platform thinking with the creation of the India stack, though the implementation could benefit from better platform governance structures and a more open regulation around participation….(More)”.

Madrid as a democracy lab


Bernardo Gutiérrez at OpenDemocracy: “…The launch of Decide Madrid, the city participation platform running on the Consul free software, signaled a real revolution. On the one hand, it paved the way for democracy from the bottom up, through direct and binding mechanisms. Unlike other historical participatory budgets, the 100 million Euros devoted to Decide Madrid participatory budgets in 2017 are allocated according to proposals coming from below. The proposals that get the most votes, whenever technically feasible, are approved. The platform also carries a section for “citizen proposals”. …

The Decide Madrid platform was not initially well received by the traditional neighbourhood associations, used to face-to-face participation and to mediating between citizens and government. In order to tackle this, a number of face-to-face deliberation spaces are being set up, such as the Local Forums (physical participation spaces in the districts), and also projects such as If you feel like a cat (participation for children and teenagers), or processes such as G1000, which aims at promoting collective deliberation and fostering proposals from below on the basis of a representative sample of the population, so that the participants’ diversity and plurality is guaranteed.

Most projects are being carried out with the support of the new Laboratories of Citizen Innovation of the prestigious Medialab-Prado. The Participa LAB(Collective Intelligence for Democracy), the DataLab (open data) and the InciLab (Citizen Innovation Lab) are joint public/common initiatives, acting as a bridge between local government and citizens. The Participa LAB, which is the one working more closely on participation, is collaborating with Decide Madridin a number of projects (Codat Madrid hackathons, If you feel like a cat, community lines, gamification, G1000, narrative groups…) and coordinates the Collective Intelligence for Democracy international call. InciLab has launched, among many other initiatives, the Madrid Listens project, to connect City Hall officials with citizens on concrete projects, blending disintermediation and the citizen lab philosophy.

More than 300.000 users strong, Decide Madrid is consolidating itself as the hegemonic space for participation in the city. It activates a variety of processes, debates, proposals, and projects. Its free software means that any city can adapt Consul to its needs, without any substantial investment, and set up a platform. From Barcelona to A Coruña, from Rome to Paris and Buenos Aires, dozens of institutions around the world have replicated the initial Decide Madrid core, thus setting up what Audrey Tang, Taiwan’s digital minister, calls a “liquid federation of cities”. Ada Colau, the mayor of Barcelona, praising the cooperative network of participation cities says: “It is very interesting that in Barcelona we have been able to carry out our first experience of digital participation, Decidim Barcelona, adapting Madrid’s base code. Once we have had a first proposal, we have shared it with many municipalities throughout Catalonia”.

Distributed democracy

The brain as a metaphor. A map of Hamburg (Germany) as a symbol of the networked, decentralized city. Neurons and neighbourhoods connected by flows, inevitably synchronized. Both images are to be found in Emergency, Steven Johnson’s classic book on collective intelligence processes. The city as a brain, as a whole made of decentralized nodes. The city as an open network, where any neighbourhood-node can connect with any other. Caio Vassão’s concept of a distributed city rounds the edges of the city with no centre, “networked, open, fluid, flexible, adaptable, reconfigurable”. A city where the neighbourhoods in the suburbs dialogue and relate to each other without the mediation of a historical center.

Left: Diagram of the human brain. Image source: Mittermeier. Right: Map of Hamburg, circa 1850. Image source: Princeton Architectural Press.

Madrid has kick-started a forceful decentralization policy. Distributed democracy in Madrid can be seen in how budgets are allocated, how city districts have multiplied their resources and partly manage cultural festivals (like the Summers in the City) and cultural projects (Madrid District).

At the same time, the launching of the Local Forums is a clear move to decentralize power and participation in the city. Through projects such as Experiment District (travelling citizen laboratories), Imagine Madrid (rethinking 10 territories) or the M.A.R.E.S project, Spain’s capital city is redrawing its neighbourhood fabric, its economic relations, and citizen involvement in decision making. The successful Medialab-Prado’s Experiment District project, which has already visited Villaverde, Moratalaz and Fuencarral, is in full expansion. It is about to even launch a global call, as dozens of cities around the world want to replicate it. Medialab-Prado, one of the city innovation centres, defines Experiment District as a set of “citizen labs for experimenting and collaborative learning in which anyone can participate”. Citizen (neighbourhood) labs based on the prototyping culture, an open and collaborative way of developing projects. Citizen (neighbourhood) labs for learning and teaching, where the result is not a perfect product, but a process that can be improved in real time through the collaboration of citizens from the Madrid neighbourhoods….(More)”

The ethics issue: Should we abandon privacy online?


Special issue of the New Scientist: “Those who would give up essential Liberty to purchase a little temporary Safety,” Benjamin Franklin once said, “deserve neither Liberty nor Safety.” But if Franklin were alive today, where would he draw the line? Is the freedom to send an encrypted text message essential? How about the right to keep our browsing history private? What is the sweet spot between our need to be left alone and our desire to keep potential criminals from communicating in secret?

In an age where fear of terrorism is high in the public consciousness, governments are likely to err on the side of safety. Over the past decade, the authorities have been pushing for – and getting – greater powers of surveillance than they have ever had, all in the name of national security.

The downsides are not immediately obvious. After all, you might think you have nothing to hide. But most of us have perfectly legal secrets we’d rather someone else didn’t see. And although the chances of the authorities turning up to take you away in a black SUV on the basis of your WhatsApp messages are small in free societies, the chances of insurance companies raising your premiums are not….(More)”.

A City Is a Data Pool: Blockchains and the Crypto-City


Paper by Jason PottsEllie Rennie and Jake Goldenfein: “The Smart City agenda of integrating ICT and Internet of Things (IoT) informatic infrastructure to improve the efficiency and adaptability of city governance has been shaping urban development policy for more than a decade now. A smart city has more data, gathered though new and better technology, delivering higher quality city services. In this paper, we explore how blockchain technology could shift the Smart City agenda by altering transaction costs with implications for the coordination of infrastructures and resources. Like the Smart City the Crypto City utilizes data informatics, but can be coordinated through distributed rather than centralized systems. The data infrastructure of the Crypto-City can enable civil society to run local public goods, and facilitate economic and social entrepreneurship. Drawing on economic theory of transaction costs, the paper sets out an explanatory framework for understanding the kinds of new governance mechanisms that may emerge in conjunction with automated systems, including the challenges that blockchain poses for cities….(More)”.

Tackling Challenges in the Engagement of Citizens with Smart City Initiatives


Paper by Long Pham and Conor Linehan: “Smart City (SC) initiatives offer best possible outcomes to  citizens and other stakeholders when those people are  involved centrally in all stages of the project. However,  undertaking design processes that facilitate citizen  engagement often involves prohibitive challenges in cost,  design and deployment mechanisms, particularly for small  cities that have limited resources. We report on a project  carried out in Cork City, a small city in Ireland, where a  method inspired by crowdsourcing was used to involve  local participants in decisions regarding smart city  infrastructure. Academics, local government, volunteers  and civil organisations came together to collaboratively  design and carry out a study to represent local interests  around the deployment of smart city infrastructure. Our  project demonstrates a new way of translating  crowdsourcing for use in government problem-solving. It  was comparatively inexpensive, creative in design, and  flexible but collaborative in deployment, resulting in high  volume of reliable data for project prioritisation and  implementation….(More)”

Open Data as Enabler of Public Service Co-creation: Exploring the Drivers and Barriers


Paper by Maarja Toots: “Open data is being increasingly looked at as a major driver of public service innovation. Open access to datasets and advanced analytical tools are believed to generate valuable new knowledge that can be turned into data-driven services. At the same time, open data is also believed to spur open governance and enable the engagement of various stakeholders in the co-creation of services. Despite this appealing vision of open data-driven co-creation of public services, we are far from understanding how it can be realized in practice. We turned to 63 experts and practitioners in a survey covering six European countries and found a multitude of barriers that need to be overcome first. Luckily we also found some drivers. This paper provides some first insights into these drivers and barriers and proposes policy recommendations to foster a data-driven transformation of public service creation….(More)”.

Open data: Accountability and transparency


 at Big Data and Society: “The movements by national governments, funding agencies, universities, and research communities toward “open data” face many difficult challenges. In high-level visions of open data, researchers’ data and metadata practices are expected to be robust and structured. The integration of the internet into scientific institutions amplifies these expectations. When examined critically, however, the data and metadata practices of scholarly researchers often appear incomplete or deficient. The concepts of “accountability” and “transparency” provide insight in understanding these perceived gaps. Researchers’ primary accountabilities are related to meeting the expectations of research competency, not to external standards of data deposition or metadata creation. Likewise, making data open in a transparent way can involve a significant investment of time and resources with no obvious benefits. This paper uses differing notions of accountability and transparency to conceptualize “open data” as the result of ongoing achievements, not one-time acts….(More)”.

Justice in Algorithmic Robes


Editorial by Joseph Savirimuthu of a Special Issue of the International Review of Law, Computers & Technology: “The role and impact of algorithms has attracted considerable interest in the media. Its impact is already being reflected in adjustments made in a number of sectors – entertainment, travel, transport, cities and financial services. From an innovation point of view, algorithms enable new knowledge to be created and identify solutions to problems. The emergence of smart sensing technologies, 3D printing, automated systems and robotics is seamlessly being interwoven into discourses such as ‘the collaborative economy’, ‘governance by platforms’ and ‘empowerment’. Innovations such as body worn cameras, fitness trackers, 3D printing, smart meters, robotics and Big Data hold out the promise of a new algorithmic future. However, the shift in focus from natural and scarce resources towards information also makes individuals the objects and the mediated construction of access and knowledge infrastructures now provide the conditions for harnessing value from data. The increasing role of algorithms in environments mediated by technology also coincide with growing inter-disciplinary scholarship voicing concerns about the vulnerability of the values we associate with fundamental freedoms and how these are being algorithmically reconfigured or dismantled in a systematic manner. The themed issue, Justice in Algorithmic Robes, is intended to initiate a dialogue on both the challenges and opportunities as digitalization ushers in a period of transformation that has no immediate parallels in terms of scale, speed and reach. The articles provide different perspectives to the transformation taking place in the digital environment. The contributors offer an inter-disciplinary view of how the digital economy is being invigorated and evaluate the regulatory responses – in particular, how these transformations interact with law. The different spheres covered in Justice in Algorithmic Robes – the relations between the State and individuals, autonomous technology, designing human–computer interactions, infrastructures of trust, accountability in the age of Big Data, and health and wearables – not only reveal the problem of defining spheres of economic, political and social activity, but also highlight how these contexts evolve into structures for dominance, power and control. Re-imagining the role of law does not mean that technology is the problem but the central idea from the contributions is that how we critically interpret and construct Justice in Algorithmic Robes is probably the first step we must take, always mindful of the fact that law may actually reinforce power structures….(Full Issue)”.